Investigating what level of visual information inspires trust in a user of a highly automated vehicle

Rachel H.Y. Ma; Andrew Morris; Paul Herriotts; Stewart Birrell

doi:10.1016/j.apergo.2020.103272

Investigating what level of visual information inspires trust in a user of a highly automated vehicle

Rachel H.Y. Ma, Andrew Morris, Paul Herriotts, Stewart Birrell

Research output: Contribution to journal › Article › peer-review

6 Citations (Scopus)

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Abstract

The aim of this research is to investigate whether visual feedback alone can affect a driver's trust in an autonomous vehicle, and in particular, what level of feedback (no feedback vs. moderate feedback vs. high feedback) will evoke the appropriate level of trust. Before conducting the experiment, the Human Machine Interfaces (HMI) were piloted with two sets of six participants (before and after iterations), to ensure the meaning of the displays can be understood by all. A static driving simulator experiment was conducted with a sample of 30 participants (between 18 and 55). Participants completed two pre-study questionnaires to evaluate previous driving experience, and attitude to trust in automation. During the study, participants completed a trust questionnaire after each simulated scenario to assess their trust level in the autonomous vehicle and HMI displays, and on intention to use and acceptance. The participants were shown 10 different driving scenarios that lasted approximately 2 minutes each. Results indicated that the ‘high visual feedback’ group recorded the highest trust ratings, with this difference significantly higher than for the ‘no visual feedback’ group (U = .000; p =

Original language	English
Article number	103272
Journal	Applied Ergonomics
Volume	90
Early online date	3 Oct 2020
DOIs	https://doi.org/10.1016/j.apergo.2020.103272
Publication status	Published - Jan 2021

Bibliographical note

NOTICE: this is the author’s version of a work that was accepted for publication in Applied Ergonomics. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Applied Ergonomics, 90, (2021) DOI: 10.1016/j.apergo.2020.103272

© 2021, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/

Keywords

Autonomous vehicles
Driving simulator
HMI
Trust
Visual feedback

ASJC Scopus subject areas

Human Factors and Ergonomics
Physical Therapy, Sports Therapy and Rehabilitation
Safety, Risk, Reliability and Quality
Engineering (miscellaneous)

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10.1016/j.apergo.2020.103272

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Cite this

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abstract = "The aim of this research is to investigate whether visual feedback alone can affect a driver's trust in an autonomous vehicle, and in particular, what level of feedback (no feedback vs. moderate feedback vs. high feedback) will evoke the appropriate level of trust. Before conducting the experiment, the Human Machine Interfaces (HMI) were piloted with two sets of six participants (before and after iterations), to ensure the meaning of the displays can be understood by all. A static driving simulator experiment was conducted with a sample of 30 participants (between 18 and 55). Participants completed two pre-study questionnaires to evaluate previous driving experience, and attitude to trust in automation. During the study, participants completed a trust questionnaire after each simulated scenario to assess their trust level in the autonomous vehicle and HMI displays, and on intention to use and acceptance. The participants were shown 10 different driving scenarios that lasted approximately 2 minutes each. Results indicated that the {\textquoteleft}high visual feedback{\textquoteright} group recorded the highest trust ratings, with this difference significantly higher than for the {\textquoteleft}no visual feedback{\textquoteright} group (U = .000; p = ",

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Investigating what level of visual information inspires trust in a user of a highly automated vehicle

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

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