Co-Designing Interactions between Pedestrians in Wheelchairs and Autonomous Vehicles

Asha, Ashratuz Zavin; Smith, Christopher; Freeman, Georgina; Crump, Sean; Somanath, Sowmya; Oehlberg, Lora; Sharlin, Ehud

doi:10.1145/3461778.3462068

Cited by 20 publications

(1 citation statement)

References 31 publications

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“…Wheelchairs, as vital empowering tools, also represent a continual visible sign of disability, attracting unwanted attention and potentially leading to social stigma [52]. Wheelchair users, sensitive to this, often prefer visual over auditory communication in their daily interactions to avoid such issues [53]. As a vulnerable group, wheelchair users require enhanced driving support and comfortable, engaging external interactions for a valued and self-acknowledged image in society.…”

Section: The Sociology Of Wheelchair Ehmi and The Image Of Wheelchair...mentioning

confidence: 99%

Shared eHMI: Bridging Human–Machine Understanding in Autonomous Wheelchair Navigation

Zhang,

Song,

Huang

et al. 2024

Applied Sciences

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As automated driving system (ADS) technology is adopted in wheelchairs, clarity on the vehicle’s imminent path becomes essential for both users and pedestrians. For users, understanding the imminent path helps mitigate anxiety and facilitates real-time adjustments. For pedestrians, this insight aids in predicting their next move when near the wheelchair. This study introduces an on-ground projection-based shared eHMI approach for autonomous wheelchairs. By visualizing imminent motion intentions on the ground by integrating real and virtual elements, the approach quickly clarifies wheelchair behaviors for all parties, promoting proactive measures to reduce collision risks and ensure smooth wheelchair driving. To explore the practical application of the shared eHMI, a user interface was designed and incorporated into an autonomous wheelchair simulation platform. An observation-based pilot study was conducted with both experienced wheelchair users and pedestrians using structured questionnaires to assess the usability, user experience, and social acceptance of this interaction. The results indicate that the proposed shared eHMI offers clearer motion intentions display and appeal, emphasizing its potential contribution to the field. Future work should focus on improving visibility, practicality, safety, and trust in autonomous wheelchair interactions.

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Section: The Sociology Of Wheelchair Ehmi and The Image Of Wheelchair...mentioning

confidence: 99%

Shared eHMI: Bridging Human–Machine Understanding in Autonomous Wheelchair Navigation

Zhang,

Song,

Huang

et al. 2024

Applied Sciences

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A New Approach for Accessibility Assessment of Sidewalks for Wheelchair Users Considering the Sidewalk Traffic

Jahromi

Samany‬

Mostafavi

et al. 2023

Lecture Notes in Computer Science

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Are the External Human-Machine Interfaces (eHMI) Accessible for People with Disabilities? A Systematic Review

Enam,

Bastola,

Brinkley

2024

2024 IEEE 4th International Conference on Human-Machine Systems (ICHMS)

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Co-Designing Interactions between Pedestrians in Wheelchairs and Autonomous Vehicles

Cited by 20 publications

References 31 publications

Shared eHMI: Bridging Human–Machine Understanding in Autonomous Wheelchair Navigation

Shared eHMI: Bridging Human–Machine Understanding in Autonomous Wheelchair Navigation

A New Approach for Accessibility Assessment of Sidewalks for Wheelchair Users Considering the Sidewalk Traffic

Are the External Human-Machine Interfaces (eHMI) Accessible for People with Disabilities? A Systematic Review

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