ReTUXE: A framework for user's emotional evaluation based on psychophysiological measures

There is an increase of use of psychophysiological sensors to measure user's emotions. However, the evaluation after the user experience (not in real-time) can not represent her/his emotion, as these sensors can do. The purpose of this article is to present a framework to evaluate the hedonic user experience in real time, considering the user's emotion using psychophysiological measures. The proposed approach can be used by HCI professionals and intelligent systems, interested by information generated to "understand" the user experience and make decisions based on this information.

[1]  Ningjiu Tang,et al.  Effects of Display Characteristics on Presence and Emotional Responses of Game Players , 2015 .

[2]  Ludmila I. Kuncheva,et al.  Technological Advancements in Affective Gaming: A Historical Survey , 2014 .

[3]  Lei Zhou,et al.  Using Physiological Measures to Evaluate User Experience of Mobile Applications , 2014, HCI.

[4]  Virpi Roto,et al.  EVALUATING USER EXPERIENCE OF EARLY PRODUCT CONCEPTS , 2009 .

[5]  Georgios N. Yannakakis,et al.  Correlation between heart rate, electrodermal activity and player experience in first-person shooter games , 2010, Sandbox '10.

[6]  J. Cacioppo,et al.  Handbook Of Psychophysiology , 2019 .

[7]  J. Russell.  A circumplex model of affect. , 1980 .

[8]  Rosalind W. Picard.  Affective Computing for HCI , 1999, HCI.

[9]  David Lester Neumann,et al.  The psychophysiological measurement of empathy , 2011 .

[10]  Foglia Pierfrancesco,et al.  Towards Relating Physiological Signals to Usability Metrics: A Case Study with a Web Avatar , 2014 .

[11]  Eric N. Wiebe,et al.  Measuring engagement in video game-based environments: Investigation of the User Engagement Scale , 2014, Comput. Hum. Behav..

[12]  Hatice Gunes,et al.  Measuring Affective, Physiological and Behavioural Differences in Solo, Competitive and Collaborative Games , 2016, INTETAIN.

[13]  Jo Ueyama,et al.  Assessing users’ emotion at interaction time: a multimodal approach with multiple sensors , 2017, Soft Comput..

[14]  Christian Mühl,et al.  Valence, arousal and dominance in the EEG during game play , 2013, Int. J. Auton. Adapt. Commun. Syst..

[15]  Timo Partala,et al.  The combined walkthrough: measuring behavioral, affective, and cognitive information in usability testing , 2009 .

[16]  Camila Loiola Brito Maia,et al.  A study about psychophysiological measures in user experience monitoring and evaluation , 2016, IHC.

[17]  Camila Loiola Brito Maia,et al.  A Systematic Review About User Experience Evaluation , 2016, HCI.

[18]  Randy J. Pagulayan,et al.  User-centered design in games , 2012 .