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Quake Delirium EEG
Altered states of consciousness (ASC) can be represented in video games through appropriate use of sound and computer graphics. Our research seeks to establish systematic methods for simulating ASC using computer sound and graphics, to improve the realism of ASC representations in video game engines. Quake Delirium is a prototype ‘ASC Simulation’ that we have created by modifying the video game Quake. Through automation of various graphical parameters that represent the conscious state of the game character, hallucinatory ASC are represented. While the initial version of Quake Delirium utilised a pre-determined automation path to produce these changes, we propose that immersion may be improved by providing the user with a ‘passive’ method of control, using a brain-computer interface (BCI). In this initial trial, we explore the use of a consumer-grade electroencephalograph (EEG) headset for this purpose.
Quake Delirium EEG
Altered states of consciousness (ASC) can be represented in video games through appropriate use of sound and computer graphics. Our research seeks to establish systematic methods for simulating ASC using computer sound and graphics, to improve the realism of ASC representations in video game engines. Quake Delirium is a prototype ‘ASC Simulation’ that we have created by modifying the video game Quake. Through automation of various graphical parameters that represent the conscious state of the game character, hallucinatory ASC are represented. While the initial version of Quake Delirium utilised a pre-determined automation path to produce these changes, we propose that immersion may be improved by providing the user with a ‘passive’ method of control, using a brain-computer interface (BCI). In this initial trial, we explore the use of a consumer-grade electroencephalograph (EEG) headset for this purpose.
Quake Delirium EEG
Weinel, Jonathan (Autor:in) / Cunningham, Stuart (Autor:in) / Roberts, Nathan (Autor:in) / Griffiths, Darryl (Autor:in) / Roberts, Shaun (Autor:in)
01.09.2015
1537833 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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