ISSN 1671-3710
CN 11-4766/R
主办：中国科学院心理研究所
出版：科学出版社

心理科学进展 ›› 2014, Vol. 22 ›› Issue (6): 959-967.doi: 10.3724/SP.J.1042.2014.00959

• 研究前沿 • 上一篇    下一篇

电生理测量在用户体验中的应用

葛燕;陈亚楠;刘艳芳;李稳;孙向红   

  1. (1中国科学院心理研究所行为科学重点实验室, 北京 100101) (2中国移动通信研究院, 北京 100055)
  • 收稿日期:2013-10-29 出版日期:2014-06-15 发布日期:2014-06-15
  • 通讯作者: 刘艳芳
  • 基金资助:

    中国移动研究院项目及国家自然科学基金项目(31100750, 91124003)资助。

Electrophysiological Measures Applied in User Experience Studies

GE Yan;CHEN Yanan;LIU Yanfang;LI Wen;SUN Xianghong   

  1. (1 Key laboratory of Behavioral science, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China) (2 Labs of China Mobile, Beijing 100055, China)
  • Received:2013-10-29 Online:2014-06-15 Published:2014-06-15
  • Contact: LIU Yanfang

PDF (PC)

5704

被引次数

37

摘要：

用户体验是用户在使用产品过程中的完整感受, 电生理技术可用于测量用户在产品使用过程中的实时体验。皮电、心电和脑电是用户体验研究领域最典型的三类电生理指标, 主要涉及用户体验过程中认知和情感状态的测量：在皮电相关指标中, 皮肤电导水平能有效地反映用户使用产品时的情绪唤醒度和认知努力程度; 在心电相关指标中, 心率对用户的情绪体验敏感, 而心率变异性对用户的心理负荷变化敏感; 在脑电相关指标中, α波和β波是用户情绪变化和心理负荷的有效指标。目前, 这些指标在情绪类别的识别上还缺乏敏感性, 并且在实际应用方面也存在各自的优缺点。未来的研究突破点可在三个方面展开：一是探讨用户体验过程中情绪类别的识别, 二是整合多种指标对情绪状态进行实时的识别, 三是关注美感体验的生理测量。

关键词: 用户体验, 电生理测量, 认知, 情绪

Abstract:

User experience refers to a person's perceptions and responses from their interaction with products. Electrophysiological techniques offer a possibility to measure user experience in real time. Three electrophysiological measures, Electrodermal activity (EDA), Electrocardiogram (ECG) and Electroencephalogram (EEG), were reviewed focusing on studies related to human cognitive and emotional state. Previous studies have found that the Skin conductance level (SCL) is related with emotional arousal level and cognitive engagement in EDA; Heart Rate (HR) is sensitive to emotional arousal and Heart Rate Variability (HRV) is sensitive to mental workload in ECG; and alpha and beta waves in EEG are valid indicators of emotional state and mental workload. However, these indices are not sensitive to the valence and categories of emotion. Future research could be developed in three aspects: identifying the valence and categories of emotion in user experience, integrating and synchronizing multiple indicators to identify emotional state in real time, and measuring aesthetic experience by physiological technology.

Key words: User experience, electrophysiological measurement, cognitive state, emotional state