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

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Advances in Human Aspects of Transportation (AHFE 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 597))

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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.

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Acknowledgments

The reported research forms part of an Innovate UK research project - FLOURISH: Empowerment through Trusted Secure Mobility (2016–2019). See http://flourishmobility.com/. We thank Tracey Poole (Atkins UK) for reading an earlier draft of this paper.

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Authors and Affiliations

  1. University of the West of England – Bristol, Frenchay Campus, Coldharbour Lane, Bristol, S16 1QY, UK

    Phillip L. Morgan, Alexandra Voinescu, Craig Williams, Praminda Caleb-Solly, Chris Alford, Ian Shergold, Graham Parkhurst & Anthony Pipe

  2. Psychological Sciences Research Group, University of the West of England – Bristol, Frenchay Campus, Coldharbour Lane, Bristol, BS16 1QY, UK

    Phillip L. Morgan, Alexandra Voinescu & Chris Alford

  3. Centre for Health and Clinical Research, University of the West of England – Bristol, Frenchay Campus, Coldharbour Lane, Bristol, BS16 1QY, UK

    Craig Williams

  4. Bristol Robotics Laboratory, University of the West of England – Bristol, Frenchay Campus, Coldharbour Lane, Bristol, BS16 1QY, UK

    Praminda Caleb-Solly & Anthony Pipe

  5. Centre for Transport and Society, University of the West of England – Bristol, Frenchay Campus, Coldharbour Lane, Bristol, BS16 1QY, UK

    Ian Shergold & Graham Parkhurst

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  1. Phillip L. Morgan
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Correspondence to Phillip L. Morgan .

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  1. Human Factors Engineering, Transportation Research Group, Boldrewood Innovation Campus, University of Southampton, Southampton, United Kingdom

    Neville A Stanton

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Morgan, P.L. et al. (2018). An Emerging Framework to Inform Effective Design of Human-Machine Interfaces for Older Adults Using Connected Autonomous Vehicles. In: Stanton, N. (eds) Advances in Human Aspects of Transportation. AHFE 2017. Advances in Intelligent Systems and Computing, vol 597. Springer, Cham. https://doi.org/10.1007/978-3-319-60441-1_33

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  • DOI: https://doi.org/10.1007/978-3-319-60441-1_33

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