Work in Progress

Measuring Players’ Experience of Need Satisfaction in Digital Games: An Analysis of the Factor Structure of the UPEQ

Authors:

Dominik Kayser,

Sebastian Andrea Caesar Perrig,

Florian BrühlmannAuthors Info & Claims

CHI PLAY '21: Extended Abstracts of the 2021 Annual Symposium on Computer-Human Interaction in Play

Pages 158 - 162

https://doi.org/10.1145/3450337.3483499

Published: 15 October 2021 Publication History

Abstract

In this work, we explore the factorial structure of the Ubisoft Perceived Experience Questionnaire (UPEQ) and its correlation with game enjoyment. For this purpose, an online survey was conducted on the experience with the video game League of Legends. Three hundred and sixty-nine participants provided information about their in- and out-of-game demographics and rated their experience with the game using the UPEQ and the subscale Interest/Enjoyment from the Intrinsic Motivation Inventory. Using confirmatory and exploratory factor analysis, we found weaknesses in the 3-factor model of the UPEQ and propose a 6- or 7-factor structure as a basis for new research and improvement of the UPEQ. All materials are available on OSF: https://osf.io/6nhts/.

References

[1]

Vero Vanden Abeele, Katta Spiel, Lennart Nacke, Daniel Johnson, and Kathrin Gerling. 2020. Development and validation of the player experience inventory: A scale to measure player experiences at the level of functional and psychosocial consequences. International Journal of Human-Computer Studies 135 (2020), 102370. https://doi.org/10.1016/j.ijhcs.2019.102370

Digital Library

[2]

Ahmad Azadvar and Alessandro Canossa. 2018. UPEQ: Ubisoft Perceived Experience Questionnaire: A Self-Determination Evaluation Tool for Video Games. In Proceedings of the 13th International Conference on the Foundations of Digital Games (Malmö, Sweden) (FDG ’18). Association for Computing Machinery, New York, NY, USA, Article 5, 7 pages. https://doi.org/10.1145/3235765.3235780

Digital Library

[3]

Florian Brühlmann and Gian-Marco Schmid. 2015. How to Measure the Game Experience? Analysis of the Factor Structure of Two Questionnaires. In Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems (Seoul, Republic of Korea) (CHI EA ’15). Association for Computing Machinery, New York, NY, USA, 1181–1186. https://doi.org/10.1145/2702613.2732831

Digital Library

[4]

Florian Brühlmann, Philipp Baumgartner, Günter Wallner, Simone Kriglstein, and Elisa D. Mekler. 2020. Motivational Profiling of League of Legends Players. Frontiers in Psychology 11 (2020), 1307. https://doi.org/10.3389/fpsyg.2020.01307

[5]

Paul Cairns and Christopher Power. 2018. Measuring Experiences. In New Directions in Third Wave Human-Computer Interaction: Volume 2 - Methodologies, Michael Filimowicz and Veronika Tzankova (Eds.). Springer International Publishing, Cham, 61–80. https://doi.org/10.1007/978-3-319-73374-6_5

[6]

Edward L Deci and Richard M Ryan. 2004. Handbook of self-determination research. University Rochester Press, Rochester, NY, USA.

[7]

Barbara C. Ilardi, Dean Leone, Tim Kasser, and Richard M. Ryan. 1993. Employee and Supervisor Ratings of Motivation: Main Effects and Discrepancies Associated with Job Satisfaction and Adjustment in a Factory Setting1. Journal of Applied Social Psychology 23, 21 (1993), 1789–1805. https://doi.org/10.1111/j.1559-1816.1993.tb01066.x

[8]

Effie L.-C. Law, Florian Brühlmann, and Elisa D. Mekler. 2018. Systematic Review and Validation of the Game Experience Questionnaire (GEQ) - Implications for Citation and Reporting Practice. In Proceedings of the 2018 Annual Symposium on Computer-Human Interaction in Play (Melbourne, VIC, Australia) (CHI PLAY ’18). Association for Computing Machinery, New York, NY, USA, 257–270. https://doi.org/10.1145/3242671.3242683

Digital Library

[9]

Elisa D. Mekler, Julia Ayumi Bopp, Alexandre N. Tuch, and Klaus Opwis. 2014. A Systematic Review of Quantitative Studies on the Enjoyment of Digital Entertainment Games. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (Toronto, Ontario, Canada) (CHI ’14). Association for Computing Machinery, New York, NY, USA, 927–936. https://doi.org/10.1145/2556288.2557078

Digital Library

[10]

Marçal Mora-Cantallops and Miguel Ángel Sicilia. 2018. Exploring player experience in ranked League of Legends. Behaviour & Information Technology 37, 12 (2018), 1224–1236. https://doi.org/10.1080/0144929X.2018.1492631

[11]

Mary Beth Oliver, Nicholas David Bowman, Julia K Woolley, Ryan Rogers, Brett I Sherrick, and Mun-Young Chung. 2016. Video games as meaningful entertainment experiences.Psychology of Popular Media Culture 5, 4 (2016), 390. https://doi.org/10.1037/ppm0000066

[12]

Mikki H. Phan, Joseph R. Keebler, and Barbara S. Chaparro. 2016. The Development and Validation of the Game User Experience Satisfaction Scale (GUESS). Human Factors 58, 8 (2016), 1217–1247. https://doi.org/10.1177/0018720816669646 arXiv:https://doi.org/10.1177/0018720816669646PMID: 27647156.

[13]

Karolien Poels, YAW De Kort, and Wijnand A IJsselsteijn. 2007. D3. 3: Game Experience Questionnaire: development of a self-report measure to assess the psychological impact of digital games.

[14]

Riot Games. 2009. League of Legends. Game [PC]. Riot Games, Los Angeles, CA, USA.

[15]

Richard M Ryan and Edward L Deci. 2017. Self-determination theory: Basic psychological needs in motivation, development, and wellness. Guilford Publications, New York City, NY, USA.

[16]

Richard M Ryan, Valerie Mims, and Richard Koestner. 1983. Relation of reward contingency and interpersonal context to intrinsic motivation: A review and test using cognitive evaluation theory.Journal of personality and Social Psychology 45, 4(1983), 736. https://doi.org/10.1037/0022-3514.45.4.736

[17]

Richard M Ryan, C Scott Rigby, and Andrew Przybylski. 2006. The Motivational Pull of Video Games: A Self-Determination Theory Approach. Motivation and Emotion 30, 4 (2006), 344–360. https://doi.org/10.1007/s11031-006-9051-8

[18]

April Tyack and Elisa D. Mekler. 2020. Self-Determination Theory in HCI Games Research: Current Uses and Open Questions. Association for Computing Machinery, New York, NY, USA, 1–22. https://doi.org/10.1145/3313831.3376723

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Cited By

Zhang ZKou Y(2024)Casual Competition by Design: A Study of the All Random All Mid (ARAM) Mode in League of LegendsProceedings of the ACM on Human-Computer Interaction10.1145/36869928:CSCW2(1-28)Online publication date: 8-Nov-2024
https://dl.acm.org/doi/10.1145/3686992
Pais PGonçalves DGerling KRomão TGuerreiro TRodrigues A(2024)Promoting Family Play through Asymmetric Game DesignProceedings of the ACM on Human-Computer Interaction10.1145/36373928:CSCW1(1-24)Online publication date: 26-Apr-2024
https://dl.acm.org/doi/10.1145/3637392
Perrig SScharowski NBrühlmann Fvon Felten NOpwis KAeschbach L(2024)Independent Validation of the Player Experience Inventory: Findings from a Large Set of Video Game PlayersProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642270(1-13)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642270
Show More Cited By

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cover image ACM Conferences

CHI PLAY '21: Extended Abstracts of the 2021 Annual Symposium on Computer-Human Interaction in Play

October 2021

414 pages

ISBN:9781450383561

DOI:10.1145/3450337

Editors:
Günter Wallner
JKU Linz, Austria & TU Eindhoven, The Netherlands
,
Alexander Meschtscherjakov
Paris Lodron University of Salzburg, Austria
,
Max Birk
Eindhoven University of Technology, The Netherlands
,
Jo Iacovides
University of York, UK
,
Mitchell McEwan
Macquarie University, Australia

Copyright © 2021 Owner/Author.

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Published: 15 October 2021

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CHI PLAY '21

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CHI PLAY '21: The Annual Symposium on Computer-Human Interaction in Play

October 18 - 21, 2021

Virtual Event, Austria

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Cited By

Zhang ZKou Y(2024)Casual Competition by Design: A Study of the All Random All Mid (ARAM) Mode in League of LegendsProceedings of the ACM on Human-Computer Interaction10.1145/36869928:CSCW2(1-28)Online publication date: 8-Nov-2024
https://dl.acm.org/doi/10.1145/3686992
Pais PGonçalves DGerling KRomão TGuerreiro TRodrigues A(2024)Promoting Family Play through Asymmetric Game DesignProceedings of the ACM on Human-Computer Interaction10.1145/36373928:CSCW1(1-24)Online publication date: 26-Apr-2024
https://dl.acm.org/doi/10.1145/3637392
Perrig SScharowski NBrühlmann Fvon Felten NOpwis KAeschbach L(2024)Independent Validation of the Player Experience Inventory: Findings from a Large Set of Video Game PlayersProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642270(1-13)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642270
Graf LAltmeyer MEmmerich KHerrlich MKrekhov ASpiel K(2022)Development and Validation of a German Version of the Player Experience Inventory (PXI)Proceedings of Mensch und Computer 202210.1145/3543758.3543763(265-275)Online publication date: 4-Sep-2022
https://dl.acm.org/doi/10.1145/3543758.3543763
Von Felten NBrühlmann FPerrig S(2022)Independent Validation of the Video Game Dispositional Flow Scale With League of Legends PlayersExtended Abstracts of the 2022 Annual Symposium on Computer-Human Interaction in Play10.1145/3505270.3558351(44-50)Online publication date: 2-Nov-2022
https://dl.acm.org/doi/10.1145/3505270.3558351
Memeti ZBrühlmann FPerrig S(2022)LoL, Why Do You Even Play? Validating the Motives for Online Gaming Questionnaire in the Context of League of LegendsExtended Abstracts of the 2022 Annual Symposium on Computer-Human Interaction in Play10.1145/3505270.3558350(81-86)Online publication date: 2-Nov-2022
https://dl.acm.org/doi/10.1145/3505270.3558350

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