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DC Field | Value | Language |
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dc.contributor.author | Martinez, Hector P. | - |
dc.contributor.author | Garbarino, Maurizio | - |
dc.contributor.author | Yannakakis, Georgios N. | - |
dc.date.accessioned | 2017-10-20T14:46:58Z | - |
dc.date.available | 2017-10-20T14:46:58Z | - |
dc.date.issued | 2011 | - |
dc.identifier.citation | Martinez, H. P., Garbarino, M., & Yannakakis, G. N. (2011). Generic physiological features as predictors of player experience. International Conference on Affective Computing and Intelligent Interaction, Memphis. 267-276. | en_GB |
dc.identifier.uri | https://www.um.edu.mt/library/oar//handle/123456789/22899 | - |
dc.description.abstract | This paper examines the generality of features extracted from heart rate (HR) and skin conductance (SC) signals as predictors of self-reported player affect expressed as pairwise preferences. Artificial neural networks are trained to accurately map physiological features to expressed affect in two dissimilar and independent game surveys. The performance of the obtained affective models which are trained on one game is tested on the unseen physiological and self-reported data of the other game. Results in this early study suggest that there exist features of HR and SC such as average HR and one and two-step SC variation that are able to predict affective states across games of different genre and dissimilar game mechanics. | en_GB |
dc.language.iso | en | en_GB |
dc.publisher | Springer | en_GB |
dc.rights | info:eu-repo/semantics/openAccess | en_GB |
dc.subject | Computer games | en_GB |
dc.subject | Human-computer interaction | en_GB |
dc.title | Generic physiological features as predictors of player experience | en_GB |
dc.type | conferenceObject | en_GB |
dc.rights.holder | The copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder. | en_GB |
dc.bibliographicCitation.conferencename | International Conference on Affective Computing and Intelligent Interaction | en_GB |
dc.bibliographicCitation.conferenceplace | Memphis, United States, 9-12/10/2011 | en_GB |
dc.description.reviewed | peer-reviewed | en_GB |
dc.identifier.doi | 10.1007/978-3-642-24600-5_30 | - |
Appears in Collections: | Scholarly Works - InsDG |
Files in This Item:
File | Description | Size | Format | |
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Generic_Physiological_Features_as_Predictors_of_Pl.pdf | 224.96 kB | Adobe PDF | View/Open |
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