An inclusive design perspective on automotive HMI trends

None, None; None, None; None, None

An inclusive design perspective on automotive HMI trends

Conference Paper (2016)

Author(s)

Mike Bradley (University of Cambridge)

Patrick M. Langdon (University of Cambridge)

P. John Clarkson (University of Cambridge)

Affiliation

External organisation

Usability Autonomous driving ADAS HMI Automotive Inclusive design Exclusion audit Older user

DOI related publication

https://doi.org/10.1007/978-3-319-40238-3_52 Final published version

To reference this document use

https://resolver.tudelft.nl/uuid:bcbd7014-0cbd-464a-8c9c-97589beeb2b1

More Info

expand_more

Publication Year

2016

Language

English

Affiliation

External organisation

Pages (from-to)

548-555

Publisher

Springer

ISBN (print)

9783319402376

Event

10th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2016 and Held as Part of 18th International Conference on Human-Computer Interaction, HCI International 2016 (2016-07-17 - 2016-07-22), Toronto, Canada

Downloads counter

191

Abstract

This paper looks at recent trends in automotive human machine interfaces, with a lens of evaluation from an inclusive design perspective. The goal of Inclusive Design is to ensure that the population of potential users for a product or service is maximised. Until relatively recently, automotive human machine interfaces (HMI’s) have excluded and caused difficulties for users due to visibility, reach and force required to operate controls. Over the last 15 or so years however, there has been a significant increase in control and display location, interface types and integration of functions, as well as dramatically increased potential functionality due to in-vehicle emergent technologies. It is suggested that this increase in interface unfamiliarity for a driver will cause significant difficulty and potential exclusion, due to the demands of learning and conflicts in expectation. The effects on this trend in the context of an ageing population and automated driving technologies are discussed.