Go and Grow: Mapping Personal Data to a Living Plant

F. Botros, Charles Perin, Bon Adriel Aseniero, Sheelagh Carpendale
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引用次数: 27

Abstract

Motivation is a key factor for introducing and maintaining healthy changes in behaviour. However, typical visualization methods (e.g., bar-, pie-, and line charts) hardly motivate individuals. We investigate how a plant---a living visualization---whose health relies on the plant owner's level of activity, can engage people in tracking and self-reflecting on their fitness data. To address this question, we designed, implemented, and studied Go & Grow, a living plant that receives water proportionally to its owner's activity. Our six-week qualitative study with ten participants suggests that living visualizations have qualities that their digital counterparts do not have. This includes people feeling: emotionally connected to their plant; sentiments such as pride and guilt; and responsibility towards their plant. Based on this study, we introduce the Goal Motivation Model, a model considering the diversity of individuals, thus supporting and encouraging a diversity of strategies for accomplishing goals.
Go and Grow:将个人数据映射到活的植物
动机是引入和保持健康的行为改变的关键因素。然而,典型的可视化方法(如条形图、饼图和折线图)很难激励个人。我们研究了植物——一个活生生的可视化——它的健康依赖于植物主人的活动水平,如何让人们参与跟踪和自我反思他们的健康数据。为了解决这个问题,我们设计、实施并研究了Go & Grow,这是一种按照主人的活动比例接受水的活植物。我们对10名参与者进行了为期6周的定性研究,结果表明,活体可视化具有数字图像所不具备的品质。这包括人们的感觉:情感上与他们的植物联系在一起;骄傲和内疚等情绪;以及对工厂的责任。在此基础上,我们引入了目标激励模型,该模型考虑了个体的多样性,从而支持和鼓励实现目标的策略的多样性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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