@inproceedings{7905b139e69c4146adbbdb9c0133b161,
title = "Ergonomic Experimental Study of Passenger Interaction Influenced by Cabin Brightness and Noise Environment",
abstract = "The project team conducted ergonomic experiments for multi-channel interactive input to analyze the effect of cabin lighting and noise environment on multi-modal interaction performance. The simulated experiment environment of the operator task was constructed, and the attention and physiological response of the subjects were compared in a typical scene of a special vehicle. Through the experimental analysis, the brightness change has an impact on the attention and physiological emergency of mechanical interaction, voice interaction and touch interaction. The attention and physiological emergency were the smallest in the moderate noise environment, and the attention and physiological stress were increased in the small and large noise environment. This study can provide experimental basis for vehicle man-machine control design.",
keywords = "Attention, Man-machine control, Multi-channel, Vehicles",
author = "Zhongliang Wei and Ruqiang Li and Kedi Luan and Baoqiao Guo and Fang Xie and Sijuan Zheng",
note = "Publisher Copyright: {\textcopyright} Beijing KeCui Man-Machine-Environment System Engineering Technology Research Academy 2024.; 24th Conference on Man-Machine-Environment System Engineering, MMESE 2024 ; Conference date: 18-10-2024 Through 20-10-2024",
year = "2024",
doi = "10.1007/978-981-97-7139-4_100",
language = "English",
isbn = "9789819771387",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "738--745",
editor = "Shengzhao Long and Dhillon, {Balbir S.} and Long Ye",
booktitle = "Man-Machine-Environment System Engineering - Proceedings of the 24th Conference on MMESE",
address = "Germany",
}