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用户感性偏好导向的智能语音交互设计评价方法

王铁旦 胡艺朋 彭定洪

工业工程2024,Vol.27Issue(2):57-66,10.
工业工程2024,Vol.27Issue(2):57-66,10.DOI:10.3969/j.issn.1007-7375.230258

用户感性偏好导向的智能语音交互设计评价方法

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

王铁旦 1胡艺朋 1彭定洪1

作者信息

  • 1. 昆明理工大学 管理与经济学院,云南 昆明 650504||昆明理工大学 质量发展研究院,云南 昆明 650504
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摘要

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.

关键词

智能语音交互/感性工学/直觉模糊集/序数优先级方法/锚定效应

Key words

intelligent voice interaction/kansei engineering/intuitionistic fuzzy set/ordinal priority approach/anchoring effect

分类

管理科学

引用本文复制引用

王铁旦,胡艺朋,彭定洪..用户感性偏好导向的智能语音交互设计评价方法[J].工业工程,2024,27(2):57-66,10.

基金项目

国家自然科学基金资助项目(72261020,71861018) (72261020,71861018)

云南省基础研究计划资助项目(202201AT070190) (202201AT070190)

云南省哲学社会科学规划项目(YB2019067) (YB2019067)

工业工程

OACHSSCDCSTPCD

1007-7375

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