Title :
Reusable framework for the development of adaptive games
Author :
Szegletes, Luca ; Forstner, Bertalan
Author_Institution :
Dept. of Autom. & Appl. Inf., Budapest Univ. of Technol. & Econ., Budapest, Hungary
Abstract :
This paper presents a procedure for integrating physiological signals (and EEG in particular) into gameplay on a mobile device. In HCI (Human-Computer Interaction) research there is a great interest in what the next innovation in game interaction will be - many are betting on physiological input; others on user-based game adaptation. Thus this paper combines both approaches and addresses user-based adaptation from physiological signals. We have designed a reusable, flexible and generalizable framework for mobile physiological games with the aim for supporting adaptive game development. The research mostly focuses on educational games for children with dyslexia. Our primary purpose is to improve the efficiency of these applications by improving educational learning in children.
Keywords :
computer aided instruction; computer games; electroencephalography; human computer interaction; medical disorders; mobile computing; EEG; HCI; adaptive games development; children; dyslexia; educational games; educational learning; game interaction; human-computer interaction; mobile device; mobile physiological game; physiological signal; reusable framework; user-based game adaptation; Electroencephalography; Games; Mobile handsets; Physiology; Pipelines; Sensors; Signal processing;
Conference_Titel :
Cognitive Infocommunications (CogInfoCom), 2013 IEEE 4th International Conference on
Conference_Location :
Budapest
Print_ISBN :
978-1-4799-1543-9
DOI :
10.1109/CogInfoCom.2013.6719173