Abstract
Player experience is often difficult to understand, and it is not always clear to game developers which game features should be eliminated or maintained. By analyzing reviews of particular games, it is possible to create high-quality games and understand player psychology and game preferences. Our pilot study aimed to find out how people evaluate their game experience based on reviews on the Steam platform and to extract its main dimensions. By utilizing the Structural Topic Model (STM), we extended previous research on main components of game experience and found topics which were not discussed in previous works. Using the community detection method, we divided our topics into seven main dimensions that connect with different strength. Our research contributes more knowledge about the processes of evaluation as a whole and game evaluation in particular.
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Notes
- 1.
Steam Game and Player Statistics Web Page: https://store.steampowered.com/stats/.
- 2.
Steam Community Official Web Page. Retrieved from https://steamcommunity.com.
- 3.
STM R package: https://www.structuraltopicmodel.com.
- 4.
References
Bounie, D., Bourreau, M., Gensollen, M., Waelbroeck, P.: The effect of online customer reviews on purchasing decisions: the case of video games 21 (2005)
Mankad, S., Han, H., Goh, J., Gavirneni, S.: Understanding online hotel reviews through automated text analysis. Serv. Sci. 8(2), 97–248 (2016)
Yee, N.: Motivations for play in online games. Cyberpsychol. Behav. 9(6), 772–775 (2006)
Williams, D., Ducheneaut, N., Xiong, L., Zhang, Y., Yee, N., Nickell, E.: From tree house to barracks: the social life of guilds in World of Warcraft. Games Cult. 1(4), 338–361 (2016)
Taylor, T.L.: Does WoW change everything? How a PvP server, multinational player base, and surveillance mod scene caused me pause. Games Cult. 1(4), 318–337 (2016)
Ducheneaut, N., Yee, N., Nickell, E., Moore, R.J.: Building an MMO with mass appeal: a look at gameplay in World of Warcraft. Games Cult. 1(4), 281–317 (2016)
Tondello, G.F., Valtchanov, D., Reetz, A., Wehbe, R.R., Orji, R., Nacke, L.E.: Towards a trait model of video game preferences. Int. J. Hum.-Comput. Interact. 34(8), 732–748 (2018)
Vahlo, J., Kaakinen, J.K., Holm, S.K., Koponen, A.: Digital game dynamics preferences and player types. J. Comput.-Mediat. Commun. 22(2), 88–103 (2017)
Tondello, G.F., Wehbe, R.R., Orji, R., Ribeiro, G., Nacke, L.E.: A framework and taxonomy of videogame playing preferences. In: Proceedings of the Annual Symposium on Computer-Human Interaction in Play, Amsterdam, The Netherlands, pp. 329–340 (2017). https://doi.org/10.1145/3116595.3116629
Pielka, M., Sifa, R., Ramamurthy, R., Ojeda, C., Bauckhage, C.: A community detection based approach for exploring patterns in player reviews. In: Bi, Y., Bhatia, R., Kapoor, S. (eds.) IntelliSys 2019. AISC, vol. 1037, pp. 553–565. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-29516-5_43
Li, K., Nguyen, H.V., Cheng, T.C.E.: How do avatar characteristics affect avatar friendliness and online gamer loyalty? Perspective of the theory of embodied cognition. Emerald Insight (2018). https://doi.org/10.1108/IntR-06-2017-0246
Sirbu, D., Secui, A., Dascalu, M., Crossley, S.A., Ruseti, S., Trausan-Matu, S.: Extracting gamers’ opinions from reviews. In: 2016 18th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC), pp. 227–232. IEEE (2016). https://doi.org/10.1109/SYNASC.2016.044
Wang, X., Goh, D.H.-L.: Components of game experience: an automatic text analysis of online reviews. Entertain. Comput. 33, 100338 (2020)
Kozinets, R.V.: Netnography. In: The International Encyclopedia of Digital Communication and Society, pp. 1–8. American Cancer Society, Seattle (2015)
Hu, M., Liu, B.: Mining and summarizing customer reviews. In: Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Seattle, WA, USA, pp. 168–177 (2004)
Wallner, G., Kriglstein, S., Drachen, A.: Tweeting your destiny: profiling users in the Twitter landscape around an online game. ArXiv:1905.12694 Cs (2019)
dos Santos, T.F.T., Lemmerich, F., Strohmaier, M., Helic, D.: What’s in a review: discrepancies between expert and amateur reviews of video games on metacritic. In: Proceedings of the ACM Human-Computer Interaction (CSCW), vol. 3, pp. 1–22 (2019)
Grajzl, P., Irby, C.: Reflections on study abroad: a computational linguistics approach. Soc. Sci. Res. Netw. (2018) https://doi.org/10.2139/ssrn.3235551. SSRN Scholarly Paper ID 3235551. Rochester, NY
Roberts, M.E., Stewart, B.M., Airoldi, E.M.: A model of text for experimentation in the social sciences. J. Am. Stat. Assoc. 111(515), 988–1003 (2016)
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Busurkina, I., Karpenko, V., Tulubenskaya, E., Bulygin, D. (2020). Game Experience Evaluation. A Study of Game Reviews on the Steam Platform. In: Alexandrov, D.A., Boukhanovsky, A.V., Chugunov, A.V., Kabanov, Y., Koltsova, O., Musabirov, I. (eds) Digital Transformation and Global Society. DTGS 2020. Communications in Computer and Information Science, vol 1242. Springer, Cham. https://doi.org/10.1007/978-3-030-65218-0_9
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