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

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Human-Computer Interaction – INTERACT 2021 (INTERACT 2021)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12934))

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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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Notes

  1. 1.

    LightWeight Java Game Library (https://www.lwjgl.org).

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Author information

Authors and Affiliations

  1. Department of Communication and Cognition, University of Tilburg, Tilburg, The Netherlands

    Bruno Cardoso & Neil Cohn

  2. Faculty of Arts, KU Leuven, Leuven, Belgium

    Frederik Truyen & Koenraad Brosens

Authors
  1. Bruno Cardoso
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  2. Neil Cohn
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  3. Frederik Truyen
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  4. Koenraad Brosens
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Corresponding author

Correspondence to Bruno Cardoso .

Editor information

Editors and Affiliations

  1. Department of Electrical and Information Engineering, Polytechnic University of Bari, Bari, Italy

    Carmelo Ardito

  2. Computer Science Department, University of Bari Aldo Moro, Bari, Italy

    Rosa Lanzilotti

  3. Computer Science Department, University of Pisa, Pisa, Italy

    Alessio Malizia

  4. Department of Computer Science, University of York, York, UK

    Helen Petrie

  5. Computer Science Department, University of Bari Aldo Moro, Bari, Italy

    Antonio Piccinno

  6. Computer Science Department, University of Bari Aldo Moro, Bari, Italy

    Giuseppe Desolda

  7. Microsoft Research, Redmond, WA, USA

    Kori Inkpen

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Cardoso, B., Cohn, N., Truyen, F., Brosens, K. (2021). Explore Data, Enjoy Yourself - KUbism, A Playful Approach to Data Exploration. In: Ardito, C., et al. Human-Computer Interaction – INTERACT 2021. INTERACT 2021. Lecture Notes in Computer Science(), vol 12934. Springer, Cham. https://doi.org/10.1007/978-3-030-85613-7_4

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  • DOI: https://doi.org/10.1007/978-3-030-85613-7_4

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