Explore Data, Enjoy Yourself - KUbism, A Playful Approach to Data Exploration - Human-Computer Interaction – INTERACT 2021 Access content directly
Conference Papers Year : 2021

Explore Data, Enjoy Yourself - KUbism, A Playful Approach to Data Exploration

Abstract

The increasing relevance of information in today’s world has grown the challenge of accessible data exploration. Most existing approaches are primarily utilitarian, where the motivation for exploration remains mostly extrinsic, correlated to the value of the outcome. In light of our natural drives for exploration, we argue that data exploration can be made more rewarding and enjoyable via interfaces that leverage the intrinsic motivations of users. To that end, we present KUbism, a prototype emphasizing the hedonic value of data exploration through a playful interface built with elements of Minecraft gameplay. Implemented as a Terasology module, KUbism invites users to explore data in voxel worlds populated with data blocks. We conducted a user study (n = 41) to validate our approach in both hedonic and utilitarian dimensions. Our results demonstrate that KUbism allows effective data exploration while arousing curiosity and joy, thereby reinforcing the extrinsic value of data exploration with intrinsic rewards.
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hal-04292377 , version 1 (17-11-2023)

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Bruno Cardoso, Neil Cohn, Frederik Truyen, Koenraad Brosens. Explore Data, Enjoy Yourself - KUbism, A Playful Approach to Data Exploration. 18th IFIP Conference on Human-Computer Interaction (INTERACT), Aug 2021, Bari, Italy. pp.43-64, ⟨10.1007/978-3-030-85613-7_4⟩. ⟨hal-04292377⟩
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