Encouraging self-awareness among elderly drivers while driving with a passenger has the potential to reduce traffic accidents. Highly anthropomorphic Robotic-Human-Machine-Interfaces (RHMIs) have been shown to be effective in providing safe driving and review support by being perceived as fellow passengers. However, it remains unclear which specific anthropomorphic elements in the RHMI’s appearance are necessary to achieve this effect. Identifying these essential elements for elderly driving could lead to a minimal design approach and reduced installation costs in car dashboards. Therefore, in this study, we investigated the effects of RHMI embodiment and anthropomorphism level on drivers’ acceptability and user experience quality through a series of RHMI prototypes by conducting a crowdsource video experiment and a driving simulator experiment, respectively. The findings provide insights into the design of a low-cost, minimal, and efficient RHMI as a driving agent.
Robotic-Human-Machine-Interface for Elderly Driving: Balancing Embodiment and Anthropomorphism for Improved Acceptance
Lect.Notes Computer
International Conference on Social Robotics ; 2023 ; Doha, Qatar December 03, 2023 - December 07, 2023
2023-12-03
14 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
RHMI , Elderly Drivers , Anthropomorphism , Embodiment , User Experience Computer Science , Artificial Intelligence , Computer Applications , User Interfaces and Human Computer Interaction , Computer Communication Networks , Special Purpose and Application-Based Systems , Image Processing and Computer Vision
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Springer Verlag | 2018
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