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Investigating older adults’ preferences for functions within a human-machine interface designed for fully autonomous vehicles

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


Alexandra Voinescu

Phillip L. Morgan

Praminda Caleb-Solly


Jia Zhou

Gavriel Salvendy


© Springer International Publishing AG, part of Springer Nature 2018. Compared to traditional cars, where the driver has most of their attention allocated on the road and on driving tasks, in fully autonomous vehicles it is likely that the user would not need to intervene with driving related functions meaning that there will be little need for HMIs to have features and functionality relating to these factors. However, there will be an opportunity for a range of other interactions with the user. As such, designers and researchers need to have an understanding of what is actually needed or expected and how to balance the type of functionality they make available. Also, in HMI design, the design principles need to be considered in relation to a range of user characteristics, such as age, and sensory, cognitive and physical ability and other impairments. In this study, we proposed an HMI specially designed for connected autonomous vehicles with a focus on older adults. We examined older adults’ preferences of CAV HMI functions, and, the degree to which individual differences (e.g., personality, attitude towards computers, trust in technology, cognitive functioning) correlate with preferences for these functions. Thirty-one participants (M age = 67.52, SD = 7.29), took part in the study. They had to interact with the HMI and rate its functions based on the importance and likelihood of using them. Results suggest that participants prefer adaptive HMIs, with journey planner capabilities. As expected, as it is a CAV HMI, the Information and Entertainment functions are also preferred. Individual differences have limited relationship with HMI preferences.


Voinescu, A., Morgan, P. L., Alford, C., & Caleb-Solly, P. (2018). Investigating older adults’ preferences for functions within a human-machine interface designed for fully autonomous vehicles. Lecture Notes in Artificial Intelligence, 10927 LNCS, 445-462.

Journal Article Type Conference Paper
Acceptance Date Nov 27, 2017
Publication Date Jan 1, 2018
Deposit Date Nov 1, 2018
Publicly Available Date Jan 2, 2019
Journal Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Print ISSN 0302-9743
Electronic ISSN 1611-3349
Publisher Springer Verlag
Peer Reviewed Peer Reviewed
Volume 10927 LNCS
Pages 445-462
Series Title Lecture Notes in Computer Science
Book Title Human Aspects of IT for the Aged Population. Applications in Health, Assistance, and Entertainment
Keywords connected autonomous vehicles, human machine interface, older adults
Public URL
Publisher URL


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