An Emerging Framework to Inform Effective Design of Human-Machine Interfaces for Older Adults Using Connected Autonomous Vehicles

Phil Morgan, Alexandra Voinescu, Craig Williams, Praminda Caleb-Solly, Chris Alford, Ian Shergold, Graham Parkhurst, Anthony Pipe

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)
76 Downloads (Pure)

Abstract

Connected autonomous vehicles (CAVs) represent an exciting opportunity for wider access to mobility; especially for individuals unable to drive manual vehicles. Interaction with CAVs will be through human-machine interfaces (HMIs) providing journey-related and other information with some interactivity. These should be designed with potential users as part of a co-design process to maximize acceptance, engagement, and trust. This paper presents an emerging framework to inform the design of in-vehicle CAV HMIs with a focus on older adults (70-years+). These could be amongst early adopters of CAVs and tend to have the highest level of cognitive, sensory, and physical impairments. Whilst there are numerous principles on HMI design for older adults there are fewer on HMIs for AVs, and a need for research on CAV HMI design principles for older adults. Our emerging framework is novel and important for designers of CAV HMIs for older adults and other potential users.
Original languageEnglish
Title of host publicationAdvances in Intelligent Systems and Computing
EditorsN. Stanton
PublisherSpringer International Publishing
Pages325-334
Number of pages10
Volume597
ISBN (Electronic)978-3-319-60441-1
ISBN (Print)978-3-319-60440-4
DOIs
Publication statusE-pub ahead of print - 24 Jun 2017

Publication series

NameAdvances in Intelligent Systems and Computing
PublisherSpringer
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Keywords

  • Connected autonomous vehicle
  • Human machine interface
  • Older adults
  • Design

Cite this

Morgan, P., Voinescu, A., Williams, C., Caleb-Solly, P., Alford, C., Shergold, I., Parkhurst, G., & Pipe, A. (2017). An Emerging Framework to Inform Effective Design of Human-Machine Interfaces for Older Adults Using Connected Autonomous Vehicles. In N. Stanton (Ed.), Advances in Intelligent Systems and Computing (Vol. 597, pp. 325-334). (Advances in Intelligent Systems and Computing). Springer International Publishing. https://doi.org/10.1007/978-3-319-60441-1_33