Move&Find: The value of kinesthetic experience in a casual data representation

Jörn Hurtienne, Franzisca Maas, Astrid Carolus, Daniel Reinhardt, Cordula Baur, Carolin Wienrich

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View presentation:2021-10-27T15:30:00ZGMT-0600Change your timezone on the schedule page
2021-10-27T15:30:00Z
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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. We experimentally compared Move&Find to a corresponding visualisation. 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.
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Abstract

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.