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A methodology for creating and validating psychological stories for conveying and measuring psychological traits
User Modeling and User-Adapted Interaction ( IF 3.6 ) Pub Date : 2019-03-19 , DOI: 10.1007/s11257-019-09219-6
Kirsten A Smith 1 , Matt Dennis 2 , Judith Masthoff 3, 4 , Nava Tintarev 5
Affiliation  

Personality impacts all areas of our lives; it governs who we are and how we react to life’s challenges. Personalized systems that adapt to end users should take into account the user’s personality to perform well. Several methodologies (e.g. User-as-Wizard, indirect studies) that use personality adaptation require first for personality to be conveyed to the participant; this has few validated approaches. Furthermore, measuring personality is often time consuming, prone to response bias (e.g. using questionnaires) or data intensive (e.g. using behaviour or text mining). This paper presents a methodology for creating and validating stories to convey psychological traits and for using such stories with a personality slider scale to measure these traits. We present the validation of the scale and evaluate its reliability. To evidence the validity of the methodology, we outline studies where the stories and scale have been effectively applied (in recommender systems, intelligent tutoring systems, and persuasive systems).

中文翻译:

一种创建和验证用于传达和测量心理特征的心理故事的方法

个性影响我们生活的方方面面;它支配着我们是谁以及我们如何应对生活中的挑战。适应终端用户的个性化系统,要兼顾用户的个性,才能有好的表现。使用个性适应的几种方法(例如用户作为向导、间接研究)首先需要将个性传达给参与者;这几乎没有经过验证的方法。此外,测量个性通常很耗时,容易产生反应偏差(例如使用问卷)或数据密集型(例如使用行为或文本挖掘)。本文介绍了一种创建和验证故事以传达心理特征的方法,以及使用带有个性滑块量表的此类故事来衡量这些特征的方法。我们展示了该量表的验证并评估其可靠性。
更新日期:2019-03-19
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