In-vehicle displays for driving automation: a scoping review of display design and evaluation using driver gaze measures

Dina Kanaan, Mattea Powell, Michael Lu and Birsen Donmez

Transport Reviews, 2024, vol. 44, issue 4, 858-888

Abstract: Recent research has extensively examined in-vehicle display designs for supporting the operation of driving automation. As automation relieves drivers from various driving tasks including vehicle control (e.g. steering, accelerating, and braking), driving performance measures (e.g. speed, lane deviations) may not be informative indicators for evaluating the effectiveness of in-vehicle displays. Gaze-based measures are a better alternative given their link to driver visual attention, an indication of driver engagement. A scoping review was conducted to review the literature on the design of displays for supporting the operation of driving automation and the evaluation of these displays using gaze-based measures. Forty-three articles were included in the review. Most of the studies investigated visual (and mixed visual-auditory) displays that provide alerts to the driver for when to intervene automation classified as Level 3. The adopted gaze measures mostly relied on static areas of interest (AOIs), with fewer studies looking at more fine-grained, context dependent AOIs. The paper summarises the findings of the review, including research trends and gaps, as well as recommendations for future research.

Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/01441647.2024.2336921 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:transr:v:44:y:2024:i:4:p:858-888

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/TTRV20

DOI: 10.1080/01441647.2024.2336921

Access Statistics for this article

Transport Reviews is currently edited by Professor David Banister and Moshe Givoni

More articles in Transport Reviews from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().