Self-driving vehicles are the latest innovation in improving personal mobility and road safety by removing arguably error-prone humans from driving-related tasks. Such advances can prove especially beneficial for people who are blind or have low vision who cannot legally operate conventional motor vehicles. Missing from the related literature, we argue, are studies that describe strategies for vehicle design for these persons. We present a case study of the participatory design of a prototype for a self-driving vehicle human-machine interface (HMI) for a graduate-level course on inclusive design and accessible technology. We reflect on the process of working alongside a co-designer, a person with a visual disability, to identify user needs, define design ideas, and produce a low-fidelity prototype for the HMI. This paper may benefit researchers interested in using a similar approach for designing accessible autonomous vehicle technology. INTRODUCTION The rise of autonomous vehicles (AVs) may prove to be one of the most significant innovations in personal mobility of the past century. Advances in automated vehicle technology and advanced driver assistance systems (ADAS) specifically, may have a significant impact on road safety and a reduction in vehicle accidents (Brinkley et al., 2017; Dearen, 2018). According to the Department of Transportationmore »
Guidance for Best Practices in Participatory Design Involving People with Visual Impairment
Today, a great number of people with visual impairment take advantage of mainstream technology via assistive technology. User involvement in the systems development life cycle contributes to addressing user needs accurately. This article presents practical strategies to facilitate participatory design approaches involving users with visual impairment. Both researchers and professional designers will benefit these practical strategies by using them as action checklists for preparing, conducting, and concluding a participatory design session ethically and responsibly.
- Award ID(s):
- 1831969
- Publication Date:
- NSF-PAR ID:
- 10356199
- Journal Name:
- Ergonomics in Design: The Quarterly of Human Factors Applications
- Page Range or eLocation-ID:
- 106480462110582
- ISSN:
- 1064-8046
- Sponsoring Org:
- National Science Foundation
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