Autonomous driving technologies can minimize accidents. Communication from an autonomous vehicle to a pedestrian with a feedback module will improve the pedestrians’ safety in autonomous driving. We compared several feedback module options in a Virtual Reality environment to identify which module best increases public acceptance, legibility, and trust in the autonomous vehicle’s decision, and to identify preference. The results of this study show that participants prefer symbols or text over lights and road projection with no significant difference between symbols and text. Further, our results show that the preferred text interaction mode option when the vehicle is not driving is “Walk,” “Safe to cross,” “Go ahead” and “Waiting”, and the preferred symbol interaction mode option is the walking person as on a traffic light, with no significant preference between the cross advisory symbol and the pedestrian crossing sign.


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    Titel :

    Comprehensive Feedback Module Comparison for Autonomous Vehicle-Pedestrian Communication in Virtual Reality


    Weitere Titelangaben:

    Lect.Notes Computer


    Beteiligte:
    Ali, Abdulaziz Al (Herausgeber:in) / Cabibihan, John-John (Herausgeber:in) / Meskin, Nader (Herausgeber:in) / Rossi, Silvia (Herausgeber:in) / Jiang, Wanyue (Herausgeber:in) / He, Hongsheng (Herausgeber:in) / Ge, Shuzhi Sam (Herausgeber:in) / Schmidt-Wolf, Melanie (Autor:in) / Folmer, Eelke (Autor:in) / Feil-Seifer, David (Autor:in)

    Kongress:

    International Conference on Social Robotics ; 2023 ; Doha, Qatar December 03, 2023 - December 07, 2023



    Erscheinungsdatum :

    2023-12-03


    Format / Umfang :

    14 pages




    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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