A Systematic Mapping on Player’s Profiles: Motivations, Behavior, and Personality Characteristics

Authors

DOI:

https://doi.org/10.5753/jis.2022.2572

Keywords:

player types, player profiles, typology, taxonomy, engagement, player motivations, player behavior, personality characteristics, digital games, gamified systems

Abstract

Digital games have become part of the daily life of a large part of the world population, reaching audiences of different ages, genders, and cultures. Games are also becoming an increasingly explored research topic in Human-Computer Interaction (HCI), and several studies have sought to deepen the knowledge about players, identifying individual differences. Although the literature is rich in works that typify and classify players, the lack of objective comparisons can make it difficult to adopt such types to support game design or future research. Thus, this research investigates players' taxonomies and typologies regarding their motivations, behavior, and personality characteristics, analyzing how they explore these traits. We conducted a systematic mapping of the literature and analyzed 19 studies that propose or update players' types, observing how they explore the above mentioned traits. The main contribution of this paper is to offer an overview of the identified taxonomies and typologies, comparing them and mapping their attributes and applications. Such knowledge is a tool for designing games and gamified systems and can support game designers to promote engagement and motivation in complementary ways in their games. It also allows researchers and practitioners to compose a multidimensional view of the different players' types.

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References

Adisusilo, A. K., Hariadi, M., Yuniarno, E. M., and Purwantana, B. (2020). Optimizing player engagement in an immersive serious game for soil tillage base on pareto optimal strategies. Heliyon, 6(3):e03613.

Aksakal, N. (2015). Theoretical view to the approach of the edutainment. Procedia Social and Behavioral Sciences, 186:1232–1239.

Alankus, G., Lazar, A., May, M., and Kelleher, C. (2010). Towards customizable games for stroke rehabilitation. In Proceedings of the SIGCHI conference on human factors in computing systems, pages 2113–2122.

Apperley, T. H. (2006). Genre and game studies: Toward a critical approach to video game genres. Simulation & Gaming, 37(1):6–23.

Attfield, S., Kazai, G., Lalmas, M., and Piwowarski, B. (2011). Towards a science of user engagement (position paper). In WSDM workshop on user modelling for Web applications, pages 9–12.

Bahrini, M., Zargham, N., Pfau, J., Lemke, S., Sohr, K., and Malaka, R. (2020). Good vs. evil: Investigating the effect of game premise in a smart home security educational game. In Extended Abstracts of the 2020 Annual Symposium on Computer-Human Interaction in Play, pages 182–187.

Bailey, K. D. (1994). Typologies and taxonomies: An introduction to classification techniques, volume 102. Sage.

Barata, G., G. S. (2014). Relating gaming habits with student performance in a gamified learning experience. Proceedings of the first ACM SIGCHI annual symposium on Computer-human interaction in play, page 17–25.

Barbosa, S. D. J., Silva, B. S. d., Silveira, M. S., Gasparini, I., Darin, T., and Barbosa, G. D. J. (2021). Interação Humano-Computador e Experiência do Usuário. Autopublicação.

Bartle, R. (1996). Hearts, clubs, diamonds, spades: Players who suit muds. Journal of MUD research, 1(1):19.

Bateman, C., Lowenhaupt, R., Nacke, L. E., et al. (2011). Player typology in theory and practice. In DiGRA Conference.

Benlamine, M. S., Dombouya, R., Dufresne, A., and Frasson, C. (2017). Game experience and brain-based assessment of motivational goal orientations in video games. In International Conference on Brain Function Assessment in Learning, pages 118–132. Springer.

Bicalho, L. F., Baffa, A., and Feijó, B. (2019). A game analytics model to identify player profiles in singleplayer games. In 2019 18th Brazilian Symposium on Computer Games and Digital Entertainment (SBGames), pages 11–20. IEEE.

Bitrián, P., Buil, I., and Catalán, S. (2021). Enhancing user engagement: The role of gamification in mobile apps. Journal of Business Research, 132:170–185.

Bjork, S. and Holopainen, J. (2004). Patterns in game design (game development series). Charles River Media, Inc.

Blizzard, A. (2021). Social connection in a virtual world. [link] (Accessed in 12/20/2021).

Bontchev, B., Vassileva, D., AleksievaPetrova, A., and Petrov, M. (2018). Playing styles based on experiential learning theory. Computers in Human Behavior, 85:319–328.

Borges, J. B., Juy, C. L., de Andrade Matos, I. S., Silveira, P. V. A., and Darin, T. d. G. R. (2020). Player experience evaluation: Which instrument should I use? Journal on Interactive Systems, 11(1):74–91.

Boyle, E. A., Hainey, T., Connolly, T. M., Gray, G., Earp, J., Ott, M., Lim, T., Ninaus, M., Ribeiro, C., and Pereira, J. (2016). An update to the systematic literature review of empirical evidence of the impacts and outcomes of computer games and serious games. Computers & Education, 94:178–192.

Brühlmann, F., Baumgartner, P., Wallner, G., Kriglstein, S., and Mekler, E. D. (2020). Motivational profiling of league of legends players. Frontiers in Psychology, 11:1307.

Busch, M., Mattheiss, E. E., Hochleitner, W., Hochleitner, C., Lankes, M., Fröhlich, P., Orji, R., and Tscheligi,M. (2016). Using player type models for personalized game design-An empirical investigation. IxD&A, 28:145–163.

Cairns, P. (2016). Engagement in Digital Games, pages 81–104. Springer International Publishing, Cham.

Calegari, G. R. and Celino, I. (2018). Interplay of game incentives, player profiles and task difficulty in games with a purpose. In European Knowledge Acquisition Workshop, pages 306–321. Springer.

Carneiro, N., Darin, T., and Viana, W. (2019). What are we talking about when we talk about location-based games evaluation? a systematic mapping study. In Proceedings of the 18th Brazilian Symposium on Human Factors in Computing Systems, pages 1–13.

Chandra, A., Borbora, Z., Kumaraguru, P., and Srivastava, J. (2019). Finding your social space: empirical study of social exploration in multiplayer online games. In 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), pages 1072–1080. IEEE.

Chapman, P. M. (1997). Models of engagement: Intrinsically motivated interaction with multimedia learning software. PhD thesis, University of Waterloo.

Cheng, M.T., She, H.C., and Annetta, L. A. (2015). Game immersion experience: its hierarchical structure and impact on gamebased science learning. Journal of computer assisted learning, 31(3):232–253.

Da Silva, R. B. (2013). Taxonomie et typologie: est ce vraiment des synonymes? Santé publique, 25(5):633–637.

Darin, T. and Carneiro, N. (2020). Avaliacão de fatores humanos na interacão com jogos digitais. In 2020 19th Brazilian Symposium on Computer Games and Digital Entertainment (SBGames), pages 1120–1123. SBC – Proceedings of SBGames 2020 — ISSN: 21792259.

de Souza Filho, J. C., Sampaio, A. L., Monteiro, I. T., and Jucá, P. M. (2019). Exploring how expert and novice evaluators perceive g4h to consolidate heuristic evaluation. In Proceedings of the 18th Brazilian Symposium on Human Factors in Computing Systems, IHC ’19, New York, NY, USA. Association for Computing Machinery.

Doherty, K. and Doherty, G. (2018). Engagement in hci: conception, theory and measurement. ACM Computing Surveys (CSUR), 51(5):1–39.

Doty, D. H. and Glick, W. H. (1994). Typologies as a unique form of theory building: Toward improved understanding and modeling. Academy of management review, 19(2):230–251.

Drachen, A., Canossa, A., and Yannakakis, G. N. (2009). Player modeling using selforganization in tomb raider: Underworld. In 2009 IEEE symposium on computational intelligence and games, pages 1–8. IEEE.

Drachen, A., MirzaBabaei, P., and Nacke, L. E. (2018). Games user research. Oxford University Press.

Evelin, A. D., da Silva, K. C., Neves, O. F., Ishitani, L., and Nobre, C. N. (2016). Emotional experience of older adults with digital games for smartphones: a case study of the brazilian game viajando pelo mundo. In Proceedings of the 15th Brazilian Symposium on Human Factors in Computing Systems, pages 1–9.

Facebook IQ, M. (2019). Strategic considerations for mobile gaming engagement campaigns. [link] (Accessed in 12/20/2021).

Fortes Tondello, G., Valtchanov, D., Reetz, A., Wehbe, R. R., Orji, R., and Nacke, L. E. (2018). Towards a trait model of video game preferences. International Journal of Human–Computer Interaction, 34(8):732–748.

Gee, J. P. (2005). Pleasure, learning, video games, and life: The projective stance. ELearning and Digital Media, 2(3):211–223.

Goldberg, L. R. et al. (1999). A broad bandwidth, public domain, personality inventory measuring the lower-level facets of several five factor models. Personality psychology in Europe, 7(1):7–28.

Google (2019). Change the game: Driving inclusivity and belonging in gaming. [link] (Accessed in 12/20/2021).

Gow, J., Baumgarten, R., Cairns, P., Colton, S., and Miller, P. (2012). Unsupervised modeling of player style with lda. IEEE Transactions on Computational Intelligence and AI in Games, 4(3):152–166.

Grace, L. (2005). Game type and game genre. Retrieved February, 22(2009):8.

Hamari, J. and Tuunanen, J. (2014). Player types: A meta synthesis.

Hedden, H. (2010). The accidental taxonomist.

Herrington, N. and Coogan, J. (2011). Q methodology: an overview. Research in Teacher Education, 1(2):24–28.

Hookham, G. and Nesbitt, K. (2019). A systematic review of the definition and measurement of engagement in serious games. In Proceedings of the Australasian Computer Science Week Multiconference, pages 1–10.

Hunicke, R., LeBlanc, M., and Zubek, R. (2004). MDA: A formal approach to game design and game research. In Proceedings of the AAAI Workshop on Challenges in Game AI, volume 4, page 1722. San Jose, CA.

Järvinen, A. (2009). Games without frontiers: methods for game studies and design. VDM, Verlag Dr. Müller.

Kahn, A. S., Shen, C., Lu, L., Ratan, R. A., Coary, S., Hou, J., Meng, J., Osborn, J., and Williams, D. (2015). The trojan player typology: A crossgenre, crosscultural, behaviorally validated scale of video game play motivations. Computers in Human Behavior, 49:354–361.

Keirsey, D. (1998). Please understand me II: Temperament, character, intelligence. Prometheus Nemesis Book Company.

Kitchenham, B. A., Budgen, D., and Brereton, O. P. (2010). The value of mapping studies: a participant observer case study. In EASE, volume 10, pages 25–33.

Klock, A. C. T., Flores, T. H., Gasparini, I., and da Silva Hounsell, M. (2016). Classificação de jogadores: um mapeamento sistemático da literatura. Anais do Simpósio Brasileiro de Jogos e Entretenimento Digital. Porto Alegre: SBC.

Kultima, A. (2015). Game design research. In Proceedings of the 19th International Academic Mindtrek Conference, pages 18–25.

Laurel, B. (2013). Computers as theatre. Addison Wesley, 2. edition.

Lessiter, J., Freeman, J., Keogh, E., and Davidoff, J. (2001). A cross-media presence questionnaire: The ITC sense of presence inventory. Presence: Teleoperators & Virtual Environments, 10(3):282–297.

Liu, X., Kasmarik, K., and Abbass, H. (2021). Assessing player profiles of achievement, affiliation, and power motivation using electroencephalography. IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Liu, X., Merrick, K., and Abbass, H. (2017). Toward electroencephalographic profiling of player motivation: A survey. IEEE Transactions on Cognitive and Developmental Systems, 10(3):499–513.

MacKenzie, I. S. (2013). Human-Computer Interaction: An Empirical Research Perspective. Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, 1st edition.

Martins, G., Gomes, G., Conceição, J. L., Marques, L., Silva, D. d., Castro, T., Gadelha, B., and de Freitas, R. (2020). Enhanced interaction: Audience engagement in entertainment events through the bumbometer app. In Proceedings of the 19th Brazilian Symposium on Human Factors in Computing Systems, IHC ’20, New York, NY, USA. Association for Computing Machinery.

Melhart, D., Azadvar, A., Canossa, A., Liapis, A., and Yannakakis, G. N. (2019). Your gameplay says it all: modelling motivation in tom clancy’s the division. In 2019 IEEE Conference on Games (CoG), pages 1–8. IEEE.

Mendoza, Y. L. M. and Baranauskas, M. C. C. (2019). Tangitime: designing a (socio) enactive experience for deep time in an educational exhibit. In Proceedings of the 18th Brazilian Symposium on Human Factors in Computing Systems, pages 1–11.

Miranda, D., Li, C., and Darin, T. (2021). Uesbr: Translation and crosscultural adaptation of the user engagement scale for brazilian portuguese. Proceedings of the ACM on Human-Computer Interaction, 5(CHI PLAY):1–22.

Miranda, P., Viana, J., Nascimento, E., and Portela, C. (2019). O uso de estratégias de gamificação em uma disciplina de ihc: Um relato de experiência. In Anais Estendidos do XVIII Simpósio Brasileiro sobre Fatores Humanos em Sistemas Computacionais, pages 94–99. SBC.

Nacke, L. E., Bateman, C., and Mandryk, R. L. (2014). Brainhex: A neurobiological gamer typology survey. Entertainment computing, 5(1):55–62.

NISO, N. I. S. O. (2010). Guidelines for the construction, format, and management of monolingual controlled vocabularies. NISO Press, Baltimore, Maryland.

O’Brien, H. and Cairns, P. (2016). Why engagement matters: Crossdisciplinary perspectives of user engagement in digital media. Springer.

O’Brien, H. L. and Toms, E. G. (2008). What is user engagement? a conceptual framework for defining user engagement with technology. Journal of the American society for Information Science and Technology, 59(6):938–955.

O’Brien, H. L. and Toms, E. G. (2010). The development and evaluation of a survey to measure user engagement. Journal of the American Society for Information Science and Technology, 61(1):50–69.

Orhan Göksün, D. and Gürsoy, G. (2019). Comparing success and engagement in gamified learning experiences via kahoot and quizizz. Computers Education, 135:15–29.

Orji, R., Nacke, L. E., and Di Marco, C. (2017). Towards personality driven persuasive health games and gamified systems. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, pages 1015–1027.

O’Brien, H. L., Cairns, P., and Hall, M. (2018). A practical approach to measuring user engagement with the refined user engagement scale (ues) and new ues short form. International Journal of Human-Computer Studies, 112:28–39.

Paulin, R. E. (2013). Mapeamento das relações entre perfis de jogadores, tipos psicológicos, emoções e componentes de jogos eletrônicos.

Petersen, K., Vakkalanka, S., and Kuzniarz, L. (2015). Guidelines for conducting systematic mapping studies in software engineering: An update. Information and Software Technology, 64:1–18.

Rodrigues, L. A. and Brancher, J. D. (2018). Improving players’ profiles clustering from game data through feature extraction. In 2018 17th Brazilian Symposium on Computer Games and Digital Entertainment (SBGames), pages 177–17709. IEEE.

Rozen, R. V. (2020). Languages of games and play: A systematic mapping study. ACM Computing Surveys (CSUR), 53(6):1–37.

Santos, C. Q., Müller, L., Ziesemer, A. C., Espindola, L. S., Pires, P. A., and Silveira, M. S. (2015). How can i help you? preliminary studies about user strategies and preferences during a game. In Proceedings of the 14th Brazilian Symposium on Human Factors in Computing Systems, pages 1–4.

Schell, J. (2020). The art of game design: a book of lenses.

Schuurman, D., De Moor, K., De Marez, L., and Van Looy, J. (2008). Fanboys, competers, escapists and timekillers: a typology based on gamers’ motivations for playing video games. In Proceedings of the 3rd international conference on Digital Interactive Media in Entertainment and Arts, pages 46–50.

Shen, Y. S., Choi, H. C., Joppe, M., and Yi, S. (2020). What motivates visitors to participate in a gamified trip? A player typology using q methodology. Tourism Management, 78:104074.

Si, C., Pisan, Y., Tan, C. T., and Shen, S. (2017). An initial understanding of how game users explore virtual environments. Entertainment Computing, 19:13–27.

Silva, A. J., Romeiro, T. V., and Nobre, C. N. (2020). Evaluation of digital games for autistic children using heuristics and observation tests. In Proceedings of the 19th Brazilian Symposium on Human Factors in Computing Systems, pages 1–10.

Smith, K. B. (2002). Typologies, taxonomies, and the benefits of policy classification. Policy Studies Journal, 30(3):379–395.

Stefan, S., Alex, B., Shimin, K., and Valerie, S. (2017). A typology of players in the game physics playground. In DiGRA ཌྷ Proceedings of the 2017 DiGRA International Conference, Melbourne, Australia. Digital Games Research Association.

Stewart, B. (2011). Personality and play styles: A unified model. Gamasutra, September, 1.

Stone, P. (2002). Popping the (pico) question in research and evidence-based practice. Nurs Res, 15(3):197–198.

Toda, A., Klock, A. C. T., Palomino, P. T., Rodrigues, L., Oliveira, W., Stewart, C., Cristea, A. I., Gasparini, I., and Isotani, S. (2020). Gamicsm: relating education, culture and gamificationa link between worlds. In Proceedings of the 19th Brazilian Symposium on Human Factors in Computing Systems, pages 1–10.

Tondello, G. F., Arrambide, K., Ribeiro, G., Cen, A. J. l., and Nacke, L. E. (2019). “i don’t fit into a single type”: A trait model and scale of game playing preferences. In IFIP Conference on Human-Computer Interaction , pages 375–395. Springer.

Tondello, G. F., Wehbe, R. R., Orji, R., Ribeiro, G., and Nacke, L. E. (2017). A framework and taxonomy of videogame playing preferences. In Proceedings of the Annual Symposium on Computer-Human Interaction in Play, pages 329–340.

Vahlo, J., Kaakinen, J. K., Holm, S. K., and Koponen, A. (2017). Digital game dynamics preferences and player types. Journal of Computer Mediated Communication, 22(2):88–103.

Van Gaalen, A. E. J., SchönrockAdema, J., Renken, R. J., Jaarsma, A. D. C., and Georgiadis, J. R. (2022). Identifying player types to tailor gamebased learning design to learners: Crosssectional survey using q methodology. JMIR Serious Games, 10(2):e30464.

Vasconcelos, V., Amazonas, M., Castro, T., Freitas, R., and Gadelha, B. (2018). Watch or immerse? Redefining your role in big shows. In Proceedings of the 17th Brazilian Symposium on Human Factors in Computing Systems, IHC 2018, New York, NY, USA. Association for Computing Machinery.

Voulgari, I. and Komis, V. (2010). ‘Elven elder lvl59 lfp/rb. please pm me’: immersion, collaborative tasks and problem-solving in massively multiplayer online games. Learning, Media and Technology, 35(2):171–202.

Wang, M. and Nunes, M. B. (2020). A design research approach for iot gamification of museum visiting experiences. In 20th European Conference on Research Methodology for Business and Management Studies: ECRM 2020, page 309. Academic Conferences and publishing limited.

Weber, M. (1949). The methodology of the social sciences (e. schills & h. finch, trans.). Illinois: The Free Press of Glencoe.

Wiebe, E. N., Lamb, A., Hardy, M., and Sharek, D. (2014). Measuring engagement in video game-based environments: Investigation of the user engagement scale. Computers in Human Behavior, 32:123–132.

Xu, Y., Poole, E. S., Miller, A. D., Eiriksdottir, E., Kestranek, D., Catrambone, R., and Mynatt, E. D. (2012). This is not a one-horse race: understanding player types in multiplayer pervasive health games for youth. Proceedings of the ACM 2012 conference on computer supported cooperative work, pages 843–852.

Yee, N. (2006). Motivations for play in online games. Cyber Psychology & behavior, 9(6):772–775.

Yee, N. (2007). Motivations of play in online games. Journal of CyberPsychology and Behavior, pages 772–775.

Yee, N., Ducheneaut, N., Nelson, L., and Likarish, P. (2011). Introverted elves & conscientious gnomes: the expression of personality in world of warcraft. In Proceedings of the SIGCHI conference on human factors in computing systems, pages 753–762.

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Published

2022-10-20

How to Cite

CARNEIRO, N.; MIRANDA, D.; PEREIRA, G.; MENDONÇA, G.; DARIN, T. A Systematic Mapping on Player’s Profiles: Motivations, Behavior, and Personality Characteristics. Journal on Interactive Systems, Porto Alegre, RS, v. 13, n. 1, p. 257–273, 2022. DOI: 10.5753/jis.2022.2572. Disponível em: https://sol.sbc.org.br/journals/index.php/jis/article/view/2572. Acesso em: 6 feb. 2023.

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