by Lennart E Nacke, Michael Kalyn, Calvin Lough, Regan L Mandryk
Abstract:
Prior work on physiological game interaction has focused on dynamically adapting games using physiological sensors. In this paper, we propose a classification of direct and indirect physiological sensor input to augment traditional game control. To find out which sensors work best for which game mechanics, we conducted a mixed-methods study using different sensor mappings. Our results show participants have a preference for direct physiological control in games. This has two major design implications for physiologically controlled games: (1) Direct physiological sensors should be mapped intuitively to reflect an action in the virtual world; (2) Indirect physiological input is best used as a dramatic device in games to influence features altering the game world.
Reference:
Biofeedback Game Design: Using Direct and Indirect Physiological Control to Enhance Game Interaction (Lennart E Nacke, Michael Kalyn, Calvin Lough, Regan L Mandryk), In Proceedings of CHI 2011, ACM, 2011.
Bibtex Entry:
@inproceedings{Nacke2011a,
abstract = {Prior work on physiological game interaction has focused on dynamically adapting games using physiological sensors. In this paper, we propose a classification of direct and indirect physiological sensor input to augment traditional game control. To find out which sensors work best for which game mechanics, we conducted a mixed-methods study using different sensor mappings. Our results show participants have a preference for direct physiological control in games. This has two major design implications for physiologically controlled games: (1) Direct physiological sensors should be mapped intuitively to reflect an action in the virtual world; (2) Indirect physiological input is best used as a dramatic device in games to influence features altering the game world.},
address = {Vancouver, BC, Canada},
author = {Nacke, Lennart E and Kalyn, Michael and Lough, Calvin and Mandryk, Regan L},
booktitle = {Proceedings of CHI 2011},
doi = {10.1145/1978942.1978958},
file = {::},
keywords = {affective computing,affective gaming,biofeedback,entertainment,games,physiological input,psychophysiology},
mendeley-tags = {affective computing,affective gaming,biofeedback,entertainment,games,physiological input,psychophysiology},
pages = {103--112},
publisher = {ACM},
title = {{Biofeedback Game Design: Using Direct and Indirect Physiological Control to Enhance Game Interaction}},
url = {http://doi.acm.org/10.1145/1978942.1978958},
year = {2011}
}