Title: Evaluating the brightness difference of driver's visual adaptation between road and HMI using consensus model and PSO algorithm

Authors: Dihui Chu; Zhisheng Zhang; Wenyu Wu; Zhijie Xia; Fangzhou Dong

Addresses: School of Mechanical Engineering, Southeast University Nanjing, China ' School of Mechanical Engineering, Southeast University Nanjing, China ' School of Mechanical Engineering, Southeast University Nanjing, China ' Jiangsu Nangao Innovation Centre for Intelligent Equipment, Ltd., Nanjing, China ' School of Design and Architecture, Monash University, Suzhou, China

Abstract: This paper aims to explore the change of brightness on the driver's cognition when the driver's attention shifts from the driving perspective to the HMI in a car to improve the driving safety. The Likert IO-point subjective scale is used to evaluate the driving difficulty. The software Scanner is used to simulate the road environment with different levels of brightness. The analytic hierarchy process (AHP) is used to analyse the questionnaire index and the opinion weight of the subjects. The particle swarm optimisation algorithm (PSO) is used to optimise the evaluation of the non-consensus rating items. The three combination modes of visual light adaptation, dark adaptation and no brightness difference are prioritised. PSO is introduced in this paper into the driving safety evaluation, which improves the reliability of subjective evaluation and provides a reference for human machine interface (HMI) brightness design.

Keywords: human machine interaction; visual adaptation; ergonomics; HMI; consensus reaching; driving safety.

DOI: 10.1504/IJBBR.2023.135601

International Journal of Biomechatronics and Biomedical Robotics, 2023 Vol.4 No.2, pp.53 - 60

Received: 23 Nov 2022
Accepted: 06 Dec 2022
Published online: 19 Dec 2023 *

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