Do Hexad User Types Matter? Effects of (Non-) Personalized Gamification on Task Performance and User Experience in an Image Tagging Task
Author:
Affiliation:
1. German Research Center for Artificial Intelligence (DFKI), Saarland Informatics Campus, Saarbrücken, Germany
2. Saarland Informatics Campus, Saarbrücken, Germany
3. Philips Research, Eindhoven, Netherlands
Abstract
Publisher
Association for Computing Machinery (ACM)
Subject
Computer Networks and Communications,Human-Computer Interaction,Social Sciences (miscellaneous)
Link
https://dl.acm.org/doi/pdf/10.1145/3549491
Reference92 articles.
1. Noora Aldenaini Felwah Alqahtani Rita Orji and Sampalli Srinivas. 2020. Trends in Persuasive Technologies for Physical Activity and Sedentary Behavior: A Systematic Review. Frontiers in Artificial Intelligence Journal for Human Learning and Behavior Change 21 Febraury 2020 (2020) 85. https://doi.org/10.3389/frai.2020.00007 10.3389/frai.2020.00007
2. Noora Aldenaini Felwah Alqahtani Rita Orji and Sampalli Srinivas. 2020. Trends in Persuasive Technologies for Physical Activity and Sedentary Behavior: A Systematic Review. Frontiers in Artificial Intelligence Journal for Human Learning and Behavior Change 21 Febraury 2020 (2020) 85. https://doi.org/10.3389/frai.2020.00007
3. Combining Behavior Change Intentions and User Types to Select Suitable Gamification Elements for Persuasive Fitness Systems
4. Maximilian Altmeyer , Gustavo F. Tondello , Antonio Krü ger, and Lennart E. Nacke . 2020. HexArcade: Predicting Hexad User Types By Using Gameful Applications . Proceedings of the the Annual Symposium on Computer-Human Interaction in Play (CHI Play-2020) ( 2020 ). Maximilian Altmeyer, Gustavo F. Tondello, Antonio Krü ger, and Lennart E. Nacke. 2020. HexArcade: Predicting Hexad User Types By Using Gameful Applications. Proceedings of the the Annual Symposium on Computer-Human Interaction in Play (CHI Play-2020) (2020).
5. Affect Recognition using Psychophysiological Correlates in High Intensity VR Exergaming
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