short-paper

Pedestrians’ Mental Model Development after Initial Encounters with Automated Driving Systems

Authors:

Philip Joisten,

Sarah Selina Schwindt,

Bettina AbendrothAuthors Info & Claims

ECCE '22: Proceedings of the 33rd European Conference on Cognitive Ergonomics

Article No.: 14, Pages 1 - 4

https://doi.org/10.1145/3552327.3552331

Published: 04 October 2022 Publication History

Abstract

Automated driving systems (ADS) in urban road traffic incorporate external human-machine interfaces (eHMI) as explicit means of interaction with pedestrians. To enable safe interactions, a pedestrian’s mental model must be consistent with the functions and limitations of the ADS. The aim of this research is to investigate developments in pedestrians’ mental models towards ADS displaying different levels of automation transparency (AT) via an eHMI. Thirty-seven participants were instructed about ADS and experienced 60 interactions with an ADS on three test days (longitudinal design) in a controlled field test environment. As between-subject variable the level of AT was manipulated (status information vs. status, perception and yielding intention information). As dependent variable the mental model was measured by means of a questionnaire. The study results show that a pedestrian’s mental model of an ADS does not develop within the three initial encounters but is initially influenced by the level of AT conveyed via an eHMI. Participants in the high AT group assessed the ADS’s ability to communicate its yielding and nonyielding intention as more applicable. When designing eHMIs and instructing pedestrians accordingly, misconceptions in the pedestrians’ mental model should be considered.

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Cited By

Brill SPayre WDebnath AHoran BBirrell S(2023)External Human–Machine Interfaces for Automated Vehicles in Shared Spaces: A Review of the Human–Computer Interaction LiteratureSensors10.3390/s2309445423:9(4454)Online publication date: 2-May-2023
https://doi.org/10.3390/s23094454

Index Terms

Pedestrians’ Mental Model Development after Initial Encounters with Automated Driving Systems
1. Human-centered computing
  1. Human computer interaction (HCI)

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Published In

cover image ACM Other conferences

ECCE '22: Proceedings of the 33rd European Conference on Cognitive Ergonomics

October 2022

183 pages

ISBN:9781450398084

DOI:10.1145/3552327

Editors:
Achim Ebert
TU Kaiserslautern, Germany
,
Thomas Lachmann
TU Kaiserslautern, Germany
,
Klaus Dreßler
Fraunhofer ITWM, Germany
,
Jessica Lindblom
Uppsala University, Sweden
,
René Reinhard
Fraunhofer ITWM, Germany

Copyright © 2022 ACM.

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Published: 04 October 2022

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Bundesministerium für Wirtschaft und Klimaschutz

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ECCE 2022

ECCE 2022: 33rd European Conference on Cognitive Ergonomics

October 4 - 7, 2022

Kaiserslautern, Germany

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Cited By

Brill SPayre WDebnath AHoran BBirrell S(2023)External Human–Machine Interfaces for Automated Vehicles in Shared Spaces: A Review of the Human–Computer Interaction LiteratureSensors10.3390/s2309445423:9(4454)Online publication date: 2-May-2023
https://doi.org/10.3390/s23094454

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