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dc.contributor.authorZiYue, Wangen_US
dc.contributor.authorMinamizawa, Koutaen_US
dc.contributor.authorPai, Yun Suenen_US
dc.contributor.editorTheophilus Teoen_US
dc.contributor.editorRyota Kondoen_US
dc.date.accessioned2022-11-29T07:23:46Z
dc.date.available2022-11-29T07:23:46Z
dc.date.issued2022
dc.identifier.isbn978-3-03868-192-2
dc.identifier.issn1727-530X
dc.identifier.urihttps://doi.org/10.2312/egve.20221298
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/egve20221298
dc.description.abstractGames generally require a certain level of skill to control the avatar. However, this can also potentially lead to frustration since there is no way for a game to truly adapt to the player's skill during gameplay. We propose the PhysioSense controller, a custom designed gamepad controller that senses the player's electrodermal activity (EDA), heart rate, and motion to compute their cognitive load level in real-time and trigger a haptic feedback during key events in the game. The haptic feedback is delivered via subtle actuation on the button, allowing the player to still retain their sense of agency. We performed an initial evaluation on the PhysioSense Controller using a platforming action game with three custom difficulty levels. We found that there was a clear physiological and motion response to the presented difficulties, and that the player's behavior changes to adapt to them. We believe that our system can potentially make more players enjoy most games in the future regardless of presented difficulty.en_US
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Computing methodologies -> Collision detection; Hardware -> Sensors and actuators; PCB design and layout
dc.subjectComputing methodologies
dc.subjectCollision detection
dc.subjectHardware
dc.subjectSensors and actuators
dc.subjectPCB design and layout
dc.titlePhysioSense Controller: Self-Actuating Button Based on Player Physiology for Improved Avatar Controlen_US
dc.description.seriesinformationICAT-EGVE 2022 - International Conference on Artificial Reality and Telexistence and Eurographics Symposium on Virtual Environments - Posters and Demos
dc.description.sectionheadersPosters
dc.identifier.doi10.2312/egve.20221298
dc.identifier.pages23-24
dc.identifier.pages2 pages


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Attribution 4.0 International License
Except where otherwise noted, this item's license is described as Attribution 4.0 International License