TY - GEN
T1 - Design Techniques for Exploring Inclusive Automotive Interaction Design in the Age of Vehicular Automation
AU - Brinkley, Julian
AU - Huff, Earl W.
AU - Gluck, Aaron
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - With the emergence of self-driving vehicles, automotive interaction design is undergoing a seismic shift. Previously, vehicle interactions have been designed around the needs of the driver, who has been assumed to be sighted, while with the rise of automation, emerging automotive technologies will need to be designed around the future operator, who may be visually impaired or have other disabilities. This changing paradigm demands new thinking around the design of automotive user experiences. Within this paper, we survey automotive interaction design techniques by exploring our research. We describe how user enactments, focus groups, participatory design, and quasi-naturalistic studies are promising approaches in the development of emerging self-driving vehicles designed with the new, potentially disabled operator in mind. We then describe 12 best practices for their use. We believe a discussion of our experiences may benefit designers interested in more inclusive automotive interaction design.
AB - With the emergence of self-driving vehicles, automotive interaction design is undergoing a seismic shift. Previously, vehicle interactions have been designed around the needs of the driver, who has been assumed to be sighted, while with the rise of automation, emerging automotive technologies will need to be designed around the future operator, who may be visually impaired or have other disabilities. This changing paradigm demands new thinking around the design of automotive user experiences. Within this paper, we survey automotive interaction design techniques by exploring our research. We describe how user enactments, focus groups, participatory design, and quasi-naturalistic studies are promising approaches in the development of emerging self-driving vehicles designed with the new, potentially disabled operator in mind. We then describe 12 best practices for their use. We believe a discussion of our experiences may benefit designers interested in more inclusive automotive interaction design.
KW - Autonomous vehicles
KW - blind
KW - design methods
KW - self-driving vehicles
KW - vehicle interaction
UR - http://www.scopus.com/inward/record.url?scp=85146293410&partnerID=8YFLogxK
U2 - 10.1109/ICHMS56717.2022.9980641
DO - 10.1109/ICHMS56717.2022.9980641
M3 - Conference contribution
AN - SCOPUS:85146293410
T3 - Proceedings of the 2022 IEEE International Conference on Human-Machine Systems, ICHMS 2022
BT - Proceedings of the 2022 IEEE International Conference on Human-Machine Systems, ICHMS 2022
A2 - Kaber, David
A2 - Guerrieri, Antonio
A2 - Fortino, Giancarlo
A2 - Nurnberger, Andreas
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 3rd IEEE International Conference on Human-Machine Systems, ICHMS 2022
Y2 - 17 November 2022 through 19 November 2022
ER -