Dynamic Difficulty Adjustment With Brain Waves as a Tool for Optimizing Engagement
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arXiv
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866908326503120896 |
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| author | Cafri, Nir |
| author_facet | Cafri, Nir |
| contents | This study explores the use of electroencephalography (EEG)-based brain wave monitoring to enable dynamic difficulty adjustment (DDA) in a virtual reality (VR) gaming environment. Using the Task Engagement Index (TEI) derived from frontal EEG electrodes, we adapt game challenge levels in real time to maintain optimal player engagement. In a within-subject design with six participants, we found that the DDA condition significantly increased engagement duration by 19.79% compared to a non-DDA control condition. These results suggest that combining EEG, DDA, and VR technologies can enhance user experience and has potential applications in adaptive learning, rehabilitation, and personalized interfaces. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_13965 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Dynamic Difficulty Adjustment With Brain Waves as a Tool for Optimizing Engagement Cafri, Nir Human-Computer Interaction Neural and Evolutionary Computing Neurons and Cognition H.5.2; I.2.1 This study explores the use of electroencephalography (EEG)-based brain wave monitoring to enable dynamic difficulty adjustment (DDA) in a virtual reality (VR) gaming environment. Using the Task Engagement Index (TEI) derived from frontal EEG electrodes, we adapt game challenge levels in real time to maintain optimal player engagement. In a within-subject design with six participants, we found that the DDA condition significantly increased engagement duration by 19.79% compared to a non-DDA control condition. These results suggest that combining EEG, DDA, and VR technologies can enhance user experience and has potential applications in adaptive learning, rehabilitation, and personalized interfaces. |
| title | Dynamic Difficulty Adjustment With Brain Waves as a Tool for Optimizing Engagement |
| topic | Human-Computer Interaction Neural and Evolutionary Computing Neurons and Cognition H.5.2; I.2.1 |
| url | https://arxiv.org/abs/2504.13965 |