Color Saturation Evaluation Of Vehicle HMI Interface Based On Multimodal Physiological Data

In the development process of the automotive industry over the past decade,the level of cabin intelligence has gradually increased,and various human-machine interaction methods have emerged.Among them,the HMI interface serves as the main visual interaction platform,which is closely related to the driving comfort,safety,and driving experience.Color is the primary factor that users perceive in interfaces,and it is also an important aspect in the design process.Therefore,research on the perceptual evaluation of interface color design has significant practical significance.The current methods for evaluating color design of interface mainly rely on subjective evaluation methods such as personal and expert reviews,lacking practical and reliable evaluation metrics to provide objective assessment of the design,which cannot effectively reflect users’ experience and may result in significant design bias.In this paper,we focus on the saturation of colors in automotive instrument panel interface,extract objective data,quantify evaluation metrics and establish a saturation evaluation method based on eye tracking,brain imaging and subjective rating scales,incorporating both objective and subjective indicators.The main contents are as follows:(1)This paper investigates the physiological indicators for evaluating color saturation in a rational manner.The study focuses on fundamental properties of color,color emotion theory,eye-tracking experimental theory,functional near-infrared spectroscopy(f NIRS)theory and its applications.Preliminary analyses and selection of evaluation indicators are conducted,resulting in a theoretical foundation for colorbased eye-tracking indicators,oxygen concentration change indicators,and their corresponding response mechanisms.(2)The subjective scale evaluation experiment is carried out.Based on the Likert scale,the questionnaire data are collected and analyzed,and the user’s color preference is analyzed.The eye tracking experiment is carried out to extract the total fixation time of AOI,the number of AOI fixations,and the first fixation time.(3)Eye-tracking and functional near-infrared spectroscopy(f NIRS)multimodal synchronous experiment is conducted,which induces emotional changes through color stimulation.Physiological data indicators,including changes in blood oxygen concentration in the frontal brain regions(superior,middle,and inferior frontal gyri)and eye movements and pupil size data are extracted.By comparing the changes in blood oxygen concentration during the experimental window period for positive and negative emotions,an emotion classification model is established.(4)Comprehensive analysis of preference and emotional changes,optimization and screening of objective physiological data and subjective evaluation data,analysis of the principle of stimulation induction,determination of the meaning of stimulation-induced physiological index changes and the area and channel of brain physiological index induced by emotion,and establishment of instrument interface color saturation evaluation method based on questionnaire,eye movement and f NIRS functional nearinfrared spectroscopy multimodality.