DocumentCode :
240137
Title :
The design of a biofeedback framework for dynamic difficulty adjustment in games
Author :
Szegletes, Luca ; Koles, Mate ; Forstner, Bertalan
Author_Institution :
Dept. of Autom. & Appl. Inf., Budapest Univ. of Technol. & Econ., Budapest, Hungary
fYear :
2014
fDate :
5-7 Nov. 2014
Firstpage :
295
Lastpage :
299
Abstract :
The gamification of serious games is a successful and ongoing trend that aims to involve even the latest generation of users to help them improve certain cognitive abilities. A valid path of further improving such games would be through implementing real-time feedback from the users into certain gameplay aspects. Physiological signals can provide a direct route to the current state of the user without any overt interaction between the device and the player. Here we outline a framework that aims to dynamically adjust the difficulty of serious games based on physiological signals.
Keywords :
human factors; serious games (computing); biofeedback framework design; cognitive abilities; dynamic difficulty adjustment; gamification; physiological signals; real-time feedback; serious games; Biological control systems; Biomedical monitoring; Computer architecture; Games; Mobile handsets; Monitoring; Pipelines; biofeedback; difficulty adjustment; dynamic; flow; games; socio-cognitive ICT;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cognitive Infocommunications (CogInfoCom), 2014 5th IEEE Conference on
Conference_Location :
Vietri sul Mare
Type :
conf
DOI :
10.1109/CogInfoCom.2014.7020465
Filename :
7020465
Link To Document :
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