E. Siqueira, Thiago A. A. Santos, C. Castanho, R. Jacobi
{"title":"Estimating Player Experience from Arousal and Valence Using Psychophysiological Signals","authors":"E. Siqueira, Thiago A. A. Santos, C. Castanho, R. Jacobi","doi":"10.1109/SBGAMES.2018.00022","DOIUrl":null,"url":null,"abstract":"This work proposes a process for an assessment of Player Experience. In a simple way, the emotions are extracted according to arousal and valence values using a bi-dimensional model of affective states. The proposed process obtains affective states from two psychophysiological signals (Facial Expressions and Electrodermal Activity). Standard methods and Principal Component Analysis were used to extract a set of features from the collected signals. In this paper we propose to model a fuzzy system to assess Player Experience.","PeriodicalId":170922,"journal":{"name":"2018 17th Brazilian Symposium on Computer Games and Digital Entertainment (SBGames)","volume":"157 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 17th Brazilian Symposium on Computer Games and Digital Entertainment (SBGames)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SBGAMES.2018.00022","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
This work proposes a process for an assessment of Player Experience. In a simple way, the emotions are extracted according to arousal and valence values using a bi-dimensional model of affective states. The proposed process obtains affective states from two psychophysiological signals (Facial Expressions and Electrodermal Activity). Standard methods and Principal Component Analysis were used to extract a set of features from the collected signals. In this paper we propose to model a fuzzy system to assess Player Experience.