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PRODID:Linklings LLC
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TZID:America/Phoenix
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DTSTART:19700101T000000
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BEGIN:VEVENT
DTSTAMP:20241014T203102Z
LOCATION:FLW Salon D
DTSTART;TZID=America/Phoenix:20240912T150000
DTEND;TZID=America/Phoenix:20240912T151000
UID:HFESAM_ASPIRE - Presented by HFES_sess119_LBR108@linklings.com
SUMMARY:Agree or Disagree: The Role of Agreeableness in Decision-Making wi
 th Multi-Robot Teams
DESCRIPTION:Late Breaking Results\n\nJennifer J Mitchell, Madison Harmon, 
 and Myounghoon Jeon (Virginia Polytechnic Institute and State University)\
 n\nWith the increase of human-robot collaboration, understanding its dynam
 ics becomes crucial for improving teamwork. This study examines how robot 
 agreeableness and presence of multiple robots influence users’ decision-ma
 king and perceptions using the Desert Survival Situation task. Forty adult
 s participated in a mixed-design study, where the number of robots was a w
 ithin-subjects variable, and robot agreeableness was a between-subjects va
 riable. Participants selected survival items for a desert environment, wit
 h robots supporting or challenging their decisions. In Phase A, participan
 ts interacted with a single robot with 50% agreement. In Phase B, particip
 ants interacted with one more robot in addition to the same robot with 50%
  agreement, where participants were divided into two groups: one group int
 eracted with a highly agreeable second robot (80% agreement), while the ot
 her group interacted with a highly disagreeable second robot (20% agreemen
 t). The two phases were counterbalanced. Results showed that participants 
 were more likely to change their decisions when interacting with a team th
 at included a disagreeable robot. However, participants perceived the team
  with an agreeable robot as having higher human-robot fluency and a better
  understanding of the team’s goals. Regardless of robot agreeableness, par
 ticipants preferred two robots, with 11 participants highlighting the bene
 fit of additional perspectives for better decision-making. The number of r
 obots did not influence decision changes. These findings emphasize the imp
 ortance of balancing robot agreeableness and leveraging team-based interac
 tions in human-robot collaboration because using multiple robots inherentl
 y improves the collaborative experience, and the agreeableness of these ro
 bots significantly affects decision outcomes and team fluency.\n\nSession 
 Chair: Duha Alkurdi (University of Michigan, Dearborn)
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