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LOCATION:McArthur Ballroom
DTSTART;TZID=America/Phoenix:20240912T173000
DTEND;TZID=America/Phoenix:20240912T183000
UID:HFESAM_ASPIRE - Presented by HFES_sess108@linklings.com
SUMMARY:Poster Session 2
DESCRIPTION:Poster\n\n13. Investigating Training and Priming to Combat Phi
 shing on Instagram Shop\n\nPhishing attacks have been primarily delivered 
 through emails but have recently found new platforms through social networ
 king services (SNSs). Numerous methods to combat email phishing have been 
 tested, but few have been tested to combat phishing on SNSs. The current s
 tudy investigated the efficacy ...\n\n\nKatherine Garcia and Jing Chen (Ri
 ce University)\n---------------------\n78. Investigating Factors Influenci
 ng Construction Worker Productivity:  The Case of the Middle East\n\nThe c
 onstruction industry still faces unique challenges in fully replacing huma
 n labor with automation. This is due to the extensive reliance on manual w
 ork across a wide range of activities, including but not limited to tiling
 , masonry block laying, framing, and plastering. Another common issue in .
 ..\n\n\nTala Yunis, Issam Srour, and Karim Zahed (American University of B
 eirut)\n---------------------\n80. Noise in the Vote-by-Mail Process: A Ca
 lifornia Case Study\n\nThe danger of noise for workers in a production env
 ironment is widely known. Vote-by-mail (VBM) is a process-oriented system 
 that enfranchises voters to participate in democracy by offering a conveni
 ent and flexible way to cast their votes. VBM’s popularity has increased o
 ver the last two deca...\n\n\nLeonie S. Otte and Gretchen A. Macht (Univer
 sity of Rhode Island)\n---------------------\n36. Exploring Learning Paths
 : Understanding the Learning Strategies of Artificial Intelligence System 
 Users and Their Involvement in Social Forums\n\nAlthough AI and automation
  has advanced substantially, systems remain plagued with errors and unpred
 ictable behavior. This is especially likely to impact inexperienced users,
  who are unlikely to be able to predict or avoid problems.  Linja et al (2
 021) found that users of the Tesla Full Self-Driving...\n\n\nTauseef Ibne 
 Mamun and Shane Mueller (Michigan Technological University)\n-------------
 --------\n48. Mathematical Modeling of the Dynamics of Trust in Automation
 \n\nTrust in automation (TiA) is crucial for human-automation interactions
 , but traditionally measured statically via discrete survey data points. W
 e developed a mathematical model capturing the dynamic nature of TiA, inco
 rporating measurable components across different timescales, and validated
  it thro...\n\n\nCarlos Bustamante Orellana, Lucero Rodriguez Rodriguez, L
 ixiao Huang, Nancy Cooke, and Yun Kang (Arizona State University)\n-------
 --------------\n71. Can Exoskeletons Support Patient Handling Tasks Perfor
 med by Emergency Medical Technicians?\n\nWe aimed to investigate the effec
 ts of wearing back-support exoskeletons (BSEs) on patient handling tasks r
 outinely used in emergency response operations. Twelve young, healthy part
 icipants completed three cooperative patient handling tasks (direct ground
  lift, extremity lift, and diamond carry) usi...\n\n\nJangho Park (Clemson
  University), Jason Moats (Texas A&M University), and Divya Srinivasan (Cl
 emson University)\n---------------------\n8. A Comparative Evaluation of A
 d Hoc Team Performance, Effectiveness and Interactions in Modern Collabora
 tive Technology\n\nThis study directly responds to calls for more empirica
 l research into collaborative communication technologies (Erez et al., 201
 3; Simao et al., 2016), aiming to optimize tools for ad hoc, distributed t
 eamwork. It contributes evidence-based recommendations for designing and i
 mplementing such techno...\n\n\nBeau Schelble (Clemson University)\n------
 ---------------\n115. The Intersection of Voice Assistants and Autonomous 
 Vehicles: A Scoping Review\n\nVoice assistants are increasingly popular in
  automated vehicles, with over one-third of United States drivers using th
 em. The in-car voice assistant market is expected to reach a significant v
 alue by 2031, yet more knowledge is needed for future technology advanceme
 nts. A scoping review was conducte...\n\n\nAries Chu and Gaojian Huang (Sa
 n Jose State University)\n---------------------\n104. Assessing Meaningful
  Visual and Tactile Feedback for Effective Automated Vehicle Takeover by H
 earing and Non-Hearing Drivers\n\nWith SAE Level 3 automated vehicles hand
 ling most driving tasks, there are still situations when the driver needs 
 to take over. Multimodal displays have been introduced to inform drivers o
 f the need to take over for critical scenarios (e.g., in construction zone
 s) in instructional or informational f...\n\n\nAries Chu, Wei-Hsiang Lo, a
 nd Gaojian Huang (San Jose State University)\n---------------------\n99. A
  Process for Deriving Heartrate Variability and its Comparison to Self-Rep
 orted Driver State\n\nThis project focuses on the utilization of physiolog
 ical heart rate variability (HRV) metrics derived from electrocardiograms 
 (ECG). Furthermore, we also determined the best devices for data recording
  and developed an automated HRV processing pipeline. The HRV metrics were 
 employed to monitor the re...\n\n\nCal Heffernan, Mansoor Nasir, and Kseni
 a Kozak (Ford Motor Company)\n---------------------\n15. Applying User-Cen
 tered Design to Space Mission Planning\n\nWith the rising prominence of sp
 ace exploration, including civilian travel, there is a critical need for m
 ore individuals to grasp fundamental astrodynamic concepts to ensure the s
 afety of space missions (Cole, 2015). Unfortunately, the software programs
  currently used to estimate space trajectories...\n\n\nMichelle Aros and B
 arbara Chaparro (Embry-Riddle Aeronautical University)\n------------------
 ---\n4. Vulnerable Communities in the Face of Heat: A Pilot Study on Perce
 ptions, Behaviors and Support Networks During Heat Events\n\nExtreme heat 
 is the cause of most US weather-related deaths and is a serious risk for o
 lder adults, children, and people with medical issues living in vulnerable
  neighborhoods. This study explored how extreme heat events affect vulnera
 ble communities, focusing on people’s perceptions, adaptive...\n\n\nTian Y
 ao, Michael Dorneich, and Ulrike Passe (Iowa State University); Nicholas S
 chwab and Mary Losch (University of Northern Iowa); Caroline Krejci (Unive
 rsity of Texas at Arlington); and Jeremy Caron (City of Des Moines)\n-----
 ----------------\n44. Human-Centered and Explainable Artificial Intelligen
 ce in Nuclear Operations\n\nThe operating fleet of light water nuclear rea
 ctors in the United States is modernizing from analog to digital instrumen
 tation and control systems, while advanced reactor designs feature fully d
 igital control rooms. New concepts of operations will require significant 
 increases in the level of automa...\n\n\nAnna Hall, Ronald Boring, and Viv
 ek Agarwal (Idaho National Laboratory) and Patrick Murray (EQRPI, Inc.)\n-
 --------------------\n105. Capturing the Mind: Non-Driving-Related Tasks a
 s a Window Into Cognitive Engagement in Automated Driving\n\nSupervising a
 utomated driving requires visual, manual, and cognitive engagement from th
 e driver. While visual and manual engagement measures are already develope
 d and implemented, cognitive engagement is much more difficult to observe.
  Considering drivers’  self-regulatory behavior when involv...\n\n\nXiaolu
  Bai and Jing Feng (North Carolina State University)\n--------------------
 -\n9. Expanding Computer-Aided Text Analysis by Using Fine-Tuned Transform
 ers for Classification of Domain-Specific Teaming Dialogues\n\nIn support 
 of deploying models for computationally feasible automated assessment of d
 omain-specific real-world team communications, we conduct pilot text class
 ification experiments to identify effective transformer-based language mod
 els and fine-tuning procedures. We use a corpus of dialogues from a...\n\n
 \nPeter Zukerman and Adam Stiff (DCS Corp) and Michael Tolston (U.S. Air F
 orce Research Laboratory)\n---------------------\n93. On Enhancing General
  Aviation Safety:  The Integration of Generative AI in Preflight Weather P
 lanning\n\nArtificial Intelligence (AI) permeates daily life and industrie
 s through enhanced machine learning, natural language processing, and comp
 uter vision. Generative AI, a significant advancement, mimics human-like t
 ext and makes data-driven decisions, particularly in generative AI applica
 tions. Explorin...\n\n\nStephen Woods and Elizabeth Blickensderfer (Embry-
 Riddle Aeronautical University)\n---------------------\n82. Relationship B
 etween Head Tilt Angle and Smartphone Tilt Angle\n\nMonitoring head postur
 e during smartphone usage in daily activities could help the users to  man
 age potential musculoskeletal problems related to the neck. Our study expl
 ored the possibility of monitoring head tilt angle in various users’ postu
 res from smartphone tilt angle with IMU sensors. \n...\n\n\nJiwon Ryu, Gwa
 nseob Shin, and Yunbeom Nam (Ulsan National Institute of Science & Technol
 ogy)\n---------------------\n19. K-12 Outreach: Experiential Learning in H
 uman Factors With Laparoscopic Surgery Trainer Box\n\nOutreach programs ca
 n inspire curiosity fostering creativity in K-12 students in science, tech
 nology, engineering, and mathematics (STEM) education. They can play a piv
 otal role in getting students to pursue further studies or careers in STEM
 -related fields. By providing hands-on experiences and exp...\n\n\nNathan 
 Lau (Virginia Polytechnic Institute and State University)\n---------------
 ------\n62. Quantifying Trust Evolution Through Predictability of Complian
 ce Behavior: A Dynamical Systems Perspective\n\nRecurrence quantification 
 analysis (RQA) is a nonlinear technique for modeling dynamic patterns in c
 omplex systems (Riley & Van Orden, 2005). The application of RQA spans man
 y fields, but notably, has been used to analyze communication patterns and
  psychological data to understand team behaviors and...\n\n\nMatthew Peel 
 (Arizona State University)\n---------------------\n113. Managing Attention
  During Virtual Meetings in Partially-Automated Vehicles\n\nThe number of 
 people working remotely has increased substantially, with 18% of people in
  the US doing so in 2021. Existing video conferencing software has made it
  easier for individuals to have an immersive meeting experience. At the sa
 me time, automated driving systems (ADS) are becoming more capab...\n\n\nD
 avid Prendez (University of Washington)\n---------------------\n49. Pertur
 bations Detection in Space-Based HMTs in Different Layers\n\nIn the realm 
 of Human-Machine Teaming (HMT), collaborative efforts between humans, robo
 ts, and AI are critical to the success of space missions. These teams face
  "perturbations" like communication delays, which challenge real-time deci
 sion-making. Our study assesses these unique challenges, using a ...\n\n\n
 Elmira Zahmat Doost and Jamie C. Gorman (Arizona State University)\n------
 ---------------\n86. Visual Analysis within Three-Dimensional Hand Scans t
 o Define Hand Envelopes\n\nHand envelopes are a helpful tool to begin usin
 g 3D hand scans to drive ergonomic design decision making beyond providing
  traditional anthropometric measurements. The goal of this research was to
  create a visual analysis method for the hand envelope by exploring the ma
 ximum limits of the dynamic han...\n\n\nVanessa Segura Duque and Tse-Hsun 
 Kuo (University of Minnesota), Kelsey Hitt and Peeyush Kumar (Toyota), and
  Dr. Linsey Griffin (University of Minnesota)\n---------------------\n119.
  Integrating Positive Train Control (PTC) with Grade Crossing Systems for 
 Enhanced Rail Safety\n\nThis study examines how PTC can improve rail safet
 y at grade crossings despite not being designed to prevent improper vehicu
 lar movement. An extensive literature review outlines the operational char
 acteristics and limitations of both PTC and grade-crossing warning systems
 , aiming to identify effecti...\n\n\nYalda Khashe, John Ferrant, and Alex 
 Wang (University of Southern California)\n---------------------\n34. Evalu
 ation Approaches for Human-AI Teaming: Guidance for Practitioners\n\nAre y
 ou a practitioner who needs to understand how well human-AI teaming is sup
 ported in your tool? This poster provides actionable lessons learned, leve
 l of effort, and appropriate development lifecycle phase for a range of us
 er engagement methods. We describe three types of user engagements: Co-de.
 ..\n\n\nPatty McDermott (MITRE) and Katja Sednew (The MITRE Corporation)\n
 ---------------------\n23. Using a Self-Compassion Intervention to Increas
 e Engineering Self-Efficacy of Women Pursuing Engineering in Higher Educat
 ion\n\nWomen are still underrepresented in fields related to Science, Tech
 nology, Engineering, and Mathematics (STEM). The most significant gender g
 ap being engineering, where women make up only 21% of engineering majors. 
 Lack of self-efficacy is one variable that has been implicated as a barrie
 r for women...\n\n\nTaylor Kampf and Heather Lum (Arizona State University
 )\n---------------------\n96. The Influence of Operator Trust on Human-Rob
 ot Interaction Within Teams\n\nUtilizing advanced machinery in team enviro
 nments often necessitates reliance on a leader, or “operator,” who is in c
 harge of interfacing with technology directly on the team’s behalf. This i
 s particularly evident in modern military missions, where teams depend on 
 operators of robo...\n\n\nHeidi Segars and Anne Collins McLaughlin (North 
 Carolina State University), Ericka Rovira (U.S. Military Academy at West P
 oint), and Susan Mohammed (Pennsylvania State University)\n---------------
 ------\n18. Emotional Ability and Its Connection with Academic Performance
 : An Exploratory Study on HBCU Students Post-COVID\n\nEmpathy, the ability
  to understand others’ emotions and thoughts, fosters clearer communicatio
 n and reduces stress, conflict, and aggression. In educational settings, i
 t correlates with heightened competence and strong student-instructor rela
 tionships, thereby enhancing learning quality. Howev...\n\n\nHyung Nam Kim
  (North Carolina A&T State University)\n---------------------\n74. Evaluat
 ing Practices to Reduce Work Related Injuries in Healthcare Workers: A Rev
 iew\n\nHealthcare workers play a critical role in the modern healthcare sy
 stem, providing quality care to countless patients. The role of a healthca
 re worker is high stakes which can be both mentally and physically taxing 
 (Lucchini et al., 2020).  Research indicates that 20% of all serious workp
 lace injuri...\n\n\nJason Stoltz (University of Rhode Island, Brown Univer
 sity) and Caitlin Murray and Jesse Duroha (University of Rhode Island)\n--
 -------------------\n81. Package Delivered: Ergonomic Intervention for Del
 ivery Drivers\n\nWhile the initial focus was on low back pain and implemen
 ting a lumbar support system to combat this issue in delivery drivers, our
  findings indicate that several areas essential to completing the job (e.g
 ., knees, hips, shoulders, and elbows) all showed improvement with added l
 umbar support.\nWhile ...\n\n\nNicholas Horn (Embry-Riddle Aeronautical Un
 iversity) and McKenna Tooker (Naval Postgraduate School)\n----------------
 -----\n64. Identifying Parenting Challenges During the COVID-19 Pandemic: 
 A Survey-Based Study\n\nThe COVID-19 pandemic brought significant changes 
 in parenting practices worldwide. Shutting down schools, work-from-home re
 gulations, and social isolation due to lockdowns caused dramatic changes t
 o the lifestyles of parents and children. With lockdowns and restrictions 
 becoming the new norm, paren...\n\n\nPratima Saravanan, Nurul Ahad Choudhu
 ry, and Sachithra Karunathilake (Oklahoma State University)\n-------------
 --------\n42. How Can Artificial Intelligence Team-Mates Know What Humans 
 Want? Using Eye-Tracking Data to Infer Human Preferences in Game-Theoretic
  Decision Tasks\n\nFor human-agent teams, it is as important for agents to
  have models of their human teammates as it is for humans to have models o
 f their agent teammates. However, approaches to knowledge elicitation have
  wrestled with the problem of capturing human knowledge when much of it is
  tacit and difficult to...\n\n\nChristopher Baber and Aditya Acharya (Univ
 ersity of Birmingham), Andrew Howes (Exeter University), Leonardo Stella (
 University of Birmingham), and Daniel Cassenti and Alfred Yu (U.S. Army DE
 VCOM)\n---------------------\n83. The Effects of Soft and Rigid Back Suppo
 rt Exoskeletons on Muscle Activity and User Perception During Simulated Au
 tomotive Assembly\n\nMost prior work on back-support exoskeletons has focu
 sed on simplistic tasks that may not replicate real-world scenarios. This 
 study explored the effectiveness of BSEs in a realistic simulation of auto
 motive assembly: eighteen participants performed a 20-minute task battery 
 without an exoskeleton, w...\n\n\nZeinab Kazemi and Divya Srinivasan (Clem
 son University)\n---------------------\n21. Pedagogical Agent in Math Vers
 us Art Lessons: Impact on Learning, Perceived Workload and Motivation\n\nP
 edagogical agents (PAs) are virtual anthropomorphic characters designed to
  enhance learning in digital environments. This study examined the differe
 ntial impacts of PAs on learning outcomes in mathematics versus art lesson
 s. Using a subset of data from a larger study, 32 responses (N = 29) to PA
 -en...\n\n\nReganne Miller and Richard Catrambone (Georgia Institute of Te
 chnology)\n---------------------\n24. Visual Instructor Presence: Impacts 
 and Implications\n\nThe aim of this experiment was to examine the relation
 ship between individual attentional control capabilities and learning from
  video-based lectures with differing amounts of visual stimuli. Research s
 uggests that extraneous stimuli in lectures, such as visual instructor pre
 sence, may increase cogn...\n\n\nEve Vazquez and Anne Collins McLaughlin (
 North Carolina State University)\n---------------------\n2. Positive Self-
 Perceptions of Aging are Associated With Higher Physical Activity Scores\n
 \nThe prevalence of population aging leads to the need to understand ways 
 of maintaining health-span and cognitive integrity into advanced age. Prio
 r research suggests a bi-directional relationship between physical activit
 y and positive aging mindset. Therefore, the current study sought to deter
 mine i...\n\n\nRachel Sutton (Wichita State University), Traci Hart (Natio
 nal Institute for Aviation Research (NIAR)), and Carryl Baldwin (Wichita S
 tate University)\n---------------------\n47. Kaleidoscope: Detecting the T
 one of the Room\n\nWe aimed to develop a software tool that can determine 
 the “tone of a room” in virtual meetings. Our prototype, Kaleidoscope, use
 s preexisting machine learning and deep learning libraries to analyze the 
 expressed emotions from individuals in an online meeting, and turn that da
 ta into an ...\n\n\nJennifer McVay and Kaitlyn Choy (CACI)\n--------------
 -------\n55. Team Error Management in Human Autonomy Teams\n\nHuman Autono
 my Teams (HATs), where humans collaborate with autonomous agents, are beco
 ming more common. This study investigated how HATs manage errors and the f
 actors influencing their error management processes. Thirty teams were eve
 nly distributed across three training scenarios: Control, Trust Ca...\n\n\
 nRuihao Zhang, Jamie Gorman, and Nancy Cooke (Arizona State University)\n-
 --------------------\n28. Developing a Team Classification Scheme for Huma
 n-Agent Teaming\n\nThis study develops a team classification scheme for hu
 man-agent teaming (HAT) and, based on this, analyzes 25 testbeds utilized 
 in 68 empirical studies on HAT. The team classification scheme, adapting a
 n existing scheme used for human-human teams, consists of 9 dimensions, in
 cluding team compositio...\n\n\nHyesun Chung (University of Michigan), Tim
 othy Holder and Julie Shah (Massachusetts Institute of Technology), and X.
  Jessie Yang (University of Michigan)\n---------------------\n84. The Read
 iness Level of Industry 4.0 Applications and Assistance to Workers: A Syst
 ematic Literature Review\n\nIndustry 4.0 (I-4.0) has revolutionized how go
 ods are manufactured, changing the role of humans in production systems. A
 lthough the benefits of the applications of I-4.0 are widely studied, the 
 current readiness level of these technologies to potentially assist and be
 nefit the worker must be clarifi...\n\n\nLucie Outlaw, Yadrianna Acosta-So
 jo, Gregory Purdy, and Mark Schall (Auburn University)\n------------------
 ---\n94. Perceptions of Autonomous Robot Teammates During Field Operations
 \n\nTrust remains a critical focus within human/robot interaction research
 , as well-calibrated trust results in higher collaborative performance per
 formance.  We investigated the relationship between the perceived characte
 ristics of a robot teammate and trust by equipping United States Military 
 Academy ...\n\n\nTrevor Patten and Rachel Benton (North Carolina State Uni
 versity), Ericka Rovira (United States Military Academy), Susan Mohammed (
 Pennsylvania State University), and Anne Collins McLaughlin (North Carolin
 a State University)\n---------------------\n88. An Analysis of Online Peer
  Support Groups for Informal Caregivers of Patients With Parkinson's Disea
 se\n\nParkinson's Disease (PD) affects over 500,000 Americans, causing sym
 ptoms like tremors and stiffness. Informal caregivers, often family or fri
 ends, play a critical role in providing support, which includes emotional 
 support, assistance with daily activities, and medication management. Howe
 ver, this ...\n\n\nSarvesh Sawant, Nandana Nair, Caroline Clayton, Anirudh
  Vemuri, Avantika Anoop, Agastya Sharma, and Kapil Chalil Madathi (Clemson
  University)\n---------------------\n5. Cognitive and Perceptual Augmentat
 ion Through Neuromodulation During Fatiguing Tasks Is Sex-Specific\n\nTran
 sformative paradigms to proactively mitigate fatigue through noninvasive n
 eurostimulation, such as transcranial direct current stimulation (tDCS), h
 ave been shown to be more effective than existing interventions. The study
  aimed to evaluate the effectiveness of HD-tDCS (High-Definition) as a fat
 ...\n\n\nKieran Nichols and Ranjana Mehta (University of Wisconsin - Madis
 on)\n---------------------\n117. Workload Estimation Using Facial Expressi
 on Analysis\n\nExisting techniques to measure workload are ill-suited in a
 ustere operational environments found in the military or law enforcement. 
  Novel techniques to approximate workload by analyzing facial expressions 
 during task execution from camera video feeds, positioned to capture the f
 rontal view of crew...\n\n\nKayla Riegner and Christopher Mikulski (US Arm
 y Ground Vehicle System Center)\n---------------------\n33. Evaluating Cro
 ss-Training's Impact on Perceived Teaming Outcomes for Human-AI Teams\n\nT
 he rapid integration of artificial intelligence (AI) across various indust
 ries has given rise to human-AI teams (HATs), where collaboration between 
 humans and AI may leverage their unique strengths. However, these teams of
 ten face performance challenges due to mismatches between human expectatio
 ns ...\n\n\nCaitlin Lancaster (Clemson University)\n---------------------\
 n57. The Impact of Communication Timing and Sequencing on Team Performance
 : A Comparative Study of Human-AI and All-Human Teams\n\nCommunication is 
 critical to team coordination and interaction because it provides informat
 ion flows, allowing a team to build team cognition, which contributes to o
 verall team performance. Recent advancements in large language models (LLM
 s) have enhanced AI's capability to mimic human-like interact...\n\n\nShiw
 en Zhou and Jamie Gorman (Arizona State University)\n---------------------
 \n16. Degrees of Freedom Should be Abandoned in Social Science Statistics\
 n\n“Degrees of freedom is a critical core concept within the field of stat
 istics.”  However, “Degrees of freedom is an often confusing, and highly t
 echnical, concept.” Rodgers, J. L. (2019). This study argues the use of de
 grees of freedom should be abandoned. \nFirst, it has no v...\n\n\nScott M
 cIntyre (Arizona State University)\n---------------------\n63. Discovering
  Functional Strength for Infants and Toddlers!\n\nStrength data for childr
 en are used to improve the safety of products for children. For example, g
 ates used to guard hazards in the home are tested to ensure that they cann
 ot be opened or dislodged by the forces that children in the applicable ag
 e range can exert. Few studies have measured strength ...\n\n\nMonica Jone
 s, Sheila M. Ebert, Carl Miller, Brian Eby, Miranda St. Amour, Laura Malik
 , and Matthew P. Reed (University of Michigan)\n---------------------\n67.
  Credible Emergence: Leveraging Bio-Behavioral Data in Agent-Based Models 
 for Dynamic Trust Studies\n\nThis poster advocates for the integration of 
 a mind-motor-machine interaction framework within agent-based models (ABM)
  for trust formation. This method, applied to cognitive states, allows us 
 to consider asymmetric processes, individual trust trajectories, non-linea
 r updates of agent belief states,...\n\n\nMorgan Klaeser and Ranjana Mehta
  (University of Wisconsin - Madison)\n---------------------\n92. No Reacti
 on to Distraction: An Investigation Into Diminished Reality\n\nCombining l
 earning theories and a novel technology, diminished reality (DR), may supp
 ort training in distracting environments. DR can de-emphasize distractions
  and there may be a benefit to using DR in training. However, when a task 
 is expected to be performed amid distractions, removing all distrac...\n\n
 \nImani Murph and Anne Collins McLaughlin (North Carolina State University
 )\n---------------------\n1. Can Exoskeletons Increase Older Workers' Conf
 idence? Implications of Exoskeletons on Aging Workers’ Self-Efficacy\n\nEx
 oskeletons have the potential to help older workers with physical declines
  regain their functional capabilities and successfully meet task demands i
 n physically demanding workplaces. This study investigated whether the int
 roduction of exoskeletons could affect occupational self-efficacy and perc
 ei...\n\n\nSahar Khanpour, Yves Valentin, and HeeSun Choi (Texas Tech Univ
 ersity)\n---------------------\n20. P-Curving the Evidence: P-Values Publi
 shed in Human Factors (2017-2023)\n\nPublication bias and questionable res
 earch practices can inflate the perceived credibility of reported scientif
 ic findings, leading to low replicability. This preregistered study aimed 
 to estimate the evidentiary value of empirical findings published in Human
  Factors journal (2017-2023) using two me...\n\n\nJannah Moussaoui (Drexel
  University) and Jason McCarley (Oregon State University)\n---------------
 ------\n17. Effectiveness of Augmented Reality Training in a Part 147 Main
 tenance Technician School\n\nThis study investigated the use of augmented/
 mixed reality for a procedural aircraft maintenance task for TF-34 aircraf
 t. Efficacy and user perceptions of training using a mixed reality headset
  vs traditional paper instructions. User training time, performance accura
 cy, and user perceptions of diffi...\n\n\nMolly Zimmerman and Barbara Chap
 arro (Embry-Riddle Aeronautical University)\n---------------------\n37. Ex
 ploring the Taxonomy of Gaming Attributes and Feasibility of Human-AI Test
 beds: An Evaluation of Empirical Studies\n\nThe Committee on Human-System 
 Integration Research for the 711th Human Performance Wing of the Air Force
  Research Laboratory identified developing testbeds to support human-AI te
 aming as a crucial research objective. Their report delineated 57 research
  objectives into near-term (1-5 years), mid-term...\n\n\nMaha Khalid, Edua
 rdo Salas, Lila Berger, and Sienna Tu (Rice University)\n-----------------
 ----\n73. Digital Twin for Amputees: A Bidirectional Interaction Modeling 
 and Prototype with Convolutional Neural Network\n\nIn the U.S., over two m
 illion amputees struggle with employment due to ergonomic challenges. Digi
 tal twins, which create virtual replicas of real-world environments using 
 IoT data, offer potential solutions. This research explores the use of dig
 ital twins in creating immersive, virtual rehabilitatio...\n\n\nJunho Park
  (Santa Clara University)\n---------------------\n101. A Systematic Review
  and Meta-Analysis of Older Adults’ Cognitive Impairments and Effects on R
 oad Safety\n\nDriving is challenging for older adults, particularly for th
 ose experiencing cognitive impairments due to Alzheimer’s disease (AD) and
  mild cognitive impairments (MCI). This paper presents a systematic review
  of 39 peer-reviewed studies to investigate the impact of cognitive defici
 ts on older ...\n\n\nYunru Zhang and Wenchao Zhu (Northeastern University)
 , Yan Xiao (University of Texas at Arlington), and Arthur Kramer and Yingz
 i Lin (Northeastern University)\n---------------------\n26. Human-Centric 
 Metrics in Metaverse Evaluation\n\nThe Metaverse, encompassing virtually e
 nhanced physical reality and physically persistent virtual space, holds va
 st potential applications yet faces developmental challenges. Technologica
 l advancements have alleviated many barriers, yet the realization of a suc
 cessful Metaverse is still in its early...\n\n\nTianhang Liu and Heejin Je
 ong (Arizona State University)\n---------------------\n30. Enhancing Priva
 cy Protection for Time-Series Signals in Ergonomics Studies via Data Synth
 esis\n\nBackground: Electromyography (EMG) signal analysis is crucial for 
 diagnosing work-related musculoskeletal disorders, providing insights into
  muscle function and fatigue. However, effective analyses require extensiv
 e EMG datasets, which are scarce.\n\nObjectives: This study uses diffusion
  models to syn...\n\n\nLiwei Qing, Sehee Jung, Bingyi Su, Lu Lu, and Xu Xu
  (North Carolina State University)\n---------------------\n77. How Effecti
 ve are Exoskeletons at Reducing Muscular Demands During Repetitive Trunk B
 ending Tasks?\n\nBack Support Industrial Exoskeletons (BSIEs) offer suppor
 t to the wearer's torso during trunk flexion tasks thereby alleviating low
 -back muscle strain and risk of injury. We conducted a controlled laborato
 ry experiment to bridge the gap between laboratory and field assessments b
 y simulating realisti...\n\n\nPranav Madhav Kuber and Ehsan Rashedi (Roche
 ster Institute of Technology)\n---------------------\n65. Investigating th
 e Latency of an AI Driven Facial Expression Therapy System as a Function o
 f Illumination and Eyeglasses\n\nTo summarize, the research paper presents
  a novel multimodal (visual/audio) driven interactive interfaces that teac
 h subjects to express and recognize emotions.  It progresses from the base
  level where users identify facial expression to levels requiring expressi
 ng context appropriate emotional inte...\n\n\nKorak Sengupta (San Jose Sta
 te University)\n---------------------\n40. Harmony Unleashed: The Interpla
 y of Artificial Intelligence and Human Factors\n\nPANEL SUMMARY\n\nApplica
 tion of Artificial Intelligence in Human Factors\n\nArtificial Intelligenc
 e (Al), a technology developed to enhance human performance is projected t
 o be valued at over $1 trillion by 2030 (Bloomberg, 2023). While scholarly
  work has mentioned examples of Al, its uses have burgeone...\n\n\nRenee J
 ones (Spectrum Software Technology, Inc.); Claire Hayes-Watson (Visionary 
 Consulting Partners, LLC); Brandon Beltz (Spectrum Software Technology, In
 c.); Waylon Krush and Femi Fashsakin (ZeroTrusted.ai); and Lauren Reinerma
 n-Jones (Southwest Research Institute, Defense Acquisition University (DAU
 ))\n---------------------\n108. Effect of Caregiver Burden and Acute Stres
 s on Driving Performance\n\nThe current study examines whether chronic str
 ess due to spousal caregiving, compounded by acute stress, affects driving
  performance. Ten spousal caregivers completed the 12-item Zarit Burden In
 terview to assess caregiver burden level. Acute stress was manipulated by 
 having participants complete the...\n\n\nMyriam Oliver, Patricia DeLucia, 
 and Christopher P. Fagundes (Rice University)\n---------------------\n114.
  Simultaneous Remote Monitoring of Multiple Automated Vehicles\n\nAs vehic
 le automation continues to become a more prevalent part of everyday life, 
 remote\noperators may be able to contribute to making this technology safe
 r and more efficient. Such\noperators could be expected to monitor vehicle
 s until it is necessary for them to intervene. In\nrecent years several c.
 ..\n\n\nLane Shoffner and Jing Feng (North Carolina State University)\n---
 ------------------\n25. Trusting Automation: Applications in the Hospitali
 ty Industry\n\nCOVID-19 has accelerated the ushering of a new technologica
 l age in hospitality. Human factors and ergonomics is known for applying e
 xpert knowledge to areas of potential work system design and automation ac
 ross professional industries. The hospitality industry presents dynamic op
 portunities yet rem...\n\n\nAustin Silva and Erin Chiou (Arizona State Uni
 versity)\n---------------------\n46. Improving Predictions of Cognitive St
 ates for an Adaptive Autonomous System\n\nFuture deep space missions will 
 be challenged by substantial communication latency with Earth. Autonomous 
 systems will likely augment the role of mission control, enabling a more E
 arth-independent crew. To improve the performance of human-autonomy teams,
  autonomous systems can adapt in real-time to ...\n\n\nNicole Rote, Jacob 
 Kintz, Torin Clark, Erin E. Richardson, and Allison P. Hayman (University 
 of Colorado, Boulder)\n---------------------\n10. Objective Metrics to Mea
 sure Non-Technical Skills of Surgeons: A Preliminary Study\n\nAdverse even
 ts in the operating room (OR) often occur from a deterioration of interper
 sonal factors called Non-Techincal Skills (NTS) (Agha et al., 2015; Gilles
 pie et al., 2016; Yule et al., 2005). Communication is a key construct of 
 NTS and any breakdown of communication among the medical personnel...\n\n\
 nShraddhaa Narasimha, Marian Obuseh, Nicholas Eric Anton, and Haozhi Chen 
 (Purdue University); Dimitrios Stefanidis (Indiana University School of Me
 dicine, Fort Wayne); and Denny Yu (Purdue University)\n-------------------
 --\n50. Practical Considerations for Enabling Dynamic Human-AI Teaming Acr
 oss Domains\n\nAs Artificial Intelligence (AI) becomes increasingly capabl
 e, new approaches are needed to ensure that human and AI agents can work t
 ogether to augment the abilities of either alone. These approaches need to
  consider more than just task proficiency, but also creativity, trust, lea
 rning, and team awa...\n\n\nAdam Fouse, Gabriel Ganberg, and Sylvain Bruni
  (Aptima, Inc.)\n---------------------\n87. Looking to the Future: Design 
 of a Shore-Based Decision Support for Maritime Traffic Monitoring\n\nMost 
 of the world's goods are transported by water, regular ferry services take
  us to other shores, fishing boats ensure the supply of fish, recreational
  boaters enjoy their leisure time... It is easy to see that waterways can 
 be quite crowded. Support from the land is needed. However, as this compl.
 ..\n\n\nLilian Susanne Befort (Fraunhofer FKIE)\n---------------------\n14
 . Young Adults' Perception of Privacy and Security Regarding Online Health
 care Platforms\n\nThe increased adoption of online platforms for healthcar
 e delivery raises the need for a heightened awareness of cybersecurity as 
 more data of sensitive nature is being shared online. Understanding users’
  perceptions of privacy and security of online healthcare platforms is imp
 ortant as it can...\n\n\nShababa Matin, Christine Petersen, and Jing Chen 
 (Rice University)\n---------------------\n110. Effects of Automation Relia
 bility on Driver Vigilance\n\nPartially automated vehicles rely on drivers
  to monitor for automation errors and environmental hazards to which the a
 utomation may not respond. However, driver vigilance declines over time, l
 eading to potential safety risks associated with detection failure. This s
 tudy measured driver trust, worklo...\n\n\nAshley Millard and Eric Greenle
 e (Texas Tech University)\n---------------------\n70. An Investigation Int
 o the Practicality of Employing Immersive Virtual Reality to Evaluate Ergo
 nomic Risks Associated With the Peri-Care Task\n\nVirtual Reality (VR) is 
 a promising new technology that has already seen widespread use in the rea
 lm of education and training across many different industries. In recent y
 ears, other fields have begun to expand the usage of virtual reality by in
 corporating it into ergonomic risk assessment. This re...\n\n\nRichard Sto
 ne (Iowa State University); Fatima Mgaedeh (Iowa State University, Jordan 
 University Of Science & Technology); Samer Alhebaishi and Braden Westby (I
 owa State University); Colten Fales (international company); and Varun Sri
 krishnan (Iowa State University)\n---------------------\n56. The Effective
 ness of System-Wide Trust Repair Strategies in a Multi-Component Interface
 \n\nWe were interested in determining whether contagion effects extend to 
 a task environment that includes tasks that are visually incongruent and p
 erform dissimilar task functions. It was also unclear based on previous fi
 ndings whether trust repair strategies operate on a system-wide basis. Par
 ticipant...\n\n\nAndrew Atchley (University of Alabama in Huntsville)\n---
 ------------------\n31. Entropy and Trust Dynamics in Human-Autonomy Teami
 ng\n\nOver the years, trust in HAT has been extensively analyzed by resear
 chers, not just as a static measure but also as a dynamic process. In this
  study, a multiple regression model was employed to explore potential pred
 ictors in tasks that might dynamically influence trust levels. By computin
 g entropy,...\n\n\nXiaoyun Yin and Jamie Gorman (Arizona State University)
 \n---------------------\n52. Programming by Demonstration for Dual-Arm Man
 ipulation\n\nMotivated by the challenges robotic manipulator operators fac
 e with manual control tasks, including fatigue and workload management, th
 is research explores the adoption of a semi-autonomous control method to i
 mprove the work environment quality for operators and task metrics in cont
 rolled situations...\n\n\nKaran Mudgal (Boston University, Draper)\n------
 ---------------\n95. Running as a Woman: The Potential Impact of Geo-Track
 ing Technology on Perceptions of Safety in Trail Running\n\nNature has the
  ability to restore mental fatigue as it expands our visual field instead 
 of demanding attention to detail1. Evidence also states that exercising ou
 tdoors has a clear benefit to mental health in comparison with exercising 
 indoors2. The amplification of green exercise, a term coined to ...\n\n\nR
 osemary O'Neal (North Carolina State University)\n---------------------\n6
 1. Virtual Reality Abdication: Systems for Robotic Teleoperation in Space 
 and Other Dangerous Domains\n\nRobots are being utilized in many different
  ways in today’s society. Teleoperated robots are robots that can be contr
 olled from a distance. This is commonly done with remote controllers\nwhil
 e observing the robot through a screen, but using virtual reality (VR) is 
 also a possibility (Hetrick et...\n\n\nLydia Melles (George Mason Universi
 ty)\n---------------------\n97. Transforming Learning: Assessing the Effic
 acy of a Retrieval-Augmented Generation System as a Tutor for Introductory
  Psychology\n\nThe introduction of Large Language Models (LLMs) have captu
 red public imagination and represent a marked improvement in AI in Educati
 on (AIED) capabilities. But there is concern that student reliance on auto
 mated tools to complete written assignments may lead to a decline in learn
 ing. This study inv...\n\n\nJoseph J. Slade (Oregon State University)\n---
 ------------------\n54. Systematic Literature Review on Shared Leadership 
 to Aid Collaboration and Task Allocation in Human-Autonomy Teams\n\nThe in
 creasing reliance on autonomous agents across various domains necessitates
  reevaluating human-machine dynamics, transitioning from viewing machines 
 as tools, to intelligent teammates. Consequently, task allocation between 
 humans and autonomous agents represents a central research topic for hum..
 .\n\n\nAnirudh More and Nathan Lau (Virginia Polytechnic Institute and Sta
 te University)\n---------------------\n39. Getting Along With Autonomous T
 eammates: Understanding the Socio-Emotional and Teaming Aspects of Trust i
 n Human-Autonomy Teams\n\nTrust plays a critical role in both effective te
 amwork and the effective use of autonomous technologies, and therefore hol
 ds paramount importance in human-autonomy teaming (HAT). With rapid advanc
 ements in large language models, autonomous teammates have increasing pote
 ntial to communicate and coord...\n\n\nWen Duan and Nan Weng (Clemson Univ
 ersity), Matthew Scalia and Ruihao Zhang (Arizona State University), Jessi
 ca Tuttle (University of Dayton Research Institute), Xiaoyun Yin and Shiwe
 n Zhou (Arizona State University), Guo Freeman (Clemson University), Jamie
  Gorman (Arizona State University), Gregory Funke and Michael Tolston (U.S
 . Air Force Research Laboratory), and Nathan McNeese (Clemson University)\
 n---------------------\n6. Exploring The Intersection of Sex and Race With
 in Transcranial Doppler Sonography: Implications for Future Neuroergonomic
  Research and Application\n\nTranscranial Doppler Sonography (TCD) employs
  ultrasound to measure cerebral blood flow velocity for medical diagnostic
 s and research. Unfortunately, certain groups experience disproportionatel
 y higher TCD failure rates than others, impacting their representation in 
 healthcare and research. To delve...\n\n\nChidera Azubike and Eric Greenle
 e (Texas Tech University)\n---------------------\n85. Using Wearable Senso
 rs and Deep Learning to Identify Origin and Destination of Lifts\n\nWork-r
 elated musculoskeletal disorders (WMSDs) represent a significant occupatio
 nal health concern, especially for workers engaged in lifting activities. 
 Accurately assessing the risk of injury due to lifting tasks is crucial fo
 r identifying and mitigating exposures. The Revised NIOSH Lifting Equati..
 .\n\n\nYishu Yan (University of California, Berkeley); Jesse Jacobs (Risk 
 Control Services, Liberty Mutual Insurance); Alan Barr (University of Cali
 fornia, San Francisco; University of California, Berkeley); Grace O'Connel
 l (University of California, Berkeley; University of California, San Franc
 isco); and Carisa Harris Adamson (University of California, San Francisco;
  University of California, Berkeley)\n---------------------\n32. Establish
 ing Human Observer Criterion for Artificial Social Intelligence Developmen
 t: ASIST Study 2 Saturn\n\nThis study is designed to (a) support the devel
 opment of agents that implement artificial social intelligence (ASI) for p
 redicting and inferring in a team search and rescue scenario in the Minecr
 aft world; (b) support research concerning ASI and theory of mind (ToM); (
 c) develop a sample of interven...\n\n\nLixiao Huang, Matt Willett, Mike G
 uo, Aaron Teo, Arya Chethikattil, Myke Cohen, and Nancy Cooke (Arizona Sta
 te University)\n---------------------\n90. Human Response Performance to V
 ibrotactile Alerts: A Scoping Review\n\nVibrotactile alerts have become ub
 iquitous and widely studied, which has contributed to fragmentation in how
  their designs and effects on response performance are studied. A scoping 
 review was performed to systematically analyze what has been reported abou
 t their design and effects on accuracy and r...\n\n\nJames Parkinson (Purd
 ue University)\n---------------------\n69. Using the IMPRINT Tool to Devel
 op a Simulated Manpower Model for Navy Vessel Acquisition\n\nThis study ai
 med to provide insight into the use of discrete event simulation models as
  a method to inform the Royal Norwegian Navy (RNoN) acquisition process fo
 r making manpower requirements decisions. Work/rest data were collected on
  a Norwegian Coast Guard vessel (9-day underway, 22 crewmembers)....\n\n\n
 Joergen Eriksen, Nita Shattuck, Panagiotis Matsangas, and Christopher McCl
 ernon (Naval Postgraduate School) and Frode Mjelde (Royal Norwegian Naval 
 Academy)\n---------------------\n29. Empirical Impacts of Independent and 
 Collaborative Training on Task Performance and Improvement in Human-AI Tea
 ms\n\nAs the integration of artificial intelligence (AI) and human-AI team
 s progressing, it is becoming increasingly apparent that humans need to be
  better trained to work with such a novel technology. However, little rese
 arch explores the design and impact of training in human-AI teams, often l
 eading to ...\n\n\nChristopher Flathmann (Clemson University), Beau G. Sch
 elble (TRACE Research Group), and Anna Galeano (Clemson University)\n-----
 ----------------\n102. An Analysis of Detectability of Vulnerable Road Use
 rs Using Fuzzy Signal Detection Theory\n\nIt is important that advanced dr
 iver assistance systems provide drivers with alarms at the time when the d
 river fails to detect vulnerable road users (VRUs). Therefore, it is neces
 sary to be investigated when VRUs can be detected by the drivers. In this 
 study, we employed the paradigm which develope...\n\n\nWentong Yang, Shota
  Matsubayashi, and Kazuhisa Miwa (Nagoya University) and Shinya Kitayama, 
 Manabu Otsuka, and Koji Hamada (Denso Corporation)\n---------------------\
 n111. Is it Better Now? Using Swift Trust and Priming to Determine How Upd
 ate Information Impacts Trust in Automation\n\nAutomated Driving Systems (
 ADSs) get updates to improve their functionality and introduce new UIs wit
 h automated systems. Often, the post-update info given to users is unclear
  or misleading, resulting in improper knowledge of the automation, and sub
 sequently miscalibrated trust. Swift trust principl...\n\n\nScott Mishler 
 (Old Dominion University) and Jing Chen (Rice University)\n---------------
 ------\n12. Context Contributes to Two-Factor Authentication Choices\n\nTw
 o-factor authentication (2FA) has continuously become a more commonly used
  method of security in work, finance, and personal accounts. By introducin
 g a second layer of verification, 2FA improves the security of user accoun
 ts beyond the regular password. Despite its benefits, the adoption of 2FA 
 ha...\n\n\nFabrizio Chavez, Alejandra Fernandez-Reyes, and Michael Byrne (
 Rice University)\n---------------------\n41. High-Fidelity Worker Motion S
 imulation With Generative AI\n\nThis research proposes a dual-phase AI-bas
 ed methodology to enhance worker motion simulation within industrial setti
 ngs by addressing the persistent challenges of accuracy and fidelity. Init
 ially, it utilizes Large Language Models (LLMs) to distill instructions th
 rough Prompt distillation, incorpora...\n\n\nNeel Macwan, Atharva Jitendra
  Hude, Hari Iyer, Heejin Jeong, and Shenghan Guo (Arizona State University
 )\n---------------------\n38. Game On: Pioneering Human-Machine Teaming Re
 search in Online Gaming Arenas\n\nOnline gaming environments offer potenti
 al benefits to HMT and other researchers for conducting experimentation wi
 th large samples. The objectives of incorporating online gaming environmen
 ts into HMT research are multifaceted:\n1. Boosting Participant Engagement
  and Retention.\n2. Simulating Complex T...\n\n\nZachary Klinefelter (Apti
 ma, Inc.)\n---------------------\n76. Field Assessment of Static Postures 
 and the Frequency of Trunk and Upper Arms Movements Among Construction Wor
 kers\n\nConstruction industries are sectors with the highest prevalence of
  musculoskeletal disorders. Construction work exposes workers to multiple 
 physical risk factors such as extreme postures, and repetitive motions. To
  minimize the impact of occupational hazards on the development of MSDs, o
 ne of the mo...\n\n\nMicaela Porta (University of Cagliari)\n-------------
 --------\n98. A Evaluation Tool for the Real-Time Motion Sickness in Drivi
 ng Environment\n\nMotion sickness is one of the most critical factors that
  affect driving quality. Among the major theories explaining the cause of 
 motion sickness, the Sensory Conflict Theory, which has been the foundatio
 n of numerous studies, suggests that motion sickness can occur when there 
 is a conflict between ...\n\n\nMyung Hwan Yun, Yein Song, Jiyeon Shin, Jun
 gyeon Park, Jaehoo Bae, and Cai Wang (Seoul National University) and Sangw
 oo Bahn (Kyung Hee University)\n---------------------\n53. You Knew What I
  Meant: Improving Robot-Human Communication of Hierarchical Task Planning 
 Through LLMs\n\nRecent advancements in large language models (LLMs), have 
 facilitated more naturalistic human-robot communication, enabling the gene
 ration of task plans for autonomous systems like robots based on high-leve
 l goals. Traditionally, communicating with robots has been cumbersome, how
 ever, our work focus...\n\n\nCourtney Tse (Brown University, Draper) and K
 elly Sprehn (Draper)\n---------------------\n89. Evaluating a Novel Measur
 e to Parse the Sources of Subjective Cognitive Workload: The Task, Environ
 ment, Aid Scale\n\nIn Remapping, a stimuli of one modality is changed to a
  different modality via Extended Reality technology. The purpose is to red
 uce cognitive workload associated with divided attention (Wickens, 2002). 
 To assess cognitive workload when developing cognition aids, the NASA Task
  Load Index (TLX) is co...\n\n\nFrank Lodge and Anne Collins McLaughlin (N
 orth Carolina State University)\n---------------------\n11. Robotic Arm Pe
 rception: an Eyetracking Study Exploring Causal Relations and Perceived Tr
 ust\n\nWith the increased integration of robots into industrial, service, 
 and educational spaces, it is imperative to understand factors that influe
 nce human-robot interactions. While the existing literature has explored h
 uman perception of robot-produced verbal communication, there is a notable
  gap in und...\n\n\nElizabeth Merwin, Jacqueline Hammack, and Teresa Wilco
 x (Florida Atlantic University)\n---------------------\n60. Uncertainty Di
 fferences in Computing Hierarchical Pedestrian Behaviors\n\nThe emergence 
 of autonomous driving technology promises a paradigm shift in urban dynami
 cs, yet predicting pedestrian behavior remains a critical challenge. This 
 study investigates the complexities of pedestrian behavior, focusing on tw
 o distinct types of uncertainties: aleatoric and epistemic, aimi...\n\n\nZ
 hengming Zhang (Purdue University) and Renran Tian (North Carolina State U
 niversity)\n---------------------\n45. Human-Cobot Collaboration in Manufa
 cturing Systems: Design for Productivity and Trust\n\nAs Industry 4.0 resh
 apes the manufacturing landscape, the integration of collaborative robots 
 (cobots) with human workers emerges as a pivotal innovation, enhancing agi
 lity and efficiency. This study delves into trust and productivity aspects
  of cobot integration in manufacturing settings, aiming to...\n\n\nNandhin
 i Manikandan (Texas A&M University)\n---------------------\n68. Return On 
 Investment Methods for Large-Scale Systems Interventions; Systems Thinking
 , How Much Does it Pay?\n\nHow much should a government, industry consorti
 a, or large organization spend on systems-thinking initiative packages tha
 t will yield: safety savings, productivity gains, wellbeing improvements -
  plus other unanticipated benefits and losses? This is a perennial problem
  for the human factors field. W...\n\n\nDan Nathan-Roberts (San Jose State
  University)\n---------------------\n112. Looking Back on Forward Collisio
 n Warnings: A Review of Perception Response Times From Empirical Studies\n
 \nAs a Level 0 assistance system (SAE International, 2021), FCW provides m
 omentary assistance to the driver in the form of auditory, visual, and/or 
 haptic warnings in order to provide information to the driver about a pote
 ntial forward hazard so that the driver may respond as necessary. Given th
 at dri...\n\n\nIiona Scully and Peter Shlanta (Exponent, Inc.)\n----------
 -----------\n35. Exploring ChatGPT Opinions on AI Empathy\n\nArtificial In
 telligence (AI) has the potential to develop social-cue learning with effe
 ctive data and training. It lacks the emotional capabilities to understand
 , interpret, and respond to human emotional states, but it is possible to 
 incorporate the elements of cognitive empathy within AI; to under...\n\n\n
 Lamia Alam (Johns Hopkins University)\n---------------------\n72. Computer
  Vision Embedded Post-Processing Algorithm on Lifting Risks\n\nThe primary
  objective of this research is to refine the application ergonomic assessm
 ent by integrating a computer vision algorithm, which outputs the position
 s of 17 body joint points. We propose a post-processing algorithm designed
  to calculate the NIOSH lifting index parameters (HM, VM, DM, AM, C...\n\n
 \nHaozhi Chen, Peiran Liu, and Denny Yu (Purdue University)\n-------------
 --------\n58. The Impact of Lifecycle Transparency on Human Autonomy Teami
 ng\n\nTrust is imperative for safe and effective human-automation relation
 ships, especially in complex systems. Transparency, which is the communica
 tion of the automation’s behavior and intent to the operator, can be used 
 to build trust in human-automation teams. The present study investigated t
 he i...\n\n\nMira Gruber (University of Central Florida)\n----------------
 -----\n59. U.S. Space Force Guardians on Multi-Agent Systems in Space: A T
 hematic Analysis of Interviews\n\nThe recent creation and development of t
 he United States Space Force (USSF) reflects a larger growing effort to ex
 pand exploration and operations in space in both the public and private se
 ctors. As humans migrate to space, they will most likely be supported by t
 eams of non-human agents, such as arti...\n\n\nLydia Melles and Elizabeth 
 Phillips (George Mason University)\n---------------------\n79. Investigati
 ng Manual Labor Workers’ Perceptions of Exoskeletons Using the Wearable Ro
 bot Perception (WeaR-P) Questionnaire\n\nIndustrial exoskeletons have the 
 potential to reduce injury risk, enhance productivity, and improve the qua
 lity of life among workers. Despite the expected benefits, there is limite
 d understanding of workers’ perceptions of this novel technology. This stu
 dy examined manual labor workers' multi...\n\n\nYves Valentin, Thi Le, and
  HeeSun Choi (Texas Tech University)\n---------------------\n3. Promoting 
 Physical Activity in Long-Term Care With Augmented Reality Experiences\n\n
 The CDC (2019) highlights regular physical activity as crucial for healthy
  aging, helping prevent or manage chronic diseases in adults over 50. Many
  older adults lack motivation to exercise, but exergaming, combining exerc
 ise and video games, can make it more enjoyable (Yim and Graham 2007). Ped
 alin...\n\n\nMark Chignell (University of Toronto); Debbie Barton (Centre 
 for Innovation and Research in Aging); Lisa Fannin (Centivizer Inc.); Just
 ine L. Estey (Centre for Innovation and Research in Aging); and Danica Mai
 llet, Caroline Lovens, and Jalila Jbilou (University of Moncton)\n--------
 -------------\n91. In ChatGPT We Trust: Foundations for an Empirically Det
 ermined Scale of Trust in Generative AI Chatbots\n\nTo this researcher's k
 nowledge, there exists no statistically validated scale for measuring trus
 t specifically in generative artificial intelligence (Ai) chatbots such as
  Google Bard or ChatGPT. The objective of this study will be to develop an
  empirically based scale for assessing trust in generati...\n\n\nDouglas J
 onidis (North Carolina State University)\n---------------------\n22. Teach
 ing ChatGPT: Attempting to Demonstrate the Protégé Effect With a Large Lan
 guage Model Learner\n\nIt is well known that teaching others can benefit t
 he teacher's understanding. This is commonly known as the "learning-by-tea
 ching" or "Protégé" effect. The effect is leveraged in systems such as the
  "see one, do one, teach one," approach, common to medical training. Howev
 er, its applicability is li...\n\n\nZachary Tidler (Georgia Institute of T
 echnology)\n---------------------\n107. Driver Training and Socioeconomic 
 Status: A Human-In-The-Loop Driving Simulator Evaluation\n\nPast research 
 showed RAPT training boosts latent hazard anticipation (LHA) performance i
 n young drivers. However, a recent study showed that drivers with a lower 
 socioeconomic status (SES) experienced lower crash rates when trained with
  RAPT, but it was not clear if RAPT improved LHA more effectivel...\n\n\nJ
 effrey Glassman (Old Dominion University)\n---------------------\n27. Cogn
 itive Workload Evaluation of Onsite Workers Collaborating With a Teleopera
 ted Robot in Assembly Tasks Using Heart-Rate\n\nIncorporating collaborativ
 e robots in modern industry has given rise to the synergistic collaboratio
 n between humans and robots. Working along with a teleoperated robot enabl
 es completion of tasks across geographical boundaries and has the potentia
 l to address the skills gap in manufacturing by enha...\n\n\nSakshi Taori 
 (Virginia Tech Polytechnic Institute and State University) and Sunwook Kim
  and Sol Lim (Virginia Polytechnic Institute and State University)\n------
 ---------------\n106. Contextual Differences and Attentiveness in Urban St
 reets\n\nThe Hancock Sustained Attention Model implies that the increased 
 movement variability observed in underload states should re-emerge in dema
 nding environments as the driver adapts to more intense informational dema
 nds. Individual differences research has used vehicle movement artifacts t
 o identify ag...\n\n\nPatricia Tice (ProFound Insights, Inc.) and Peter Ha
 ncock and Sudipata dey Tirtha (University of Central Florida)\n-----------
 ----------\n51. Preliminary Investigation of Communication Types and Strat
 egies in Hat in Dynamic Dual-Task Situation\n\nThis study investigated nat
 ural communication strategies employed by humans in dynamic dual-task situ
 ations involving human-AI teams (HATs), and examined the effects of these 
 strategies on task performance, situation awareness (SA), and trust levels
 . Ten pairs of participants with relevant backgroun...\n\n\nSang-Hwan Kim 
 (University of Michigan-Dearborn) and Seungju Choi, Dasol Han, and Yejin L
 ee (University of Michigan, Dearborn)\n---------------------\n75. Exoskele
 ton Use During Lifting Tasks May Impair Physical and Cognitive Performance
 s Among Novice Users\n\nExoskeleton use may deteriorate the user’s perform
 ance on physical and cognitive tasks due to additional task demands, obstr
 ucted movement, and increased mental workload. This study examined if usin
 g unpowered exoskeletons during lifting tasks led to declines in performan
 ce on the visual atten...\n\n\nDaniel Leibman and HeeSun Choi (Texas Tech 
 University)\n---------------------\n103. Angry Drivers, Please Calm Down: 
 Regulating Driver Emotions to Enhance Driving Safety\n\nElevated emotions,
  such as anger and rage, adversely influence a driver’s propensity for ris
 ky driving behaviors, contributing to more than 1/2 the motor vehicle fata
 lities in the United States. In simulated driving, we assessed the effecti
 veness of 3 emotion regulation interventions engaging ...\n\n\nSaya Susind
 ar and Thomas Ferris (Texas A&M University)\n---------------------\n109. E
 ffects of Automation Exposure and Non-Driving Related Tasks on Manual Driv
 ing Performance After Takeover of Manual Control\n\nProlonged exposure to 
 an automated driving system (ADS) can lead drivers to acclimate to the ADS
  in maladaptive ways. For example, exposure to a conditional ADS that main
 tained a time headway of .3 seconds resulted in drivers adopting smaller t
 ime headways post-automation, which is attributed to beh...\n\n\nLeGrand D
 udley and Patricia DeLucia (Rice University)\n---------------------\n116. 
 Use of Remote Focus Groups to Improve Inclusive Design Practice\n\nUnderst
 anding the design needs and preferences of individuals with disabilities i
 s crucial for creating inclusive environments and products. This study use
 d remote focus groups of wheeled mobility device (WMD) users to gather ins
 ights into shared autonomous vehicle (SAV) system preferences. The aim ...
 \n\n\nElham Entezarizarch, Victor Paquet, and Jordana Maisel (University a
 t Buffalo)\n---------------------\n43. How Robots Might Trust Humans in Mi
 xed Motive Situations\n\nIdeally, team members ought to work towards goals
  that benefit the team. There are situations in which individual goals bec
 ome significant, e.g., the individual might need to respond to threat.  Th
 is choice (of individual rather than team goals) could affect the ‘trust’ 
 that other team m...\n\n\nChristopher Baber and Sagir Yusuf (University of
  Birmingham) and Edmund Hunt, Mehdi Sobhani, and Sanja Milivojevic (Bristo
 l University)\n---------------------\n7. Measuring User Response to Attent
 ion Guidance Using the Integrated Cognitive User Assistance System\n\nHuma
 ns are limited in their attentional capacity and miss salient cues when mu
 ltitasking. We built an interface, ICU (Integrated Cognitive User assistan
 ce), that simulates parts of MATBII, a computer-based multitasking testbed
 , adding gaze based attention guidance in an attempt to improve multitaski
 ...\n\n\nBenedict Wilkins and Szonya Durant (Royal Holloway, University of
  London); Elizabeth Fox (U.S. Air Force Research Laboratory); and Kostas S
 tathis (Royal Holloway, University of London)\n---------------------\n100.
  A Survey on Perceptions of Smartwatch Haptic Feedback for Enhancing Autom
 ated Vehicle Takeover Decisions\n\nThe imperfections in the driving automa
 tion system have challenged older adults because the takeover process is c
 ognitively and physically demanding. Due to the wrist being more vibration
 -sensitive, the haptic display on the smartwatch could be a good option to
  warn the driver. However, the preferen...\n\n\nWei-Hsiang Lo and Gaojian 
 Huang (San Jose State University)\n---------------------\n66. Preliminary 
 Findings on the Impact of Workload on Cardiopulmonary Resuscitation Qualit
 y for Pediatric Patients With Real-Time Feedback\n\nCardiac arrest is a cr
 itical health issue for pediatric patients in the United States, where car
 diopulmonary resuscitation (CPR) is routinely administered to improve surv
 ival chances. Delivering high-quality CPR to pediatric patients is notably
  challenging due to their anatomical differences compare...\n\n\nTochi Ora
 masionwu (University of Toronto)\n---------------------\n118. Human Factor
 s and Sustainability: The New Sustainability Technical Group Welcomes Coll
 aborations\n\nThis poster showcases ways the HFES Sustainability TG and he
 r members do or could support Sustainability, including ways we specifical
 ly further the attainment of many UN SDGs. \n\nSustainability is crucial f
 or the survival of human society.  In 2015 the UN identified 17 Sustainabl
 e Development Goals ...\n\n\nDaniel Gottesman (Self, STG) and Amrita Magui
 re (Dell Technologies)\n\nTrack: Aging, Augmented Cognition, Children's Is
 sues, Communications, Cybersecurity, Education, Environmental Design, Gene
 ral Sessions, Human AI Robot Teaming (AI), Macroergonomics, Occupational E
 rgonomics, Student Forum, Surface Transportation, Sustainability, System D
 evelopment
END:VEVENT
END:VCALENDAR