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The utility of psychological measures in evaluating perceived usability of automated vehicle interfaces – A study with older adults

Voinescu, Alexandra; Morgan, Phillip L.; Alford, Chris; Caleb-Solly, Praminda

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Authors

Alexandra Voinescu

Phillip L. Morgan

Praminda Caleb-Solly



Contributors

Alexandra Voinescu
Researcher

Philip Morgan
Researcher

Praminda Caleb-Solly
Researcher

Abstract

© 2020 Elsevier Ltd The design of the traditional vehicle human-machine interfaces (HMIs) is undergoing major change as we move towards fully connected and automated vehicles (CAVs). Given the diversity of user requirements and preferences, it is vital for designers to gain a deeper understanding of any underlying factors that could impact usability. The current study employs a range of carefully selected psychological measures to investigate the relationship with self-report usability of an in-CAV HMI integrated into a fully automated Level 5 simulator, during simulated journeys. Twenty-five older adults (65-years+) participated and were exposed to four journeys in a virtual reality fully automated CAV simulator (with video recorded journeys) into which our HMI was integrated. Participants completed a range of scales and questionnaires, as well as computerized cognitive tests. Key measures were: perceived usability of the HMI, cognitive performance, personality, attitudes towards computers, trust in technology, simulator sickness, presence and emotion. HMI perceived usability correlated positively with cognitive performance (e.g., working memory) and some individual characteristics such as trust in technology and negatively with neuroticism anxiety. Simulator sickness was associated negatively with CAV HMI perceived usability. Positive emotions correlated positively with reported usability across all four journeys, while negative emotions were negatively associated with usability only in the case of the last two journeys. Increased sense of presence in the virtual CAV simulator was not associated with usability. Implications for design are critically discussed. Our research is highly relevant in the design of high-fully automated vehicle HMIs, particularly for older adults, and in informing policy-makers and automated mobility providers of how to improve older people's uptake of this technology.

Citation

Voinescu, A., Morgan, P. L., Alford, C., & Caleb-Solly, P. (2020). The utility of psychological measures in evaluating perceived usability of automated vehicle interfaces – A study with older adults. Transportation Research Part F: Traffic Psychology and Behaviour, 72, 244-263. https://doi.org/10.1016/j.trf.2020.05.003

Journal Article Type Article
Acceptance Date May 9, 2020
Online Publication Date Jun 30, 2020
Publication Date Jul 1, 2020
Deposit Date Apr 18, 2021
Publicly Available Date Jul 1, 2021
Journal Transportation Research Part F: Traffic Psychology and Behaviour
Print ISSN 1369-8478
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 72
Pages 244-263
DOI https://doi.org/10.1016/j.trf.2020.05.003
Keywords Usability, Connected autonomous vehicles, Fully automated driverless cars, Human machine interface, Older adults, Individual differences
Public URL https://uwe-repository.worktribe.com/output/6913051

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