Shall we play? - Extending the Visual Analytics Design Space through Gameful Design Concepts
Many interactive machine learning workflows in the context of visual analytics encompass the stages of exploration, verification, and knowledge communication. Within these stages, users perform various types of actions based on different human needs. In this position paper, we postulate expanding th...
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Published in | 2019 IEEE Workshop on Machine Learning from User Interaction for Visualization and Analytics (MLUI) pp. 1 - 9 |
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Main Authors | , , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
20.10.2019
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Subjects | |
Online Access | Get full text |
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Abstract | Many interactive machine learning workflows in the context of visual analytics encompass the stages of exploration, verification, and knowledge communication. Within these stages, users perform various types of actions based on different human needs. In this position paper, we postulate expanding this workflow by introducing gameful design elements. These can increase a user's motivation to take actions, to improve a model's quality, or to exchange insights with others. By combining concepts from visual analytics, human psychology, and gamification, we derive a model for augmenting the visual analytics processes with game mechanics. We argue for automatically learning a parametrization of these game mechanics based on a continuous evaluation of the users' actions and analysis results. To demonstrate our proposed conceptual model, we illustrate how three existing visual analytics techniques could benefit from incorporating tailored game dynamics. Lastly, we discuss open challenges and point out potential implications for future research. |
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AbstractList | Many interactive machine learning workflows in the context of visual analytics encompass the stages of exploration, verification, and knowledge communication. Within these stages, users perform various types of actions based on different human needs. In this position paper, we postulate expanding this workflow by introducing gameful design elements. These can increase a user's motivation to take actions, to improve a model's quality, or to exchange insights with others. By combining concepts from visual analytics, human psychology, and gamification, we derive a model for augmenting the visual analytics processes with game mechanics. We argue for automatically learning a parametrization of these game mechanics based on a continuous evaluation of the users' actions and analysis results. To demonstrate our proposed conceptual model, we illustrate how three existing visual analytics techniques could benefit from incorporating tailored game dynamics. Lastly, we discuss open challenges and point out potential implications for future research. |
Author | Sevastjanova, Rita El-Assady, Mennatallah Schafer, Hanna Keim, Daniel Bernard, Jurgen |
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Title | Shall we play? - Extending the Visual Analytics Design Space through Gameful Design Concepts |
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