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Move&Find: The value of kinesthetic experience in a casual data representation
IEEE Computer Graphics and Applications ( IF 1.8 ) Pub Date : 2020-11-01 , DOI: 10.1109/mcg.2020.3025385
Jorn Hurtienne 1 , Franzisca Maas 1 , Astrid Carolus 1 , Daniel Reinhardt 1 , Cordula Baur 1 , Carolin Wienrich 1
Affiliation  

The value of a data representation is traditionally judged based on aspects like effectiveness and efficiency that are important in utilitarian or work-related contexts. Most multisensory data representations, however, are employed in casual contexts where creativity, affective, physical, intellectual, and social engagement might be of greater value. We introduce Move&Find, a multisensory data representation in which people pedalled on a bicycle to exert the energy required to power a search query on Google's servers. To evaluate Move&Find, we operationalized a framework suitable to evaluate the value of data representations in casual contexts and experimentally compared Move&Find to a corresponding visualization. With Move&Find, participants achieved a higher understanding of the data. Move&Find was judged to be more creative and encouraged more physical and social engagement—components of value that would have been missed using more traditional evaluation frameworks.

中文翻译:

Move&Find:随意数据表示中动觉体验的价值

数据表示的价值传统上是根据有效性和效率等方面来判断的,这些方面在功利主义或与工作相关的环境中很重要。然而,大多数多感官数据表示都用于创造性、情感、身体、智力和社会参与可能具有更大价值的休闲环境中。我们介绍了 Move&Find,这是一种多感官数据表示,其中人们踩着自行车施加所需的能量来为 Google 服务器上的搜索查询提供动力。为了评估 Move&Find,我们实施了一个框架,该框架适用于评估临时环境中数据表示的价值,并通过实验将 Move&Find 与相应的可视化进行比较。通过 Move&Find,参与者对数据有了更高的理解。移动&
更新日期:2020-11-01
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