Estimation of situation awareness score and performance using eye and head gaze for human-robot collaboration

Lucas Paletta, Amir Dini, Cornelia Murko, Saeed Yahyanejad, Ursula Augsdörfer

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem KonferenzbandForschungBegutachtung

Abstract

Human attention processes play a major role in the optimization of human-robot collaboration (HRC) [Huang et al. 2015]. We describe a novel methodology to measure and predict situation awareness from eye and head gaze features in real-time. The awareness about scene objects of interest was described by 3D gaze analysis using data from eye tracking glasses and a precise optical tracking system. A probabilistic framework of uncertainty considers coping with measurement errors in eye and position estimation. Comprehensive experiments on HRC were conducted with typical tasks including handover in a lab based prototypical manufacturing environment. The gaze features highly correlate with scores of standardized questionnaires of situation awareness (SART [Taylor 1990], SAGAT [Endsley 2000]) and predict performance in the HRC task. This will open new opportunities for human factors based optimization in HRC applications.
Spracheenglisch
TitelProceedings of the 11th ACM Symposium on Eye Tracking Research & Applications
ErscheinungsortNew York
Seiten1-3
Band61
StatusVeröffentlicht - 25 Jun 2019

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Robots
Robot applications
Human engineering
Measurement errors
Glass
Experiments
Uncertainty

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    Paletta, L., Dini, A., Murko, C., Yahyanejad, S., & Augsdörfer, U. (2019). Estimation of situation awareness score and performance using eye and head gaze for human-robot collaboration. in Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications (Band 61, S. 1-3). New York.

    Estimation of situation awareness score and performance using eye and head gaze for human-robot collaboration. / Paletta, Lucas; Dini, Amir; Murko, Cornelia ; Yahyanejad, Saeed ; Augsdörfer, Ursula.

    Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications. Band 61 New York, 2019. S. 1-3.

    Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem KonferenzbandForschungBegutachtung

    Paletta, L, Dini, A, Murko, C, Yahyanejad, S & Augsdörfer, U 2019, Estimation of situation awareness score and performance using eye and head gaze for human-robot collaboration. in Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications. Bd. 61, New York, S. 1-3.
    Paletta L, Dini A, Murko C, Yahyanejad S, Augsdörfer U. Estimation of situation awareness score and performance using eye and head gaze for human-robot collaboration. in Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications. Band 61. New York. 2019. S. 1-3
    Paletta, Lucas ; Dini, Amir ; Murko, Cornelia ; Yahyanejad, Saeed ; Augsdörfer, Ursula. / Estimation of situation awareness score and performance using eye and head gaze for human-robot collaboration. Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications. Band 61 New York, 2019. S. 1-3
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    AU - Augsdörfer, Ursula

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