EEG-triggered dynamic difficulty adjustment for multiplayer games
| Autor: | Adi Stein, Yair Yotam, Guy Shani, Meirav Taieb-Maimon, Rami Puzis |
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| Rok vydání: | 2018 |
| Předmět: |
medicine.diagnostic_test
Computer science Headset 05 social sciences ComputingMilieux_PERSONALCOMPUTING 020207 software engineering 02 engineering and technology Electroencephalography Human-Computer Interaction Human–computer interaction 0202 electrical engineering electronic engineering information engineering medicine 0501 psychology and cognitive sciences 050107 human factors Software |
| Zdroj: | Entertainment Computing. 25:14-25 |
| ISSN: | 1875-9521 |
| Popis: | In online games, gamers may become frustrated when playing against stronger players or get bored when playing against weaker players, thus losing interest in the game. Dynamic Difficulty Adjustment (DDA) has been suggested as an intelligent handicapping mechanism, by reducing the difficulty for the weaker player, or increasing the difficulty for the stronger player. A key question when using DDA, is when to activate the difficulty adjustment. In this paper we suggest using the Emotiv EPOC EEG headset to monitor the personal excitement level of a player and use this information to trigger DDA when the player’s excitement decreases in order to ensure that the player is engaged and enjoying the game. We experiment with an open-source third-person shooter game, in a multiplayer adversarial setting. We conduct experiments, showing that the detected excitement patterns correlate to game events. Experiments designed to evaluate the DDA triggering mechanism confirm that DDA triggered based on EEG increases the players excitement and improves the gaming experience compared to the heuristic triggered DDA and the experience of playing a game without DDA. |
| Databáze: | OpenAIRE |
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