A Framework for the Automatic Adaptation of Serious Games Considering Player Emotions and Personality Traits
Abstract
The use of serious games in various contexts aims to make an activity or process more attractive to the user. In this context, player involvement is a factor of great importance for the success of the computational application. This feature provides a challenging scenario, where the use of Affective Computing techniques can have numerous benefits by allowing the automatic adaptation of the game according to the user's emotional state. The scientific literature presents several studies in this regard, however, the use of this information may be effective in identifying when to perform an adaptation in the game, but maybe insufficient to define an adaptation that meets the individual needs of each user. To optimize this process, this research proposes the improvement of an Affective Computing framework by including the identification of the user's personality traits to offer adaptations that consider not only the emotional state but also the characteristics of each individual.
Keywords:
Affective Computing, Personality Traits, Serious Games
References
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Renan V Aranha, Leonardo S Silva, Marcos L Chaim, and Fátima LS Nunes. 2017. Using Affective Computing to automatically adapt serious games for rehabilitation. In 30th International Symposium on ComputerBased Medical Systems. IEEE.
Mihaly Csikszentmihalyi. 1990. FLOW: The Psychology of Optimal Experience. Harper and Row (1990).
Vitor Garcia dos Santos, Ivandré Paraboni, and Barbara Barbosa Claudino Silva. 2017. Big Five Personality Recognition from Multiple Text Genres. In International Conference on Text, Speech, and Dialogue. Springer, 29–37.
Laura Freina and Michela Ott. 2015. A literature review on immersive virtual reality in education: state of the art and perspectives. In The International Scientific Conference eLearning and Software for Education, Vol. 1. "Carol I"National Defence University, 133.
Cristiane M Gebara, Tito P de Barros-Neto, Leticia Gertsenchtein, and Francisco Lotufo-Neto. 2016. Virtual reality exposure using threedimensional images for the treatment of social phobia. Revista Brasileira de Psiquiatria 38, 1 (2016), 24–29.
Rahul Katarya and Om Prakash Verma. 2016. Recent developments in affective recommender systems. Physica A: Statistical Mechanics and its Applications 461 (2016), 182–190.
Carlos Alberto Lara, Juan Flores, Hugo Mitre-Hernandez, and Humberto Perez. 2018. Induction of Emotional States in Educational Video Games through a Fuzzy Control System. IEEE Transactions on Affective Computing (2018), 1–1. https://doi.org/10.1109/taffc.2018.2840988
Mindy F Levin, Patrice L Weiss, and Emily A Keshner. 2015. Emergence of virtual reality as a tool for upper limb rehabilitation: incorporation of motor control and motor learning principles. Physical therapy 95, 3 (2015), 415–425.
Preslav Nakov, Alan Ritter, Sara Rosenthal, Fabrizio Sebastiani, and Veselin Stoyanov. 2016. SemEval-2016 task 4: Sentiment analysis in Twitter. Proceedings of SemEval (2016), 1–18.
Alvaro Ortigosa, Rosa M Carro, and José Ignacio Quiroga. 2014. Predicting user personality by mining social interactions in Facebook. Journal of computer and System Sciences 80, 1 (2014), 57–71.
B. Y. Pratama and R. Sarno. 2015. Personality classification based on Twitter text using Naive Bayes, KNN and SVM. In 2015 International Conference on Data and Software Engineering (ICoDSE). 170–174. https://doi.org/10.1109/ICODSE.2015.7436992
Ramon Gouveia Rodrigues, Rafael Marques das Dores, Celso G CamiloJunior, and Thierson Couto Rosa. 2016. SentiHealth-Cancer: A sentiment analysis tool to help detecting mood of patients in online social networks. International journal of medical informatics 85, 1 (2016), 80–95.
Olga C Santos, Jesus G Boticario, and Ángeles Manjarrés-Riesco. 2014. An approach for an affective educational recommendation model. In Recommender Systems for Technology Enhanced Learning. Springer, 123–143.
Olga C Santos, Mar Saneiro, Jesus G Boticario, and MC RodriguezSanchez. 2016. Toward interactive context-aware affective educational recommendations in computer-assisted language learning. New Review of Hypermedia and Multimedia 22, 1-2 (2016), 27–57.
A. Vinciarelli and G. Mohammadi. 2014. A Survey of Personality Computing. IEEE Transactions on Affective Computing 5, 3 (July 2014), 273–291. https://doi.org/10.1109/TAFFC.2014.2330816
Timothy D. Wilson and Daniel T. Gilbert. 2008. Explaining Away: A Model of Affective Adaptation. Perspectives on Psychological Science 3, 5 (2008), 370–386. https://doi.org/10.1111/j.1745-6924.2008.00085.x arXiv:https://doi.org/10.1111/j.1745-6924.2008.00085.x PMID: 26158955.
Published
2019-10-11
How to Cite
ARANHA, Renan; NUNES, Fátima.
A Framework for the Automatic Adaptation of Serious Games Considering Player Emotions and Personality Traits. In: WORKSHOP OF THESIS AND DISSERTATIONS - DOCTOR DEGREE - BRAZILIAN SYMPOSIUM ON HUMAN FACTORS IN COMPUTATIONAL SYSTEMS (IHC), 18. , 2019, Vitória.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2019
.
p. 162-165.
DOI: https://doi.org/10.5753/ihc.2019.8422.
