@inproceedings{e56fb8216db94f28bdd34324c06e91dc,
title = "Pupil and Electromyography (EMG) Responses to Collision Warning in a Real Driving Environment",
abstract = "The purpose of this study is to assess drivers{\textquoteright} upcoming decisions to collision warnings by analyzing their pupil and electromyography (EMG) responses in a real driving environment. Twenty male college students participated in this study. Tobii Glasses2 and electromyography MYO armbands were used to collect the physiological data. Forward collision warning (FCW) and lane departure warning (LDW) were generated from aftermarket CAT devices. According to the results, we found that different fluctuating patterns of pupil and electromyography responses exist when drivers responded to a collision warning. The potential causality between pupil diameter changes and normalized EMG could be applied as a valid indicator of drivers{\textquoteright} different cognitive status to the responded warning and ignored warning, which contains valuable or useless information. Findings from this study will contribute to future algorithm development in a next-generation smart vehicle that can not only identify and predict drivers{\textquoteright} upcoming responses but also customize warning functions based on drivers{\textquoteright} status.",
keywords = "Collision warning, Electromyography (EMG), Human cognitive behavior, Pupillary response",
author = "Xiaonan Yang and Kim, {Jung Hyup}",
note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.; Human Computer Interaction thematic area of the 24th International Conference on Human-Computer Interaction, HCII 2022 ; Conference date: 26-06-2022 Through 01-07-2022",
year = "2022",
doi = "10.1007/978-3-031-05409-9_32",
language = "English",
isbn = "9783031054082",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "415--423",
editor = "Masaaki Kurosu",
booktitle = "Human-Computer Interaction. Technological Innovation - Thematic Area, HCI 2022, Held as Part of the 24th HCI International Conference, HCII 2022, Proceedings",
address = "Germany",
}