An Evaluation Method for Intelligent Voice Interaction Design Based on User Perceptual Preference

doi:10.3969/j.issn.1007-7375.230258

Abstract

Abstract: User perceptual preference is an important basis for intelligent voice interaction design. To solve the problem of inconsistency between users' actual decision-making behavior and their perceptual evaluation results in the evaluation process, an intuitionistic fuzzy anchoring evaluation method based on user perceptual preference is proposed. Firstly, to fully describe the ambiguity and uncertainty of user preference, the intuitionistic fuzzy set is used to represent the user's perceptual preference information for intelligent voice interaction design. Secondly, the best and worst idea is incorporated into the ordinal priority approach (OPA) to determine the weights, which ensures the simplicity of the operation process and overcomes the defects of traditional OPA in sorting. Thirdly, the mechanism of anchoring effect in the evaluation process is described from a mathematical perspective, and the anchoring effect is integrated into the evaluation method of intelligent voice interaction design to quantitatively analyze the impact of the anchoring effect on the final evaluation result. Finally, taking the voice interaction design of an intelligent vehicle system as an example, it is verified that the method can improve the accuracy and reliability of predicting the actual decision result of users.

Key words: intelligent voice interaction, kansei engineering, intuitionistic fuzzy set, ordinal priority approach, anchoring effect

CLC Number:

WANG Tiedan, HU Yipeng, PENG Dinghong. An Evaluation Method for Intelligent Voice Interaction Design Based on User Perceptual Preference[J]. Industrial Engineering Journal, 2024, 27(2): 57-66.

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