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PRODID:Linklings LLC
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TZID:America/Phoenix
X-LIC-LOCATION:America/Phoenix
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TZOFFSETFROM:-0700
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TZNAME:MST
DTSTART:19700101T000000
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BEGIN:VEVENT
DTSTAMP:20241014T203102Z
LOCATION:McArthur Ballroom
DTSTART;TZID=America/Phoenix:20240912T173000
DTEND;TZID=America/Phoenix:20240912T183000
UID:HFESAM_ASPIRE - Presented by HFES_sess108_POS294@linklings.com
SUMMARY:104. Assessing Meaningful Visual and Tactile Feedback for Effectiv
 e Automated Vehicle Takeover by Hearing and Non-Hearing Drivers
DESCRIPTION:Poster\n\nAries Chu, Wei-Hsiang Lo, and Gaojian Huang (San Jos
 e State University)\n\nWith SAE Level 3 automated vehicles handling most d
 riving tasks, there are still situations when the driver needs to take ove
 r. Multimodal displays have been introduced to inform drivers of the need 
 to take over for critical scenarios (e.g., in construction zones) in instr
 uctional or informational formats. However, the effects of multimodal disp
 lays on takeover performance for drivers with hearing impairments are stil
 l unclear. Therefore, the goal of this study was to investigate how signal
  type (single-modal vs. multimodal), informational type (instructional vs.
  informational), and hearing impairment (hearing-impaired and non-hearing-
 impaired drivers) affect drivers’ takeover performance. Findings show sign
 al type significantly influenced takeover and response times, with multimo
 dal signals having faster reactions. Additionally, the instructional infor
 mation type had a marginally longer takeover time than informational type.
  Hearing, however, did not affect takeover and response times. Findings ma
 y inform the development of future vehicles to assist drivers with hearing
  impairments.\n\nTrack: Aging, Augmented Cognition, Children's Issues, Com
 munications, Cybersecurity, Education, Environmental Design, General Sessi
 ons, Human AI Robot Teaming (AI), Macroergonomics, Occupational Ergonomics
 , Student Forum, Surface Transportation, Sustainability, System Developmen
 t
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