个人信息学中的动机启示与人格类型

Yamini Karanam, Hanan Alotaibi, Leslie Filko, Elham Makhsoom, Lindsay N. Kaser, Stephen Voida
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引用次数: 42

摘要

随着智能手机上隐式数据收集和警报机制的引入,个人信息学应用得到了迅猛发展。对这些应用程序的定制化设计的需求正在出现,基于用户个性特征的定制UI设计的研究已经建立起来。这张海报调查了游戏化个人信息应用程序中的各种功能如何影响动机水平,以跟踪和实现不同个性类型的用户的目标。我们进行了一项研究,以检验用户人格特征与(1)行为跟踪应用程序中的动机启示和(2)用户喜欢跟踪的特定行为之间的关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Motivational affordances and personality types in personal informatics
Personal informatics applications have been gaining momentum with the introduction of implicit data collection and alert mechanisms on smart phones. A need for customized design of these applications is emerging and studies on tailoring UI design based on the personality traits of users are well established. This poster investigates how various affordances in gamified personal informatics applications affect motivation levels to track and achieve goals for users with different personality types. We conducted a study to examine how user personality traits relate to (1) motivational affordances in behavior tracking applications and (2) the specific behaviors users prefer to track.
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