Effect of Knowledge of Automation Capability on Trust and Workload in an Automated Vehicle: A Driving Simulator Study

Siddartha Khastgir, Stewart Birrell, Gunwant Dhadyalla, Paul Jennings

Research output: Chapter in Book/Report/Conference proceedingConference proceeding

29 Downloads (Pure)

Abstract

For the appropriate design of Advanced Driver Assistance Systems (ADAS) and Automated Driving (AD) systems, it is important to understand the process of driver-automation interaction and the factors affecting this interaction. In order to develop a part of this understanding, an exploratory driving simulator study with fifteen participants was conducted. The study design divided the participants into two groups: low capability automated system and high capability automated system. The study showed that providing knowledge about the capability of the automated system to the participants increased their overall trust in the automated system. However, it also increased their workload during the driving task. Increase in workload with knowledge was lower for high capability automated systems as compared to low capability automated systems. Therefore, while there is a need to inform the driver about the true capabilities of the system, there is a need to increase the capability of the systems to avoid increasing drivers’ workload too much.

Original languageEnglish
Title of host publicationAdvances in Human Aspects of Transportation - Proceedings of the AHFE 2018 International Conference on Human Factors in Transportation, 2018
EditorsNeville Stanton
PublisherSpringer-Verlag London Ltd
Pages410-420
Number of pages11
ISBN (Print)9783319938844
DOIs
Publication statusPublished - 2019
Externally publishedYes
EventAHFE International Conference on Human Factors in Transportation, 2018 - Orlando, United States
Duration: 21 Jul 201825 Jul 2018

Publication series

NameAdvances in Intelligent Systems and Computing
Volume786
ISSN (Print)2194-5357

Conference

ConferenceAHFE International Conference on Human Factors in Transportation, 2018
CountryUnited States
CityOrlando
Period21/07/1825/07/18

Keywords

  • Automation
  • Human-automation interaction
  • Knowledge
  • Trust
  • Workload

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

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