五大人格特質對玩家動機影響之研究

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姓名

章棋翔(Ci-Siang Jhang) 查詢紙本館藏

畢業系所

企業管理學系

論文名稱

五大人格特質對玩家動機影響之研究
(A Study on Players′ Personality Traits and Player Motivation)

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至系統瀏覽論文 (2026-6-30以後開放)

摘要(中)

隨著網際網路的使用普及，在虛擬世界玩線上遊戲的人數驟增，各大遊戲廠商透過不同的遊戲設計吸引玩家使用，然而玩家是遊戲體驗者，了解玩家個人特質便是重要的因素。為了瞭解玩家個人特質與被遊戲所吸引的動機，以及了解不同類型的遊戲動機對遊戲著迷程度的影響，必須對玩家參與線上遊戲動機的原因有所了解。而遊戲動機是否受到其他因素影響，卻鮮少有研究者探討，也因此本研究旨在探討玩家人格特質與玩家動機的關係，並了解玩家動機對遊戲時間的影響。
本研究以Mini-Markers人格特質量表與Trojan Player Typology玩家動機量表蒐集玩家問卷資料，共獲得有效問卷221份問卷，並以典型相關、積差相關進行資料分析。研究結果發現五種人格特質與玩家動機有關聯。不同的人格特質會與不同的玩家動機有顯著關係，以及不同類型的遊戲動機會影響遊戲時間。
在典型相關分析中玩家人格特質與玩家動機有顯著相關，共發現兩個關係向度，第一個是在玩家人格特質中外向性和開放性越高，在玩家動機中社交者和探索者的傾向也越高。第二個是當玩家情緒越穩定，對於求勝的心態越低，逃避現實的情況也越低。

摘要(英)

With the rise of networking, the number of people playing on-line game in the virtual world are increasing. As a result, game manufactures strive to design different games to attract various players. It is important to understand the motivation driving different kinds of people to play various games. The purpose of this study is to investigate the relationships between player personality traits and player motivations, and to understand the influence of motivations on playing time.
The results show that big five personality traits are correlated with player motivations. There are significantly relationships between the different personality traits and the different player motivations. The game motivations have an influence on gaming time.
Canonical analysis was utilized to inspect the relationships between player personality traits and player motivations. Two dimensions representing the relationships were discovered. The first dimension suggested that extraversion and openness have relationship with motivations of socializers and completionists. The second dimension showed that emotional stability had a negative influence on the player motivations of competitors and escapists.

關鍵字(中)

★ 五大人格特質
★ 玩家動機
★ 遊戲時間

關鍵字(英)

★ Big Five personality traits
★ Player motivations
★ Gaming time

論文目次

中文摘要 vi
Abstract vii
目錄 viii
表目錄 x
圖目錄 xi
第一章緒論 1
第一節:研究動機 1
第二節:研究目的 3
第三節:研究流程 3
第二章文獻探討 5
第一節:五大人格特質與Mini-Markers人格特質量表 5
第二節: 玩家動機與Trojan player typology 6
第三節:英雄聯盟 8
第三章研究模型 10
第一節:建立研究假設 10
第二節:構面定義 15
第三節:資料分析方法 16
第四章研究結果分析 18
第一節:資料蒐集 18
第二節:構面正確性分析 20
第三節:假設驗證 27
第四節:討論 33
第五節:實務建議 33
第五章結論與未來研究 35
第一節:研究結論 35
第二節:研究限制與未來研究建議 36
參考文獻 37
附錄:「五大人格特質對玩家動機影響之研究」之問卷調查 42

參考文獻

1. 蕭文龍（2016），統計分析入門與應用：SPSS中文+SmartPLS3(PLS_SEM)。碁峰出版社。
2. 吳統雄;探索式因素分析(EFA); http://tx.liberal.ntu.edu.tw/~PurpleWoo/Methodology/Analy-TxStatisticsCanon-Factor.htm#score;2017
3. 維基百科;五大人格特質; https://zh.wikipedia.org/wiki/%E4%BA%94%E5%A4%A7%E6%80%A7%E6%A0%BC%E7%89%B9%E8%B4%A8 ;2017
4. 林日璇(2016);為何玩線上遊戲時容易情緒失控？——《科學月刊》;http://pansci.asia/archives/101675
5. 張春興 (民 78) 。張氏心理學辭典 (初版) 。台北市，東華
6. 吳明隆、張毓仁(2011)，SPSS(PASW)與統計應用分析Ⅱ。五南出版社。
7. 黃堅厚(1999) ，人格心理學。台北:心理.
8. 李德治,童惠玲 (2009)，多變量分析:專題及論文常用的統計方法。雙葉書廊。
9. 陳順宇(2004) ，多變量分析，華泰書局。
10. 鄧景宜，曾旭民，李怡禎，游朝舜(2011)，"International English Big-Five Mini-Markers"之繁體中文版量表發展。管理學報 pp.579-600 , 28(6), 2011。
11. 陳禹辰，尚榮安，陳東龍，鄭靜婷(2011) 遊戲動機與線上遊戲持續參與意圖之研究：不同玩家族群之比較.資訊管理學報第十九卷第二期 pp.349-387.
12. 劉宗明，黃德祥(2008) 國中教師人格特質與教學效能之研究。臺北市立教育大學學報民97，第39卷第二期 1-34頁
13. 徐賽芬(2007)，領導型態對組織變革與工作滿足的影響：以某國立大學行政主管之更迭為例。國立中央大學企業管理研究所碩士論文。
14. 薛世杰 (2002)，國中男、女生的網路遊戲使用時間與使用動機、自我效能、人格特質、學業成就、人際關係之相關研究。未出版碩士論文，國立屏東師範學院教育科技研究所，屏東。

1. Asgari, M. and Kaufman, D. (2004), ‘Relationships among computer games, fantasy, and learning’
2. Alex Leavitt , Brian C. Keegan ,Joshua Clark (2016), Ping to Win?: Non-Verbal Communication and Team Performance in Competitive Online Multiplayer Games Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems Pages 4337-4350
3. Bang Xia, Huiwen Wang, Ronggang Zhou (2017) ,What Contributes to Success in MOBA Games? An Empirical Study of Defense of the Ancients 2,DOI: https://doi.org/10.1177/1555412017710599
4. Bartle, R. (1996). Hearts, clubs, diamonds spades: Players who suit MUDs. Journal of MUD Research.
5. Choi, D. and Kim, J. (2004), ‘Why people continue to play online games: in search of critical design factors to increase customer loyalty to online contents’,Cyberpsychology and Behavior, Vol. 7, No. 1, pp. 12-24.
6. Costa, P. T., & McCrae, R. R. (1992). Revised NEO Personality Inventory (NEO-PI-R) and NEO Five-Factor Inventory (NEO-FFI) professional manual. Odessa, FL: Psychological Assessment Resources.
7. Edmund R. Thompson. 2008. Development and Validation of an International English Big-Five Mini-Markers, Personality and Individual Differences, 45(6),542-548
8. E. L. Deci and R. M. Ryan (1985) The general causality orientations scale: Self-determination in personality. Journal of Research in Personality Volume 19, Issue 2, June 1985, Pages 109–134
9. Elizabeth J. Austin , Donald H. Saklofske, Vincent Egan (2005) Personality, well-being and health correlates of trait emotional intelligence. Personality and Individual Differences ,38(3), 547–558
10. Gustavo F. Tondello, Rina R. Wehbe, Lisa Diamond, Marc Busch, Andrzej Marczewski, Lennart E. Nacke .(2016) The Gamification User Types Hexad Scale, ACM 978-1-4503-4456-2/16/10
11. Gosling, S. D., Rentfrow, P. J., & Swann, W. B., Jr. (2003). A very brief measure of the Big-Five personality domains. Journal of Research in Personality, 37, 504–528.
12. Hoffman, L.D. and Novak, P.T. (1996), ‘Marketing in hypermedia computer-mediated environments: conceptual foundations’, Journal of Marketing, Vol. 60, No. 3, pp. 50-68.
13. Johnson D, Wiles J. (2003) Effective affective user interface design in games. Ergonomics .46(13-14):1332-45.
14. John Scott Lewinski (1999) Developer′s guide to computer game. Texas:Wordware Publishing.
15. John, O. P., & Srivastava, S. (1999). The Big-Five trait taxonomy: History, measurement, and theoretical perspectives. In L. A. Pervin & O. P. John (Eds.), Handbook of personality: Theory and research (Vol. 2, pp. 102–138). New York: Guilford Press.
16. J. Jansz and M. Tanis, (2007) “Appeal of Playing Online First Person Shooter Games.”CyberPsychology & Behavior,10(1), 133-136.
17. Kahn, A. S., Shen, C., Lu, L., Ratan, R. A., Coary, S., Hou, J., Meng, J., Osborn, J., & Williams, D. （2015）. The Trojan Player Typology: A cross-genre, cross-cultural, behaviorally validated scale of video game play motivations. Computers in Human Behavior, 49, 354-361.
18. Klug, G. C., & Schell, J. (2006). Why people play games: An industry perspective. In P. Vorderer & J. Bryant (Eds.), Playing video games: Motives, responses, and consequences (pp. 91–100). New York, NY: Routledge.
19. Lepper, Mark R.; Greene, David; Nisbett, Richard E. (1973) Undermining children′s intrinsic interest with extrinsic reward: A test of the "overjustification" hypothesis. Journal of Personality and Social Psychology, Vol 28(1), Oct 1973, 129-137.
20. McCrae, Robert R.; Costa, Paul T.1985.Updating Norman′s "Adequate Taxonomy": intelligence and personality dimensions in natural language and in questionnaires. , Journal of Personality and Social Psychology, Vol 49(3), Sep 1985, 710-721.
21. Malone, T.W. and Lepper, M.R. (1987), ‘Making learning fun: a taxonomy of intrinsic motivations of learning’, Aptitude, Learning, and Instruction: Conative and Affective Process Analyses, Vol. 3, pp. 223-253.
22. McCrae,RR. , Costa,PT. (2003) Personality in Adulthood: A Five-factor Theory Perspective
23. Novak, T. P., Hoffman, D. L., & Yung, Y. F. (2000). Measuring the customer experience in online environments: A structural modeling approach. Marketing science, 19(1), 22-42.
24. Pervin, L. A., Personality: Theory and Research 6th ed., New York: Wiley.
25. Rayboum, E.M. (1997), ‘Computer game design: new directions for intercultural simulation game designers’, Developments in Business Simulation and Experiential Learning, Vol. 24, pp. 144-145.
26. Rieber, L. P. (1996). Seriously considering play: Designing interactive learning environments based on the blending of microworlds, simulations, and games. Educational Technology Research & Development, 44(2), 43-58
27. Robert R. McCrae ,Oliver P. John. 1992. An Introduction to the Five-Factor Model and Its Applications, Journal of Personality,60(2),175-215.
28. Sherry, J. L., Lucas, K., Greenberg, B. S., & Lachlan, K. (2006). Video game uses and gratifications as predictors of use and game preferences. In P. Vorderer & J.Bryant (Eds.), Playing video games: Motives, responses, and consequences (pp. 213–224). New York, NY: Routledge.
29. Saucier G.1994. Mini-markers: a brief version of Goldberg′s unipolar big-five markers. Journal of Personality Assessment,63(3),506-516.
30. Sherry, J., Lucas, L., Greenberg, K.B.S. and Lachlan, K. (2003), ‘Video game uses and gratifications as predictors of use and game preference’, Proceedings of Mass Communication Division, International Communication Association Annual Convention, San Diego, CA.
31. Sarah E. Hampson and Lewis R. Goldberg, 2006. A First Large-Cohort Study of Personality-Trait Stability Over the 40 Years Between Elementary School and Midlife Journal of Personality and Social Psychology, Vol 91(4), Oct 2006, 763-779.
32. Schutte, Nicola S.; Malouff, John M.(2004) University Student Reading Preferences in Relation to the Big Five Personality Dimensions Reading Psychology an international quarterly, 25 (4),273-295
33. Teng CI, Chang SS, Hsu KH.(2009)Emotional stability of nurses: impact on patient safety.65(10),2088-96.
34. Tara C. Marshall, Katharina Lefringhausen, Nelli Ferenczi (2015) The Big Five, self-esteem, and narcissism as predictors of the topics people write about in Facebook status updates Personality and Individual Differences ,85,35–40
35. Yee, N. (2006). Motivations for play in online games. CyberPsychology & Behavior,9(6), 772–775.
36. Young Ji Kim , David Engel , Anita Williams Woolley, Jeffrey Yu-Ting Lin , Naomi McArthur , Thomas W. Malone (2017) What Makes a Strong Team? Using Collective Intelligence to Predict Team Performance in League of Legends , Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing Pages 2316-2329

指導教授

許秉瑜、沈國基(Ping-Yu Hsu Gwo-Ji Sheen)

審核日期

2017-6-23

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