This paper is in the following e-collection/theme issue:

Exergames, Active Games and Gamification of Physical Activity (180) Games and Gamification for Health (650) Serious Games for Health and Medicine (683) Game Design and Efficacy of Game Elements (86) Usability of Games and Gamification (70) User Needs Assessment for Games (17) Quality of Games (18) Instruments and Questionnaires for Physical Activity and Lifestyle (72)

Published on in Vol 9, No 2 (2021): Apr-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25771, first published .
User Experience With Dynamic Difficulty Adjustment Methods for an Affective Exergame: Comparative Laboratory-Based Study

User Experience With Dynamic Difficulty Adjustment Methods for an Affective Exergame: Comparative Laboratory-Based Study

User Experience With Dynamic Difficulty Adjustment Methods for an Affective Exergame: Comparative Laboratory-Based Study

Authors of this article:

Ali Darzi1 Author Orcid Image ;   Sean M McCrea2 Author Orcid Image ;   Domen Novak1 Author Orcid Image
Article Authors Cited by (16) Tweetations (3) Metrics

Journals

  1. Li X, Zeng H, Zhang J, Song A. Engagement Enhancement Based on Bayesian Optimization for Adaptive Assist-as-Needed Controller. IEEE Robotics and Automation Letters 2022;7(1):49 View
  2. Segundo Díaz R, Rovelo Ruiz G, Bouzouita M, Coninx K. Building blocks for creating enjoyable games—A systematic literature review. International Journal of Human-Computer Studies 2022;159:102758 View
  3. Paraschos P, Koulouriotis D. Game Difficulty Adaptation and Experience Personalization: A Literature Review. International Journal of Human–Computer Interaction 2023;39(1):1 View
  4. Novak V, Hass D, Hossain M, Sowers A, Clapp J. Effects of adaptation accuracy and magnitude in affect-aware difficulty adaptation for the multi-attribute task battery. International Journal of Human-Computer Studies 2024;183:103180 View
  5. Croissant M, Schofield G, McCall C. Theories, methodologies, and effects of affect-adaptive games: A systematic review. Entertainment Computing 2023;47:100591 View
  6. Xinru W. A novel jigsaw game with eye‐tracking: A multimodel interaction based on psycholinguistics for ADHD therapeutic. Computer Animation and Virtual Worlds 2023 View
  7. Ajani O, Mallipeddi R. Pareto-based Dynamic Difficulty Adjustment of a competitive exergame for arm rehabilitation. International Journal of Human-Computer Studies 2023;178:103100 View
  8. Chatterjee I, Goršič M, Hossain M, Clapp J, Novak V. Automated Classification of Dyadic Conversation Scenarios Using Autonomic Nervous System Responses. IEEE Transactions on Affective Computing 2023;14(4):3388 View
  9. da Silveira A, Lima de Souza M, Ghinea G, Saibel Santos C. Physiological Data for User Experience and Quality of Experience: A Systematic Review (2018–2022). International Journal of Human–Computer Interaction 2024:1 View
  10. Guo Z, Thawonmas R, Ren X. Rethinking dynamic difficulty adjustment for video game design. Entertainment Computing 2024;50:100663 View
  11. Guzmán D, Rengifo C, Guzmán J, Garcia Cena C. Virtual reality games for cognitive rehabilitation of older adults: a review of adaptive games, domains and techniques. Virtual Reality 2024;28(2) View
  12. Fisher N, Kulshreshth A. Exploring Dynamic Difficulty Adjustment Methods for Video Games. Virtual Worlds 2024;3(2):230 View
  13. Annisa Damastuti F, Firmansyah K, Miftachul Arif Y, Dutono T, Barakbah A, Hariadi M. Dynamic Level of Difficulties Using Q-Learning and Fuzzy Logic. IEEE Access 2024;12:137775 View
  14. Croissant M, Frister M, Schofield G, McCall C. Advancing Methodological Approaches in Affect-Adaptive Video Game Design: Empirical Validation of Emotion-Driven Gameplay Modification. International Journal of Human–Computer Interaction 2024:1 View

Books/Policy Documents

  1. Novak V, Koenig A, Riener R. Neurorehabilitation Technology. View
  2. Borawska A, Mateja A. Advances in Information Systems Development. View