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Empirical Studies on the Role of Matchmaking in Mobile Esports Player Engagement

  • Małgorzata Ćwil
  • Marcin Wardaszko
  • Kajetan Dąbrowski
  • Przemysław Chojecki
Chapter
Part of the Translational Systems Sciences book series (TSS, volume 18)

Abstract

The aim of this article is to analyze how matchmaking influences player engagement and satisfaction in mobile Esports games. In the first part, a definition of Esports is presented, and the pace with which the phenomenon is developing is described. In the next part, the literature review of the previously researched factors affecting players’ contentment is performed, taking into particular consideration matchmaking systems. Then, 17 most popular Esports mobile games are chosen for the analysis in terms of players’ satisfaction in the current matchmaking systems. In this part, the content of the most frequently used forums for players is analyzed. The analysis using netnography techniques is performed, and the players’ views about matchmaking mechanics in the chosen games are examined and discussed.

Keywords

Esports Matchmaking Mobile Esports 

Notes

Acknowledgments

This research is supported by the EU project Machine learning based matchmaking and anti-doping platform for mobile Esports games. Awarded to DaftMobile Ltd. and Nethone Ltd. as a part of the NATIONAL SMART SPECIALISATION number 19: SMART CREATIONAL TECHNOLOGIES, II GAMES program – GAMEINN. The project is aimed to develop an innovative platform for intelligent matchmaking and anti-doping in mobile Esports games – Elympics. POIR.01.02.00-00-0189/17.

References

  1. 1.
    Deloitte (2018) Technology, media & telecommunications (TMT) trends: predictions, 2018, p 35. https://www2.deloitte.com/content/dam/Deloitte/pl/Documents/Reports/pl_2018_TMT_Predictions.pdf
  2. 2.
    Grohmann K (2018) Olympic Channel boss says ready to explore esports after Pyeongchang. https://www.reuters.com/article/us-olympics-2018-ioc-esports/olympic-channel-boss-says-ready-to-explore-esports-after-pyeongchang-idUSKCN1G30JM. Last Accessed 15 Mar 2018
  3. 3.
  4. 4.
  5. 5.
    Hemphill D (2005) Cybersport. J Philos Sport 32(2):195–207CrossRefGoogle Scholar
  6. 6.
    Hamari J, Sjöblom M (2017) What is eSports and why do people watch it? Internet Res 27(2):211–232CrossRefGoogle Scholar
  7. 7.
    Bornemark O (2013) Success factors for E-sport games. In: Bensch S, Drewes F (eds) Umeå’s 16th student conference in computing science. Umeå University, Umeå, pp 1–12Google Scholar
  8. 8.
    Jonasson K, Thiborg J (2010) Electronic sport and its impact on future sport. Sport Soc 13(2):287–299CrossRefGoogle Scholar
  9. 9.
    Kauweloa S, Winter J (2016) Collegiate E-sports as work or play. In: Proceedings of the first international joint conference of DiGRA and FDG, 1–5 August 2016. Dundee, Scotland. Digital Games Research Association and Society for the Advancement of the Science of Digital GamesGoogle Scholar
  10. 10.
    Szablewicz M (2011) From addicts to athletes: participation in the discursive construction of digital games in urban China. In: Fragoso S (ed) Selected papers of internet research 12.0. Association of Internet Researchers, Seattle, pp 1–21Google Scholar
  11. 11.
    Weiss T (2011) Fulfilling the needs of eSports consumers: a uses and gratifications perspective. In: Bled eConference, 30Google Scholar
  12. 12.
    Karhulahti VM (2017) Reconsidering esport: economics and executive ownership. Phys Cult Sport Stud Res 74(1):43–53CrossRefGoogle Scholar
  13. 13.
  14. 14.
    Google Play Store. https://play.google.com/store. Last Accessed 05 Mar 2018
  15. 15.
    Handrahan M (2017) Critical force: “Mobile will become more and more important to esports”. https://www.gamesindustry.biz/articles/2018-02-27-critical-force-mobile-will-become-more-and-more-important-to-esports. Last Accessed 19 Apr 2018
  16. 16.
    Fullerton T (2014) Game design workshop: a playcentric approach to creating innovative games, 3rd edn. CRC press, Boca RatonCrossRefGoogle Scholar
  17. 17.
    Dillon R (2010) On the way to fun: an emotion-based approach to successful game design. A K Peters, Ltd, NatickCrossRefGoogle Scholar
  18. 18.
    Mayes DK, Cotton JE (2001) Measuring engagement in video games: a questionnaire. In: Proceedings of the human factors and ergonomics society annual meeting, 45(7): 692–696. SAGE Publications, Sage/Los AngelesGoogle Scholar
  19. 19.
    Biocca F, Kim T, Levy MR (1995) The vision of virtual reality. Commun Age Virtual Real:3–14Google Scholar
  20. 20.
    Csikszentmihalyi M (1997) Finding flow: the psychology of engagement with everyday life. Basic BooksGoogle Scholar
  21. 21.
    Zaichkowsky JL (1985) Measuring the involvement construct. J Consum Res 12(3):341–352CrossRefGoogle Scholar
  22. 22.
    Vorderer P, Hartmann T, Klimmt C (2003, May) Explaining the enjoyment of playing video games: the role of competition. In: Proceedings of the second international conference on entertainment computing, Carnegie Mellon University, pp 1–9Google Scholar
  23. 23.
    O’Brien HL, Toms EG (2008) What is user engagement? A conceptual framework for defining user engagement with technology. J Assoc Inf Sci Technol 59(6):938–955CrossRefGoogle Scholar
  24. 24.
    Ravaja N, Saari T, Salminen M, Laarni J, Kallinen K (2006) Phasic emotional reactions to video game events: a psychophysiological investigation. Media Psychol 8(4):343–367CrossRefGoogle Scholar
  25. 25.
    Charlton JP, Danforth ID (2007) Distinguishing addiction and high engagement in the context of online game playing. Comput Hum Behav 23(3):1531–1548CrossRefGoogle Scholar
  26. 26.
    Brusselle R, Bilandzic H (2009) Measuring narrative engagement. Media Psychol 12:321–347CrossRefGoogle Scholar
  27. 27.
    Cavadenti O, Codocedo V, Boulicaut JF, Kaytoue M (2016, October) What did I do wrong in my MOBA game? Mining patterns discriminating deviant behaviours. In: IEEE international conference on data science and advanced analytics (DSAA), pp 662–671Google Scholar
  28. 28.
    Oksanen K, Lainema T, Hämäläinen R (2017) Learning from social collaboration: a paradigm shift in evaluating game-based learning. In: Handbook of research on serious games for educational applications. IGI Global, Hershey, pp 41–65CrossRefGoogle Scholar
  29. 29.
    Ryan RM, Deci EL (2002) An overview of self-determination theory: an organismic-dialectical perspective. In: Handbook of self-determination theory. University of Rochester Press, RochesterGoogle Scholar
  30. 30.
    Hodent C (2017) The Gamer’s brain: how neuroscience and UX can impact video game design. CRC Press, Boca Raton/London/New YorkCrossRefGoogle Scholar
  31. 31.
    Vallerand RJ, Ratelle CF (2002) Intrinsic and extrinsic motivation: a hierarchical model. In: Handbook of self-determination research, vol 128, pp 37–63Google Scholar
  32. 32.
    Deci E, Ryan R (2014) The importance of universal psychological needs for understanding motivation in the workplace. In: The Oxford handbook of work engagement, motivation, and self-determination theory. Oxford University Press, New YorkGoogle Scholar
  33. 33.
    Dysvik A, Kuvaas B, Gagné M (2013) An investigation of the unique, synergistic and balanced relationships between basic psychological needs and intrinsic motivation. J Appl Soc Psychol 43(5):1050–1064CrossRefGoogle Scholar
  34. 34.
    Deci EL, Ryan RM (2002) Self-determination research: reflections and future directions. In: Handbook of self-determination theory. The University of Rochester Press, RochesterGoogle Scholar
  35. 35.
    Freeman G, Wohn DY (2017) Understanding eSports team formation and Coordination. In: Computer supported cooperative work (CSCW), pp 1–32Google Scholar
  36. 36.
    Zoeller G (2010) Development telemetry in video games projects. In: Game developers conferenceGoogle Scholar
  37. 37.
    Bernhaupt R (2010) User experience evaluation in entertainment. In: Evaluating user experience in games. Springer, London, pp 3–7CrossRefGoogle Scholar
  38. 38.
    Sarkar A, Williams M, Deterding S, Cooper S (2017, August) Engagement effects of player rating system-based matchmaking for level ordering in human computation games. In: Proceedings of the 12th international conference on the foundations of digital games. ACM, New York, p 22Google Scholar
  39. 39.
    Hadiji F, Sifa R, Drachen A, Thurau C, Kersting K, Bauckhage C (2014, August) Predicting player churn in the wild. In Computational intelligence and games (CIG), 2014 IEEE conference on, 1–8Google Scholar
  40. 40.
    Lin J (2013) The science behind shaping player behavior in online games. In: Annual game developers conferenceGoogle Scholar
  41. 41.
    Horton E, Johnson D, Mitchell J (2016, November) Finding and building connections: moving beyond skill-based matchmaking in videogames. In: Proceedings of the 28th Australian conference on computer-human interaction. ACM, New York, pp 656–658Google Scholar
  42. 42.
    Herbrich R, Minka T, Graepel T (2007) TrueSkill™: a Bayesian skill rating system. In: Advances in neural information processing systems. MIT Press, Cambridge, MA, pp 569–576Google Scholar
  43. 43.
    Glickman ME (1999) Parameter estimation in large dynamic paired comparison experiments. J R Stat Soc Ser C Appl Stat 48(3):377–394CrossRefGoogle Scholar
  44. 44.
    Elo AE (1978) The rating of chessplayers, past and present. Arco Pub, New YorkGoogle Scholar
  45. 45.
    Graepel T, Herbrich R (2006) Ranking and matchmaking. Game Dev Mag 25:34Google Scholar
  46. 46.
    Véron M, Marin O, Monnet S (2014, March) Matchmaking in multi-player on-line games: studying user traces to improve the user experience. In: Proceedings of network and operating system support on digital audio and video workshop. ACM, New YorkGoogle Scholar
  47. 47.
    Chen Z, Xue S, Kolen J, Aghdaie N, Zaman KA, Sun Y, Seif El-Nasr M (2017, April) EOMM: an engagement optimized matchmaking framework. In proceedings of the 26th international conference on world wide web, International world wide web conferences steering committee, pp 1143–1150Google Scholar
  48. 48.
    Agarwal S, Lorch JR (2009, August) Matchmaking for online games and other latency-sensitive P2P systems. ACM SIGCOMM Comput Commun Rev 39(4):315–326CrossRefGoogle Scholar
  49. 49.
    Manweiler J, Agarwal S, Zhang M, Roy Choudhury R, Bahl P (2011, June) Switchboard: a matchmaking system for multiplayer mobile games. In: Proceedings of the 9th international conference on Mobile systems, applications, and services. ACM, New York, pp 71–84Google Scholar
  50. 50.
    Jiménez-Rodrıguez J, Jiménez-Dıaz G, Dıaz-Agudo B (2011). Matchmaking and case-based recommendations. In 19th international conference on case based reasoningGoogle Scholar
  51. 51.
    Myślak M, Deja D (2014, November) Developing game-structure sensitive matchmaking system for massive-multiplayer online games. In: International conference on social informatics. Springer, Cham, pp 200–208Google Scholar
  52. 52.
    Delalleau O, Contal E, Thibodeau-Laufer E, Ferrari RC, Bengio Y, Zhang F (2012) Beyond skill rating: advanced matchmaking in ghost recon online. IEEE Trans Comput Intell AI Games 4(3):167–177CrossRefGoogle Scholar
  53. 53.
    Kozinets RV (1998) On netnography: initial reflections on consumer research investigations of cyberculture. ACR North Am AdvGoogle Scholar
  54. 54.
  55. 55.
  56. 56.

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Małgorzata Ćwil
    • 1
  • Marcin Wardaszko
    • 1
  • Kajetan Dąbrowski
    • 2
  • Przemysław Chojecki
    • 3
  1. 1.Department of Quantitative Methods and Information TechnologyKozminski UniversityWarsawPoland
  2. 2.DaftMobileWarsawPoland
  3. 3.Mathematical Institute, Polish Academy of ScienceWarsawPoland

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