Age-Related Differences in the Interaction with Advanced Driver Assistance Systems - A Field Study

Norah Neuhuber, Gernot Lechner, Tahir Emre Kalayci, Alexander Stocker, Bettina Kubicek

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

Abstract

The automotive industry invests enormous sums in vehicle automation. However, for people to buy such (semi-)automated vehicles, trust and acceptance are essential requirements. In addition to trust and acceptance, situation awareness, that is the perception of one’s environment, was shown to be influenced by automation usage. To examine how drivers of different age-groups (“younger” 21–29 years, “middle-aged” 30–49 years, “older” 50–77 years) interact with semi-automated vehicles (level 2) in terms of trust, acceptance and situation awareness, we conducted a comprehensive field study with 100 drivers (49 female), carefully examining questionnaire and thinking-aloud data. Each participant drove once within a “manual” condition and once within a “semi-automated” condition for around 25 min. Within the semi-automated drive, participants could voluntarily use vehicle automation. Our results show that self-reported levels of trust increased after the semi-automated drive. However, we found no significant differences in trust or acceptance ratings between young, middle and older participants. We did find significant differences in self-reported levels of situational awareness between the three age groups after the manual drive. Older drivers reported a significantly lower situation awareness compared to younger drivers. The recorded thinking-aloud data allowed us to gain deeper insights into system interaction: Older participants verbally reported a significantly higher amount of difficulties in understanding and interacting with vehicle automation. Nevertheless, they did not rate the automation system differently in terms of trust and acceptance, indicating that older drivers might acknowledge the possible support provided by the vehicle automation. These results have implications especially for the design of advanced driver assistance systems.
Original languageEnglish
Title of host publicationHCI in Mobility, Transport, and Automotive Systems
Subtitle of host publicationAutomated Driving and In-Vehicle Experience Design : Second International Conference, MobiTAS 2020, Held as Part of the 22nd HCI International Conference, HCII 2020
EditorsHeidi Krömker
Place of PublicationCham
PublisherSpringer
Pages363-378
Number of pages16
Volume1
ISBN (Electronic)978-3-030-50523-3
ISBN (Print)978-3-030-50522-6
DOIs
Publication statusPublished - 10 Jul 2020
EventHCI International 2020: 22nd International Conference on Human-Computer Interaction - Virtuell, Denmark
Duration: 19 Jul 202024 Jul 2020

Publication series

NameLecture Notes in Computer Science
Volume12212

Conference

ConferenceHCI International 2020
Country/TerritoryDenmark
CityVirtuell
Period19/07/2024/07/20

Keywords

  • Acceptance
  • Age
  • Human-automation interaction
  • Level 2 automation
  • Situation awareness
  • Trust

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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