创新产品引发的情感:用户体验工具的多成分情感方法

Damien Dupré, A. Tcherkassof, Michel Dubois
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引用次数: 6

摘要

公司对产品、系统或服务的用户体验研究已显著增加,以预测其商业成功。在用户体验维度中,情感占主导地位。然而,用户体验研究使用了几个概念来指代情感,目前的测量方法仍然存在一些缺陷。因此,本博士项目旨在首先提供基于心理学观点的情绪多成分方法,其次提供情感计算解决方案,以便在用户体验研究中评估情绪。通过使用手势界面设备的研究,用自我报告同时测量了用户情绪的三个组成部分:主观、认知和动机成分。研究结果指出了测量不同成分的可能性,以便更好地理解产品引发的情绪。他们还指出,情感计算解决方案可以改善自我报告措施。从这个角度来看,开发了两种情绪评估工具:Oudjat和EmoLyse。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Emotions triggered by innovative products: A multi-componential approach of emotions for user experience tools
User eXperience studies with products, systems or services have significantly increased in companies in order to anticipate their commercial success. Among the user experience dimensions, emotions are predominant. However User eXperience studies used several concepts to refer to emotions and current measures still have some flaws. Consequently, this doctoral project aims firstly to provide a multi-componential approach of emotions based on a psychological view, and secondly to provide Affective Computing solutions in order to evaluate emotions in User eXperience studies. Through a study using hand-gesture interface devices, three components of users' emotions were simultaneously measured with self-reports: the subjective, cognitive and motivational components. The results point out the possibility of measuring different components in order to gain a better understanding of emotions triggered by products. They also point out that self-reports measures could be improved with Affective Computing solutions. In this perspective, two emotion assessment tools were developed: Oudjat and EmoLyse.
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