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

doi:10.1007/978-3-319-60441-1_33

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

Department of Psychology

Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding

13 Citations (SciVal)

215 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 language	English
Title of host publication	Advances in Intelligent Systems and Computing
Editors	N. Stanton
Publisher	Springer International Publishing
Pages	325-334
Number of pages	10
Volume	597
ISBN (Electronic)	978-3-319-60441-1
ISBN (Print)	978-3-319-60440-4
DOIs	https://doi.org/10.1007/978-3-319-60441-1_33
Publication status	E-pub ahead of print - 24 Jun 2017

Publication series

Name	Advances in Intelligent Systems and Computing
Publisher	Springer
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Keywords

Connected autonomous vehicle
Human machine interface
Older adults
Design

Access to Document

10.1007/978-3-319-60441-1_33

Morgan et al., 2017.PDF
This is a post-peer-review, pre-copyedit version of an article published in AFHE 2017: Advances in Human Aspects of Transportation. The final authenticated version is available online at: https://doi.org/10.1007/978-3-319-60441-1_33
Accepted author manuscript, 333 KB

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. Advance online publication. https://doi.org/10.1007/978-3-319-60441-1_33

An Emerging Framework to Inform Effective Design of Human-Machine Interfaces for Older Adults Using Connected Autonomous Vehicles. / Morgan, Phil; Voinescu, Alexandra; Williams, Craig et al.
Advances in Intelligent Systems and Computing. ed. / N. Stanton. Vol. 597 Springer International Publishing, 2017. p. 325-334 (Advances in Intelligent Systems and Computing).

Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding

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, Advances in Intelligent Systems and Computing, Springer International Publishing, pp. 325-334. https://doi.org/10.1007/978-3-319-60441-1_33

Morgan P, Voinescu A, Williams C, Caleb-Solly P, Alford C, Shergold I et al. An Emerging Framework to Inform Effective Design of Human-Machine Interfaces for Older Adults Using Connected Autonomous Vehicles. In Stanton N, editor, Advances in Intelligent Systems and Computing. Vol. 597. Springer International Publishing. 2017. p. 325-334. (Advances in Intelligent Systems and Computing). Epub 2017 Jun 24. doi: 10.1007/978-3-319-60441-1_33

Morgan, Phil ; Voinescu, Alexandra ; Williams, Craig et al. / An Emerging Framework to Inform Effective Design of Human-Machine Interfaces for Older Adults Using Connected Autonomous Vehicles. Advances in Intelligent Systems and Computing. editor / N. Stanton. Vol. 597 Springer International Publishing, 2017. pp. 325-334 (Advances in Intelligent Systems and Computing).

@inproceedings{c7441e26d8b44897ad4bcbec4580b16d,

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

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.",

keywords = "Connected autonomous vehicle, Human machine interface, Older adults, Design",

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

year = "2017",

month = jun,

day = "24",

doi = "10.1007/978-3-319-60441-1_33",

language = "English",

isbn = "978-3-319-60440-4",

volume = "597",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer International Publishing",

pages = "325--334",

editor = "N. Stanton",

booktitle = "Advances in Intelligent Systems and Computing",

address = "Switzerland",

}

TY - GEN

T1 - An Emerging Framework to Inform Effective Design of Human-Machine Interfaces for Older Adults Using Connected Autonomous Vehicles

AU - Morgan, Phil

AU - Voinescu, Alexandra

AU - Williams, Craig

AU - Caleb-Solly, Praminda

AU - Alford, Chris

AU - Shergold, Ian

AU - Parkhurst, Graham

AU - Pipe, Anthony

PY - 2017/6/24

Y1 - 2017/6/24

N2 - 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.

AB - 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.

KW - Connected autonomous vehicle

KW - Human machine interface

KW - Older adults

KW - Design

UR - https://link.springer.com/chapter/10.1007/978-3-319-60441-1_33#citeas

U2 - 10.1007/978-3-319-60441-1_33

DO - 10.1007/978-3-319-60441-1_33

M3 - Chapter in a published conference proceeding

SN - 978-3-319-60440-4

VL - 597

T3 - Advances in Intelligent Systems and Computing

SP - 325

EP - 334

BT - Advances in Intelligent Systems and Computing

A2 - Stanton, N.

PB - Springer International Publishing

ER -

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

Abstract

Publication series

Keywords

Access to Document

Other files and links

Fingerprint

Cite this