Acceptance poses a significant challenge in deploying Level 4 and higher automated driving systems. To address this, the study introduces and validates the concept of situational acceptance, specifically focusing on how it correlates with crucial user behavior metrics such as decision-making timing and gaze behavior during interactions. Our driving simulator study reveals that the decision-making timing and gaze are closely correlated with variations in acceptance across different scenarios, even among the same group of users interacting with the same automated agent. This demonstrates the pivotal role these metrics play in understanding the dynamics of acceptance. Moreover, the study applies the traditional two-dimensional emotional model, linking decision-making timing with arousal and gaze behavior with valence, to analyze acceptance. This approach establishes a foundation for developing a more comprehensive method of evaluating acceptance in future automated systems.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Driving Simulator Study to Explore the Situational Acceptance and the Objective Indication Under Automated Driving


    Contributors:
    Li, Chenchang (author) / Yang, Bo (author) / Guan, Muhua (author) / Nakano, Kimihiko (author)


    Publication date :

    2024-09-24


    Size :

    939974 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Human Driver’s Acceptance of Automated Driving Systems Based on a Driving Simulator Study

    Hanzl, Georg / Haberl, Michael / Eichberger, Arno et al. | Springer Verlag | 2020


    A Longitudinal Simulator Study to Explore Drivers’ Behaviour During Highly-Automated Driving

    Large, David R. / Burnett, Gary / Morris, Andrew et al. | Springer Verlag | 2017


    Do we trust automated vehicles? A driving simulator study

    De Cet, Giulia / Orsini, Federico / Meneguzzer, Claudio et al. | Elsevier | 2024

    Free access

    Situational Awareness in the Context of Automated Driving - Adapting the Situational Awareness Global Assessment Technique

    Schwindt, Sarah / Graevenitz, Paula von / Abendroth, Bettina | DataCite | 2023

    Free access

    Driving Simulator Validation Study

    Kolich, M. | SAE Technical Papers | 2003