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Messen von Flow mit EEG in Computerspielen


Hugentobler, Urs. Messen von Flow mit EEG in Computerspielen. 2011, University of Zurich, Faculty of Economics.

Abstract

Many activities can create flow. In his in-depth analysis Mihaly Csikszentmihalyi has found a number of factors common to activities creating flow, one being that a person's abilities optimally align with the challenges set by the task. This combined with other factors enables individuals to be so deeply absorbed in an activity that they do not only blend out their environment and their self but also lose all sense of time. There exist various methods to measure flow. The downside of existing procedures is, however, that they require an extensive range of equipment. Another disadvantage is that interviewing test subjects about their flow experience during the experiment naturally interrupts their flow.Within the framework of this research project a learning programme has been developed that allows its user to be in flow. While the user is in flow, a newly developed measurement method will record EEG signals that permit conclusions on the flow state without actually drawing the test subject out of it. This will then allow to empirically establish a causal link between flow and success in learning.

Abstract

Many activities can create flow. In his in-depth analysis Mihaly Csikszentmihalyi has found a number of factors common to activities creating flow, one being that a person's abilities optimally align with the challenges set by the task. This combined with other factors enables individuals to be so deeply absorbed in an activity that they do not only blend out their environment and their self but also lose all sense of time. There exist various methods to measure flow. The downside of existing procedures is, however, that they require an extensive range of equipment. Another disadvantage is that interviewing test subjects about their flow experience during the experiment naturally interrupts their flow.Within the framework of this research project a learning programme has been developed that allows its user to be in flow. While the user is in flow, a newly developed measurement method will record EEG signals that permit conclusions on the flow state without actually drawing the test subject out of it. This will then allow to empirically establish a causal link between flow and success in learning.

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Additional indexing

Item Type:Dissertation
Referees:Schauer Helmut, Mandl Heinz
Communities & Collections:03 Faculty of Economics > Department of Informatics
Dewey Decimal Classification:000 Computer science, knowledge & systems
Language:German
Date:2011
Deposited On:20 Mar 2012 08:43
Last Modified:05 Apr 2016 15:44
Number of Pages:196
Related URLs:http://opac.nebis.ch/F/?local_base=NEBIS&CON_LNG=GER&func=find-b&find_code=SYS&request=006912440
Other Identification Number:merlin-id:6560

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