Audio-visual Imagery Evaluation Method of Automotive Central Control Interfaces Based on DBO-SVR

ZHAO Fanghua; LIU Xinru; LI Murong; YAN Xingyu; DING Man

doi:10.19554/j.cnki.1001-3563.2026.02.006

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Packaging Engineering ›› 2026, Vol. 47 ›› Issue (2) : 59-68. DOI: 10.19554/j.cnki.1001-3563.2026.02.006

Industrial Design

Audio-visual Imagery Evaluation Method of Automotive Central Control Interfaces Based on DBO-SVR

ZHAO Fanghua¹, LIU Xinru¹, LI Murong¹, YAN Xingyu¹, DING Man^1,*

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Abstract

To enhance user experience in automotive central control interfaces, the work aims to propose an evaluation method for audio-visual imagery based on dung beetle optimization-support vector regression (DBO-SVR). Visual and auditory samples of interfaces were collected through web crawling. Representative samples and affective image descriptors were identified through clustering analysis and principal component analysis. A semantic differential-based questionnaire was designed to map user emotional preferences to audio-visual design features. The collected data were preprocessed, and an evaluation model was developed by integrating DBO with support vector regression. The model was trained and validated with the constructed dataset. The algorithm was compared and validated against common models. The experimental results demonstrated that this method could effectively evaluate users' imagery evaluations with high accuracy and stability. This method enables the quantification of affective imagery demands in interface design, supporting designers in aligning audio-visual experiences with users' emotional needs more precisely.

Key words

interface design / support vector regression / dung beetle optimization algorithm / genetic algorithm

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ZHAO Fanghua, LIU Xinru, LI Murong, YAN Xingyu, DING Man. Audio-visual Imagery Evaluation Method of Automotive Central Control Interfaces Based on DBO-SVR[J]. Packaging Engineering. 2026, 47(2): 59-68 https://doi.org/10.19554/j.cnki.1001-3563.2026.02.006

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