The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
Player Types: A Meta-synthesis
Open accessAbstract
This paper investigates different ways in which players have been typified in past research literature in order to distinguish relevant typologies for further research as well as for designing and marketing of games. The goal is to synthesize the results of various studies and to find the prevailing concepts, compare them, and draw implications to further studies. The research process for this study proceeded from a literature search, to author-centric (Webster & Watson 2002) identification and categorization of previous works based on the established larger factors such as demographic, psychographic and behavioral variables. The previous works on player typologies were further analyzed using concept-centric approach and synthesized according to common and repeating factors in the previous studies. The results indicate that player types in previous literature can be synthesized into seven primary dimensions: Intensity, Achievement, Exploration, Sociability, Domination, Immersion and In-game demographics.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The cited source says what the claim attributes to it.
In the citing paper
“These might be geographic, demographic, psychographic or behavioral (Hamari & Tuunanen, 2014, p. 31).”
From Real-time hermeneutics: meaning-making in ludonarrative digital games (2018) · cites this paper as Hamari & Tuunanen, 2014, p. 31
The cited source says what the claim attributes to it.
In the citing paper
“Hamari and Tuunanen (2014) review the field of player typologies and synthesize their findings into five motivations or orientations: achievement, exploration, sociability, domination and immersion.”
From Real-time hermeneutics: meaning-making in ludonarrative digital games (2018) · cites this paper as Hamari and Tuunanen, 2014
The cited source says what the claim attributes to it.
In the citing paper
“Fortunately, research into player types did not stop with applications of Bartle's model.”
From Real-time hermeneutics: meaning-making in ludonarrative digital games (2018) · cites this paper as Hamari and Tuunanen, 2014
The cited source says what the claim attributes to it.
In the citing paper
“Hamari and Tuunanen (2014) review the field of player typologies and synthesize their findings into five motivations or orientations: achievement, exploration, sociability, domination and immersion.”
From Real-time hermeneutics: meaning-making in ludonarrative digital games (2018) · cites this paper as Hamari and Tuunanen, 2014
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Psychometric theory (2nd ed.).
Sitgreaves, R. (1979) · Contemporary Psychology · doi:10.1037/018882 · Cited by 14,384
Analyzing the Past to Prepare for the Future: Writing a Literature Review
Webster, J., & Watson, R. T. (2002) · MIS Quarterly · doi:10.2307/4132319 · Cited by 7,449
Does Gamification Work? -- A Literature Review of Empirical Studies on Gamification
Hamari, J., Koivisto, J., & Sarsa, H. (2014) · 2014 47th Hawaii International Conference on System Sciences · doi:10.1109/hicss.2014.377 · Cited by 5,201
Self-citationMotivations for Play in Online Games
Yee, N. (2006) · CyberPsychology & Behavior · doi:10.1089/cpb.2006.9.772 · Cited by 2,939
Huotari, K., & Hamari, J. (2012) · International Academic Mindtrek Conference (Mindtrek) · doi:10.1145/2393132.2393137 · Cited by 1,343
Self-citationYee, N. (2006) · Presence: Teleoperators and Virtual Environments · doi:10.1162/pres.15.3.309 · Cited by 1,276
Meta‐synthesis method for qualitative research: a literature review
Walsh, D., & Downe, S. (2005) · Journal of Advanced Nursing · doi:10.1111/j.1365-2648.2005.03380.x · Cited by 1,246
A casual revolution: reinventing video games and their players
(2010) · Choice Reviews Online · doi:10.5860/choice.47-6689 · Cited by 885
Hamari, J. (2013) · Electronic Commerce Research and Applications · doi:10.1016/j.elerap.2013.01.004 · Cited by 741
Self-citationFrom Tree House to Barracks: The Social Life of Guilds in World of Warcraft
Williams, D., Ducheneaut, N., Xiong, L., Zhang, Y., Yee, N., & Nickell, E. (2006) · Games and Culture · doi:10.1177/1555412006292616 · Cited by 659
Research works printed but not linked: 3
- Hamari, J. "Perspectives from behavioral economics to analyzing game design patterns: loss aversion in social games." In Proceedings of the Social Games Workshop, CHI2011. Vancouver, Canada, May 7-12, 2011.
- Kotler, P., & Keller, K. Marketing Management (Twelfth Edition). NJ: Prentice Hall, 2006.
- Lazzaro, N. (2004). "Why We Play Games: Four Keys to More Emo- tion Without Story." In Game Developers Conference. San Jose, USA, March 22-26, 2004.
Cited by
Sorted by citations
Does Gamification Work? -- A Literature Review of Empirical Studies on Gamification
Hamari, J., Koivisto, J., & Sarsa, H. (2014) · 2014 47th Hawaii International Conference on System Sciences · doi:10.1109/hicss.2014.377 · Cited by 5,201
Self-citationThe Rise of Motivational Information Systems: A Review of Gamification Research
Koivisto, J., & Hamari, J. (2017) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2018.10.013 · Cited by 2,229
Self-citationHamari, J., Shernoff, D. J., Rowe, E., Coller, B., Asbell-Clarke, J., & Edwards, T. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2015.07.045 · Cited by 1,713
Self-citationA definition for gamification: anchoring gamification in the service marketing literature
Huotari, K., & Hamari, J. (2016) · Electronic Markets · doi:10.1007/s12525-015-0212-z · Cited by 1,284
Self-citationWhat Is eSports and Why Do People Watch It?
Hamari, J., & Sjöblom, M. (2017) · Internet Research · doi:10.1108/intr-04-2016-0085 · Cited by 1,119
Self-citation
Metadata
- Authors
- Hamari, J., & Tuunanen, J.
- Affiliations
- Tampere University (FI)
- Aalto University (FI)
- ORCID
- Hamari, Juho
- Venue
- Transactions of the Digital Games Research Association
- Publisher
- Digital Games Research Association
- Published
- 2014-03-24
- Volume
- 1
- Issue
- 2
- ISSN
- 2328-9414 (ISSN-L)
- 2328-9422
- OpenAlex
- W1849401977
- Cited by
- 355
- References
- 28
- Citations by year
- 2026: 21 · 2025: 29 · 2024: 32 · 2023: 28 · 2022: 33 · 2021: 33 · 2020: 37 · 2019: 38 · 2018: 32 · 2017: 28 · 2016: 19 · 2015: 17 · 2014: 7
- FWCI
- 77.08
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Locations
- Transactions of the Digital Games Research Association (publishedVersion)
- Tampere University Institutional Repository (Tampere University) (publishedVersion)
- Tampere University Institutional Repository (Tampere University) (submittedVersion, cc-by-nc-nd)
- Topics
- Social Sciences › Sociology and Political Science › Digital Games and Media
- Social Sciences › Psychology › Developmental and Educational Psychology › Educational Games and Gamification
- Social Sciences › Psychology › Developmental and Educational Psychology › Sport Psychology and Performance
- Keywords
- player types, game design, game marketing, player behavior, player demographics, immersion, achievement motivation, exploration, sociability, domination
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
