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Understanding Drivers’ Physiological Responses in Different Road Conditions

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HCI in Mobility, Transport, and Automotive Systems (HCII 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13335))

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Abstract

Although the driver’s emotion has been studied in the different driving environments (such as city and highway), understanding what eye metrics and facial expressions correspond to specific emotion and behavior based on subjective and biosensor data to study emotion in depth is not well researched in previous studies. Using an eye-integrated human-in-the-loop (HTIL) simulation experiment, we studied how drivers’ facial expressions and ocular measurements relate to emotions. We found that the driving environment could significantly affect drivers’ emotions, which is evident in their facial expressions and eye metrics data. In addition, such outcomes provide knowledge to human-computer-interaction (HCI) practitioners on designing emotion recognition systems in cars to have a robust understanding of the drivers’ emotions and help progress multimodal emotion recognition.

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Authors and Affiliations

  1. Industrial and Manufacturing Systems Engineering Department, University of Missouri, Columbia, MO, USA

    Sara Mostowfi & Jung Hyup Kim

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  1. Sara Mostowfi
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  2. Jung Hyup Kim
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Correspondence to Jung Hyup Kim .

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  1. Technische Universität Ilmenau, Ilmenau, Germany

    Heidi Krömker

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Mostowfi, S., Kim, J.H. (2022). Understanding Drivers’ Physiological Responses in Different Road Conditions. In: Krömker, H. (eds) HCI in Mobility, Transport, and Automotive Systems. HCII 2022. Lecture Notes in Computer Science, vol 13335. Springer, Cham. https://doi.org/10.1007/978-3-031-04987-3_15

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  • DOI: https://doi.org/10.1007/978-3-031-04987-3_15

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-031-04987-3

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