2021/06/30 by Yuri Klebanov, Romi Mikulinsky, Klebanov, Yuri +12
Computer Science · Engineering · Psychology · #Autonomous Vehicle Technology and Safety #FOS: Computer and information sciences #Human-Automation Interaction and Safety #Human-Computer Interaction (cs.HC) #Traffic and Road Safety #cs.HC
paper · pdf · doi:10.48550/arxiv.2106.16106
4 pages, 5 figures, IV 2021 Nagoya, Trust Calibration Workshop
arxiv created 2021/06/30 · openalex publication_date 2021/06/30 · arxiv updated 2021/07/01 · openalex created_date 2021/07/05 · openalex updated_date 2026/07/28
Trust is a multilayered concept with critical relevance when it comes to introducing new technologies. Understanding how humans will interact with complex vehicle systems and preparing for the functional, societal and psychological aspects of autonomous vehicles' entry into our cities is a pressing concern. Design tools can help calibrate the adequate and affordable level of trust needed for a safe and positive experience. This study focuses on passenger interactions capable of enhancing the system trustworthiness and data accuracy in future shared public transportation.