Design and Evaluation of Surprises in Simulation

dc.rights.license	CC-BY-NC-ND
dc.contributor.advisor	Herre van Oostendorp, H.v.O.
dc.contributor.advisor	Remco Veltkamp, R.V.
dc.contributor.advisor	Jelke van der Pal, J.v.d.P.
dc.contributor.author	Georgiadis, K.
dc.date.accessioned	2015-02-17T18:01:34Z
dc.date.available	2015-02-17T18:01:34Z
dc.date.issued	2015
dc.identifier.uri	https://studenttheses.uu.nl/handle/20.500.12932/19407
dc.description.abstract	This study presents a framework for designing surprises in simulation, and also methods and techniques for assessing their effects. The framework for designing surprises provides a categorization of surprises (task-(in) dependent cue-based, narrative-based or mixed). Assessing the effects of surprises is relevant for the design of training scenarios to tailor them to the target audience. The aim of this study was to examine: • Does exposure to surprises lead to improved handling of surprises? • Is a simple EEG (i.e. electroencephalogram) device useful for measuring players’ mental states in gaming situations? • Are there any differences between the framework’s surprise types?
dc.description.sponsorship	Utrecht University
dc.format.extent	7540408
dc.format.mimetype	application/pdf
dc.language.iso	en
dc.title	Design and Evaluation of Surprises in Simulation
dc.type.content	Master Thesis
dc.rights.accessrights	Open Access
dc.subject.keywords	EEG, EC, CC, M.A.P., VBS2, NeuroSkyLab, EEGLAB
dc.subject.courseuu	Game and Media Technology