Bartle taxonomy of player types

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The Bartle taxonomy of player types is a classification of video game players (gamers) based on a 1996 paper by Richard Bartle [1] according to their preferred actions within the game. The classification originally described players of multiplayer online games (including MUDs and MMORPGs), though now it also refers to players of single-player video games. [2]

Contents

The taxonomy is based on a character theory. This character theory consists of four characters: Achievers, Explorers, Socializers, and Killers (often mapped onto the four suits of the standard playing card deck; Diamonds, Spades, Hearts, and Clubs, in that order). These are imagined according to a quadrant model where the X axis represents preference for interacting with other players vs. exploring the world and the Y axis represents preference for interaction vs. unilateral action. [3]

A test known as Bartle Test of Gamer Psychology based on Bartle's taxonomy was created in 1999–2000 by Erwin Andreasen and Brandon Downey, containing a series of questions and an accompanying scoring formula. [4] [5] [6] [7] Although the test has been met with some criticism [8] for the dichotomous nature of its question-asking method, as of October 2011, it had been taken over 800,000 times. [9] [10] As of February 2018, the Bartle Test of Gamer Psychology hosted by GamerDNA is no longer available. Alternative online implementations of the test exist, however. [11]

The result of the Bartle Test is the "Bartle Quotient", which is calculated based on the answers to a series of 30 random questions in the test, and totals 200% across all categories, with no single category exceeding 100%. [12]

Achievers

Also known as "Diamonds" (♦) , these are players who prefer to gain "points", levels, equipment and other concrete measurements of succeeding in a game. [13] They will go to great lengths to achieve rewards that are merely cosmetic. [14]

Single-player appeal to the Achiever

Every game that can be "beaten" in some way caters to the Achiever play style by giving them something to accomplish. Games that offer a 100% completion rating appeal to Achievers. [15]

Multi-player appeal to the Achiever

One of the appeals of online gaming to the Achiever is that they have the opportunity to show off their skill and hold elite status to others. [16] They value (or despise) the competition from other Achievers, and look to the Socializers to give them praise. [17] Microsoft's Xbox Live utilizes the Gamerscore to reward Achievers, who can get points by completing difficult "Achievements" in the various games they purchase. They can, in turn, compare themselves to other gamers from around the world.

Explorers

Explorers, dubbed "Spades" (♠) for their tendency to dig around, are players who prefer discovering areas, and immerse themselves in the game world. They are often annoyed by time-restricted missions as that does not allow them to traverse at their own pace. They enjoy finding glitches or a hidden easter egg. [18] [14]

Single-player appeal to the Explorer

Combat and gaining levels or points is secondary to the Explorer, so they traditionally flock to games such as Myst . [19] In these games, the player finds themselves in a strange place, and the objective is to find their way out by paying close attention to detail and solving puzzles. The Explorer will often enrich themselves in any backstory or lore they can find about the people and places in-game. [18] Whereas an Achiever may quickly forget a gaming adventure; the Explorer will recall fond memories about their experience. [20]

Multi-player appeal to the Explorer

However, Explorers will often become bored with any particular MMORPG when they have experienced its content. They will tire quicker than other gamer types, and feel the game has become a chore to play. [21]

Socializers

There are a multitude of gamers who choose to play games for the social aspect, rather than the actual game itself. These players are known as Socializers or "Hearts". (♥) They gain the most enjoyment from a game by interacting with other players, and sometimes, computer-controlled characters with personality. [22] The game is merely a tool they use to meet others in-game or outside of it. [23] Some socializers enjoy helping others for the sake of altruism, while explorers help for the sake of discovering previously unattained areas, and achievers or killers want to help for the sake of an extrinsic reward such as points.[ citation needed ]

Single-player appeal to the Socializer

Since their objective is not so much to win or explore as it is to be social, there are few games that the Socializer enjoy based on their merits. Instead, they play some of the more popular games so that they can use the multi-player features. [24] However, there are some games designed with their play style in mind, which socializers may in particular enjoy. Games of the earliest video game generations seldom have longer dialogue trees, but 2000s games that offer significant player-NPC relationship interaction and development include the titles Fable , Mass Effect , and Knights of the Old Republic .

With the advent of the World Wide Web, gamers' association has partially moved online. Socializers are especially keen at sharing their gaming experiences on forums and social media. For instance, the procedurally generated game Dwarf Fortress , has a tight-knit community due to the game's unforgiving nature, unique scenarios and perplexing mechanics. [25] Video game streamers who interact with their audience are often socializers. One former popular form of gaming video is the Let's Play format, which has largely been replaced by live streaming on platforms such as Twitch and YouTube. [26]

Multi-player appeal to the Socializer

The online environment is very appealing to the Socializer, as it provides near limitless potential for new relationships.[ citation needed ] They take full advantage of the ability to join guilds or kinships in many online games. [27]

Killers

Single-player appeal to the Killer

Killers, well-suited as "Clubs" (♣️), are, more than other player types, motivated by powergaming and eclipsing others. [28] They want to achieve first rank on the high score board or beat another speedrunner's time record. [29] [30]

Multi-player appeal to the Killer

Causing mayhem among computer-controlled people and things may be fun to the Killer, but nothing amounts to the joy of pitting one's skills against an actual player-controlled opponent. [31] For most, the joy of being a Killer results from a friendly competitive spirit. [32]

For others, it's more about power and the ability to hurt others or the thrill of the hunt. One such example is "ganking" or "owning", a process where the Killer takes their strong character to a place where inexperienced or weaker characters reside, and proceeds to kill them repeatedly. [33]

Application

In addition to helping players define their game-playing preferences, the Bartle taxonomy has also been used by game designers to help define the requirements of games that are intended to appeal to a particular audience. [34]

History

In 2006, after running for ten years on a web server maintained by Erwin Andreasen, the database met with intractable scalability problems. After several months, the test was rewritten and moved to GamerDNA servers, preserving all the original test data. [35]

Expanded categories

Richard Bartle also created a version of his player types model that included a third axis of implicit/explicit, leading to eight player types. [7] [36]

Achievers

Explorers

Socializers

Killers

According to Bartle: "The 4-part version is easy to draw because it's 2D, but the 8-part one is 3D; it's therefore much harder to draw in such a way as it doesn't collapse in a mass of lines." [37] (Bartle's personal blog.)There is one known online test based on this model. [38]

Criticism

Bartle's divisions provide a foundation for investigating gamer psychology; however, subsequent studies have noted certain limitations. For example, Nick Yee has argued that a "component" framework provides more explanatory power than a "category" framework. [39] Bartle's motivation factors were analysed for correlation by factorial analysis based on a sample of 7,000 MMO players. One of the results was that the Bartle's Explorer type didn't appear and more importantly its subfactors "exploring the world" and "analysing the game mechanics" didn't correlate. [40] Jon Radoff has proposed a new four-quadrant model of player motivations (immersion, cooperation, achievement, and competition) that has a goal of combining simplicity along with the major motivational elements that apply to all games (multiplayer or otherwise). [41] [42]

See also

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References

  1. ↑ "Hearts, Clubs, Diamonds, Spades: Players Who Suit MUDs", Richard Bartle (1996)
  2. ↑ Karl M. Kapp (1 May 2012). The Gamification of Learning and Instruction: Game-based Methods and Strategies for Training and Education. John Wiley & Sons. p. 132. ISBN   978-1-118-09634-5.
  3. ↑ Taylor, T.L. (2006-02-24). Play Between Worlds: Exploring Online Game Culture. The MIT Press. p. 69. ISBN   978-0262201636.
  4. ↑ Andreasen, Erwin. "Erwin's MUD resources page" . Retrieved 2009-09-20.
  5. ↑ Erwin Andreasen; Brandon Downey (August 2001). "The Mud Personality Test". The Mud Companion (1): 33–35. ISSN   1499-1071. Archived from the original on August 18, 2000.
  6. ↑ "Random Dialogue: You Shuffle, I'll Deal — MMORPGDOTCOM". MMORPGDOTCOM.
  7. 1 2 Bartle, Richard (2003). Designing Virtual Worlds. New Riders. p. 145. ISBN   978-0-13-101816-7. I'm often asked about the Bartle Test, on the grounds that because it bears my name I must be responsible for it. Sadly, I'm not. The test is the brainchild of Erwin S. Andreasen and Brandon A. Downey, who wrote it in response to my player types paper so as to test the theory. The Bartle Test is an online binary-choice questionnaire that players of virtual worlds can take to discover what player type they are. As such, it offers potentially very useful information for designers.
  8. ↑ Nick Yee, Gamasutra (Sept. 21, 2004), "Unmasking the Avatar: The Demographics of MMO Player Motivations, In-Game Preferences, and Attrition"
  9. ↑ Bartle Test of Gamer Psychology Archived 2009-02-02 at the Wayback Machine , GamerDNA, Retrieved 9-19-2009
  10. ↑ Radoff, Jon. April 2011. Game On: Energize Your Business with Social Games. ISBN   978-0-470-93626-9.
  11. ↑ The Bartle Test of Gamer Psychology, matthewbarr.co.uk, Retrieved 2-11-2018
  12. ↑ Mulligan & Patrovsky (2003), Developing Online Games: An Insider's Guide, "Appendix C: The Bartle Quotient Survey Questions and Some Results", ISBN   1-59273-000-0
  13. ↑ Jia Zhou; Gavriel Salvendy (2019). Human Aspects of IT for the Aged Population. Social Media, Games and Assistive Environments: 5th International Conference, ITAP 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Orlando, FL, USA, July 26-31, 2019, Proceedings. Springer. p. 186. ISBN   978-3-030-22015-0.
  14. 1 2 Maxim Pechorin (2018). Game Designer's Diary. How to start publishing instead of dreaming. For 3 game design documentation. ЛитРес. p. 39. ISBN   978-5-04-129213-3.
  15. ↑ Marios C. Angelides; Harry Agius (2014). Handbook of Digital Games. Wiley. p. 413. ISBN   978-1-118-79627-6.
  16. ↑ Richard A. Bartle (2015). MMOs from the Inside Out: The History, Design, Fun, and Art of Massively-multiplayer Online Role-playing Games. Apress. p. 478. ISBN   978-1-4842-1724-5.
  17. ↑ https://digitalcommons.wpi.edu/mqp-all/1690/ p.9
  18. 1 2 Charles Palmer; Andy Petroski (2016). Alternate Reality Games: Gamification for Performance. CRC Press. p. 57. ISBN   978-1-4987-2239-1.
  19. ↑ Celia Pearce (2011). Communities of Play: Emergent Cultures in Multiplayer Games and Virtual Worlds. MIT Press. p. 145. ISBN   978-0-262-29154-5.
  20. ↑ https://www8.cs.umu.se  › Per...PDF Taking gamification to the next level
  21. ↑ Robert Rice (1 September 2006). Mmo Evolution. Lu-lu. p. 73. ISBN   978-1-84728-679-6.
  22. ↑ Johnson, Greg (2019). "9 the Goals of the Game". Developing Creative Content for Games. 1498777678. p. 80. ISBN   978-1498777674.
  23. ↑ Will Luton (2013). Free-to-Play: Making Money From Games You Give Away. New Riders. p. 52. ISBN   978-0-13-341124-9.
  24. ↑ Colleen Macklin; John Sharp (2016). Games, Design and Play: A detailed approach to iterative game design. Pearson Education. p. 152. ISBN   978-0-13-439222-6.
  25. ↑ Jagoda, Patrick (2020). "Difficulty". Experimental Games: Critique, Play, and Design in the Age of Gamification. University of Chicago Press. p. 199. ISBN   978-0226630038.
  26. ↑ Fjællingsdal, Kristoffer (October 2014). "Let's Play: A Modern Social Gaming Dimension? Exploring a " New " Aspect of the Gamer as a Social Entity". Norwegian University of Science and Technology: 7. doi:10.13140/RG.2.1.4836.5209 . Retrieved September 26, 2021.{{cite journal}}: Cite journal requires |journal= (help)
  27. ↑ P. David Marshall; Christopher Moore; Kim Barbour (16 April 2019). Persona Studies: An Introduction. John Wiley & Sons. p. 162. ISBN   978-1-118-93504-0.
  28. ↑ Narayanan, Akila (2014). "Driving engagement the SMART way". Gamification for Employee Engagement. Packt Publishing. p. 110. ISBN   978-1783001354.
  29. ↑ Roberts, Dale (2016). "Chapter 5 The Efficiency Paradox". World of Workcraft: Rediscovering Motivation and Engagement in the Digital Workplace. Routledge. p. 62. ISBN   978-1134785001.
  30. ↑ "Game Developer - Personality And Play Styles: A Unified Model". www.gamasutra.com.
  31. ↑ "Bartle's Player Types for Gamification | Interaction Design Foundation". Interaction-design.org. 2019-10-30. Retrieved 2019-11-14.
  32. ↑ Dale Roberts (2016). World of Workcraft: Rediscovering Motivation and Engagement in the Digital Workplace. Taylor & Francis. p. 62. ISBN   978-1-134-78500-1.
  33. ↑ Sebastian Deterding; José Zagal (17 April 2018). Role-Playing Game Studies: Transmedia Foundations. Taylor & Francis. p. 810. ISBN   978-1-317-26831-4.
  34. ↑ "Let the Gears Begin", Engines of Creation #1, Dave Rickey (2003)
  35. ↑ Lon Safko (2010). The Social Media Bible: Tactics, Tools, and Strategies for Business Success. John Wiley & Sons. p. 327. ISBN   978-0-470-91268-3.
  36. ↑ "Richard A. Bartle: SELFWARE 2003". mud.co.uk.
  37. ↑ Bartle, Richard (2008-11-25). "8 Types". QBlog. Retrieved 2009-09-20.
  38. ↑ Bartle, Richard (2019-11-29). "Player Types". QBlog.
  39. ↑ "Microsoft Word - Motivations of Play in MMORPGs.doc" (PDF). Retrieved 2019-11-13.
  40. ↑ Williams, Dmitri; Yee, Nick; Caplan, Scott E. (2008). "Who plays, how much, and why? Debunking the stereotypical gamer profile". Journal of Computer-Mediated Communication. 13 (4): 993–1018. doi: 10.1111/j.1083-6101.2008.00428.x .
  41. ↑ "Game Player Motivations". Radoff, Jon. May 2011. Archived May 21, 2011, at the Wayback Machine
  42. ↑ Gabe Zichermann (2011-09-21). "Jon Radoff - "Designing for User Motivation: Understanding the Four Q…".{{cite journal}}: Cite journal requires |journal= (help)
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