研究限制

第五章結論與建議

5.3 研究限制

最後，本研究也必須承認這個探索性研究上的一些限制。首先，在使用者遊戲經驗方面，參與本研究問卷的受訪者皆是台灣的大專院校學生，因此我們並不能保證本研究所發現的結果也能夠用來解釋包括青少年或兒童的遊戲經驗與行為。除此之外，由於亞洲、歐洲、美國等地區在遊戲的文化上可能有不同的風格與型態，這些文化上的問題是否也會對遊戲玩家的經驗與其沉迷的行為造成影響，也需要未來的研究做更進一步的確認。

再者，本研究並沒有特別針對玩家的性別差異議題進行深入的探討。在研究一的部份，我們僅以男性玩家的樣本進行研究；在研究二的部份，我們也沒有發現男性玩家和女性玩家在沉迷的分數上有所差異。然而，就玩家沉迷的行為而言，研究二的結果與過去研究的結果並不一致。學者Chiu, Lee & Huang (2004) 從心理的角度發現男女之間的沉迷程度有所不同，男生顯著較女生更容易被遊戲所吸引；另外也有從生理方面的研究指出，成年男性玩家較女性玩家更容易沉迷於遊戲之中(Ko et al., 2005)。雖然本研究在遊戲時間長短上也說明了男性玩家遊戲的時間較女性為長，然而在沉迷指數上並不顯著。我們建議未來的研究可以透過更為嚴謹的實驗過程來探討男女性玩家在遊戲經驗與遊戲行為上的差異。

此外，本研究雖然指出影響線上遊戲沉迷的使用者經驗因素並且推論其形成沉迷現象的可能機制，然而，這些在使用者經驗與行為層次的設計元素，依然太過於概念化，並不能像研究主題一中的可用資訊與可用資源兩個設計特徵，能夠被直接應用在遊戲的設計上。因此，我們鼓勵未來的研究應繼續針對本研究所架構的線上遊戲使用者經驗模型，為本研究的十一個使用者經驗要素提出更細部的設計原則與可實現的設計特徵，才能夠真正將實現本研究所提出的以使用者為中心的遊戲設計設計方法，並將結果實際應用與落實在遊戲的設計上。

最後，就玩家的沉迷行為而言，雖然本研究所提出的迴歸方程式找出了五個影響沉迷的要素，然而，就實務的觀點來看線上沉迷的防治上，我們並不能一昩的將這五個顯著的迴歸因素做最小化的設計或是直接將其從遊戲中移除。因為這些影響沉迷的變數可能也同時影響到遊戲的正向吸引力(positive attraction)，也就是一般常說的遊戲好玩性(fun)或是玩家的心流經驗(flow)。由於玩遊戲的目的即為尋求好玩性，這是眾所皆知的事實。許多研究也已經指出，遊戲的好玩家是決定一個遊戲能不能成功的決定性因素(Lo, Wang, & Fang, 2005; Myers, 1990;

Novak, Hoffman, & Yung, 2000)。因此，若遊戲失去了正向的吸引力可能也導致遊戲可能根本就沒有使用者來玩，若是這樣，遊戲的生命週期將會縮短，且遊戲的公司也會面臨營運上的壓力與考驗。

從企業營運的觀點來看，若能夠找出設計因素對於好玩感與沉迷影響的介限。因此，未來的研究能夠在本研究所提出的線上遊戲使用者經驗要素的架構上以及考量本研究所提出的沉迷預測公式，找出一個如此可以在營運與沉迷防治上取得平衡點。本研究也曾針對此一概念嘗試探尋高好玩性/低沉迷性的遊戲，然而卻發現沉迷與好玩兩種經驗是相依成長，亦即高好玩性也將大有機會提高玩家沉迷的機會。是否真有好玩但不易沉迷的遊戲存在？我們留下這個目前無法回答的研究的問題供後續研究學者探尋進一步的答案。

最後，本研究在玩家沉迷行為上所做的結論與提出的建議，並不與過去那些以玩家個體背景、生活型態、人格特質、自尊高低、家庭結構研究對線上遊戲沉迷所提出的結論與貢獻(Griffiths, 2002; Yee, 2002)有所衝突。事實上，本研究相信當下最好防治沉迷的方法應該是雙管齊下，也就是依循本研究的結論，從使用者的角度進行遊戲的設計；除此之外，也同時對先前研究所提出那些影響玩家沉迷行為的個體背景與家庭環境因素進行關切。

參考文獻

1. Asgari, M. & Kaufman, D. (2004). Intrinsic motivation and game design. Annual Conference of the International Simulation and Gaming Association (ISAGA) and Conjoint Conference of SAGSAGA, pp. 6-10

2. Alderfer, C. P. (1972). Existence, Relatedness and Growth: Human Needs in Organizational Settings, The Free Press, New York.

3. Amit, R., & Schoemaker, P., (1993) Strategic assets and organizational rent.

Strategic Management Journal.14, pp. 33-46.

4. Barfield, W., & Williges, R. C. (1998). Special Section Preface: Virtual environments: Models, methodology, and empirical studies [Special issue].

Human Factors, 40 (3), pp. 351-353.

5. Bartle, R. (1996). Hearts, Clubs, Diamonds, Spades: Players Who Suit MUDs.

The Journal of Virtual Environment 1 (1).

6. Berlyne, D. E. (1966). Curiosity and exploration. Science, 153(3731), 25-33.

7. Bessiere, K., Seay, A. F., & Kiesler, S. (2007). The Ideal Elf: Identity Exploration in World of Warcraft. CyberPsychology & Behavior, 10(4), 530-535.

8. Bishop, L. D., Eberly, T. Whitted, M. Finch, and M. Shantz, (1998). Designing a PC Game Engine, IEEE Computer Graphics and Applications, pp. 46-53.

9. Blythe, M., Overbeeke, K., Monk, A., & Wright, P. (Eds.). (2003). Funology:

From Usability to Enjoyment, Kluwer Academic Publishers, The Netherlands.

10. Brenner, V. (1996). An initial report on the on-line assessment of Internet addiction: The first 30 days of the Internet usage survey. Available:

http://www.ccsnet.com/prep/pap/pap8b/638b012p.txt

11. Campbell, D.J. (1988). Task complexity: A review and analysis. Academy of Management Review, 13(1), pp. 40-52.

12. Cannon-Bowers, J.A., Salas, E., & Pruitt, J.S. (1996). Establishing the boundaries of a paradigm for decision-making research. Human Factors, 38(2): 193-205.

13. Carmeli, A., Tishler, A., (2004). Resources, capabilities, and the performance of industrial firms: A multivariate analysis. Managerial and Decision Economics, Vol.

25, pp. 299-315.

14. Cesarone, B. (1998). Video games: Research, ratings, recommendations. (ERIC Document Reproduction Service No. ED 424 038) Available:

<http://ericeece.org/pubs/digests/1998/cesar98.html>

15. Chiu, S. I., Lee, J. Z. Huang, D. H. (2004). Video game addiction in children and teenagers in Taiwan. CyberPsychology & Behavior, 7(5), pp. 571-581.

16. Choi, D. & Kim, J. (2004). Why people continue to play online games: in search of critical design factors to increase customer loyalty to online contents.

CyberPsychology & Behavior, 7, No. 1, pp. 11-24

17. Chou, T. J., & Ting, C. C. (2003). The role of flow experience in cyber-game addiction. CyberPsychology & Behavior, 6(6), pp. 663-675.

18. Chou, C., & Hsiao, M. C. (2000). Internet addiction, usage, gratification, and pleasure experience: the Taiwan college students’ case. Computer & Education, 35, pp. 65-80.

19. Chuang, Y. C. (2006). Massively multiplayer online role-playing game-induced seizures: a neglected health problem in internet addiction. Cyberpsychology &

Behavior, 9(4), pp. 451–456.

20. Churchill, G. A. (1991). Marketing research: Methodological Foundation (5th ed.).

New York: The Dryden Press.

21. Clanton, C. (1998). An interpreted demonstration of computer game design. CHI 98 conference summary on Human factors in computing systems, pp. 1-2.

22. Clymo, P. (1996). Home video game playing in schoolchildren: A study of

incidence and patterns of play. Youth Studies, 15, pp 59.

23. Cohen, K.J., & Cyert, R.M. (1975). Theory of the Firm: Resource Allocation in a Market Economy, 2d ed. Englewood Cliffs, NJ: Prentice–Hall.

24. Colburn, R. A., Cohen, M. F., & Drucker, S. M. (2000). The role of eye gaze in avatar-mediated conversational interfaces.

25. Crawford, C. (1982). The Art of Computer Game Design. Available:

<http://www.vancouver.wsu.edu/pac/peabody/game-book/>

26. Cressy, C. J. (1997). Towards the design and implementation of computer-modeled opponents for use in entertainment and educational software:

some initial considerations, Computers in Human Behavior, 13(2), pp.181-203.

27. Csikszentmihalyi, M. (1975). Beyond boredom and anxiety. San Francisco, Jossey-Bass.

28. Csikszentmihalyi, M. (1990). Flow: The Psychology of Optimal Experience.

Harper Perennial, New York.

29. Csikszentmihalyi, M. (1992). Flow: The psychology of happiness. London: Rider 30. Deci, E.L., & Ryan, R.M. (1987). The Support of Autonomy and the Control of

Behavior. Journal of Personality and Social Psychology, 53(6), pp. 1024-1037.

31. Desurvire, H., Caplan, M. & Toth, J. A. (2004), Using heuristics to evaluate the playability of games, in ‘Extended Abstracts of the 2004 conference on Human factors in computing systems’, ACM Press, pp. 1509–1512.

32. Diani, M., and McAdam, D. (2002). Social movement analysis: The network perspective. Oxford: Oxford University Press.

33. Draper, S. W. (2000). Analyzing fun as a candidate software requirement.

Personal Technologies. 3, pp. 117-122.

34. Ducheneaut, N. and Moore, R. J. (2004). Gaining more than experience points:

Learning social behavior in multiplayer computer games. CHI 2004 Workshop on

Social Learning Through Gaming, April 19; Vienna; Austria., Available:

<http://www.parc.com/research/publications/details.php?id=5151>

35. Ducheneaut, N., Yee, N. Nickell, E., Moore, R. J. (2006). "Alone together?": exploring the social dynamics of massively multiplayer online games.

Proceedings of the SIGCHI conference on Human Factors in computing systems.

pp. 407-416.

36. Ducheneaut, N., Wen, M.H., Yee, N., Wadley, G. (2009). Body and Mind: A Study of Avatar Personalization in Three Virtual Worlds, Proceedings of the 27th Annual ACM Conference on Human Factors in Computing Systems (CHI 2009); 2009 April 4-9; Boston; USA: ACM; 2009.

37. Eberly, D. H. (2001). 3D game engine design: A practical approach to real-time computer graphics, San Francisco: Morgan Kaufmann.

38. Eiser, J.R. & van der Pligt, J. (1988). Attitudes and decisions, London, Routledge.

39. Endsley, M.R. (1995). Measurement of situation awareness in dynamic systems.

Human Factors, 37(1): 65-84.

40. Entertainment Software Association (2004). Essential Facts about the Computer and Video Game Industry.

41. Entertainment Software Association (2005). Essential Facts about the Computer and Video Game Industry.

42. Entertainment Software Association (2006). Essential Facts about the Computer and Video Game Industry.

43. Fabricatore, C., Nussbaum, M. & Rosas, R. (2002). Playability in action videogames: A qualitative design model. Human-Computer interaction, 17:

311-368.

44. Federoff, M. A. (2002). Heuristics and usability guidelines for the creation and evaluation of fun in video games. Master’s thesis, Department of

Telecommunications of Indiana University.

45. Garris, R., Ahlers, R., & Driskell, J. E. (2002). Games, motivation, and learning: a research and practice model. Simulation & Gaming, 33(4), 441-467

46. Gold, S. N., & Heffner, C. L. (1998). Sexual addiction: many conceptions, minimal data. Clinical Psychology Review, 18, pp. 367-381.

47. Goldberg, I. (1996). Internet addiction disorder. Available:

<www.phyaics.wisc.edu/~shaizi/internet_addition_criteria.html>

48. Griffiths, M. (1998). Internet addiction: Does it really exist? In: J. Gackenbach (ed.), Psychology and the Internet: Intrapersonal, interpersonal, and transpersonal implications. pp. 61- 75. San Diego: Academic Press.

49. Griffiths, M. (2002). Gambling and Gaming Addictions in Adolescence. Leicester, UK: Wiley-Blackwell.

50. Hassenzahl M, Platz A, Burmester M and Lehner, K. 2000. Hedonic and Ergonomic Quality Aspects Determine a Software's Appeal, Proceedings of CHI 2000: Human Factors in Computing Systems. NY: ACM Press, pp. 201-208.

51. Hecker, C. (2000). Physics in Computer Games. Communications of the ACM, 43(7), pp. 35-39.

52. Hong, J.C., & Liu, M.C. (2003). A study on thinking strategy between experts and novices of computer games. Computers in Human Behavior, 19: 245-258.

53. Hsu, S.H., Lee, F.L., & Wu, M.C. (2005). Designing action games for appealing to buyers. CyberPsychology & Behavior, 8 (6): 585-591.

54. Hsu, S. H., Kao, C. H., & Wu, M. C. (2007). Factors Influencing Player Preferences for Heroic Roles in Role-Playing Games. CyberPsychology &

Behavior 10(2), 293-295.

55. Interactive Digital Software Association (2002). Essential Facts About the Computer and Video Game Industry. Washington, DC: Interactive Digital

Software Association. Available: <http://www.idsa.com>

56. Johnson, D. & Wiles, J. (2003). Effective affective user interface design in games.

Ergonomics, 46, (13/14), pp. 1332-1345.

57. Jones, M. G. (1998). Creating engagement in computer-based learning environments. Available: <http://itech1.coe.uga.edu/itforum/paper30>

58. Kanev, K. & Sugiyama, T. (1998). Design and simulation of interactive 3D computer games, Computers & Graphics, 22(2-3), pp. 281-300.

59. Kelly, R. V. (2004). Massively Multiplayer Online Role-Playing Games: The People, the Addiction and the Playing Experience. Jefferson, NC: McFarland &

Company.

60. Kirschenbaum, S. S. (2001). Analyzing submarine decision making: A question of levels. In E. Salas & G. Klein (Eds.), Linking expertise and naturalistic decision making (pp. 189-207). Mahwah, NJ: Lawrence Erlbaum Associates.

61. Klein, G. A., & Woods, D. D. (1993).Conclusions: Decision making in action. In G.

A. Klein, J. Orasanu, R. Calderwood, & C. E. Zsambok (Eds.), Decision Making in Action: Models and Methods. Norwood, NJ: Ablex.

62. Ko, C. H., Yen, J. Y., Chen, C. C., Chen, S. H., & Yen, C. F. (2005). Gender Differences and Related Factors Affecting Online Gaming Addiction Among Taiwanese Adolescents. The Journal of Nervous and Mental Disease, 193(4), 273-277.

63. Lazzaro, N. (2004). Why We Play Games: Four Keys to More Emotion in Player Experiences, Proceedings of the Game Developers Conference, pp. 22-16.

64. Li, S. M., Chung, T. M. (2004). Internet function and internet addictive behavior.

Computer in Human Behavior, 22, pp. 1067-1071.

65. Lo, S. K., Wang, C. C., Fang, W. (2005). Physical Interpersonal Relationships and Social Anxiety among Online Game Players. CyberPsychology & Behavior, 8(1), pp. 15-20.

66. Malone, T.W. (1980). What makes things fun to learn? Heuristics for designing instructional computer games. Proceedings of the 3rd ACM SIGSMALL Symposium and the first SIGPC Symposium on small system, pp. 162-169.

67. Malone, T.W. (1981). Toward a theory of intrinsically motivated instruction.

Cognitive Science 4: 333-369.

68. Malone, T.W. & Lepper, M.R. (1987). Making learning fun: A taxonomy of intrinsic motivations for learning. In: Snow, R.E. & Farr, M.J. eds. Aptitude, learning, and instruction, III: Conative and affective process analysis. Hillsale, NJ, Lawrence Erlbaum Associate, Inc., pp. 223-253.

69. Maslow, A. H. (1954). Motivation and personality. New York: Harper.

70. McClelland, D. C. (1961). The achieving society Princeton, N J: Van Nostrand.

71. Miller, C.E. (1980). Effects of payoffs and resources: A test of four theories of coalition formation. Journal of Personality and Social Psychology, 38: 153-164.

72. Moore, R. J., & Ducheneaut, N. (2007). Doing virtually nothing: awareness and accountability in massively multiplayer online worlds. Computer Supported Cooperative Work, 16(3), 265-305.

73. Myers, D. (1990). A Q-Study of Game Player Aesthetics. Simulation & Gaming, 21(4): 375–396.

74. Ng. B.D., Wiemer-Hastings, P. (2005). Addiction to the Internet and Online Gameing. Cyberpsychology & Behavior, 8(2), pp. 110-113.

75. Nunnally, J. C. (1978). Psychometric theory (2nd ed.). New York: McGraw-Hill.

76. Norman, Donald A. (2004), Emotional Design: Why We Love (Or Hate) Everyday Things, Basic Books.

77. Novak, T. P., Hoffman, D. L., Yung, Y. F. (2000). Measuring the customer experience in on-line environments: A structural modeling approach. Marketing Science, 19(1), pp. 22–42.

78. Pagulayan, R.J., Keeker, K., Wixon, D., Romero, R.L. & Fuller, T. (2003).

User-centered design in games, In: Jacko, J.A. & Sears, A.E. eds. The human-computer interaction handbook: Fundamentals, evolving technologies and emerging applications. Hillsale, NJ, Lawrence Erlbaum Associate, Inc., pp.

883-906.

79. Pausch, R. (1994). What HCI designers can learn from video game designers, Proceedings of the ACM Computer Human Interaction Conference, pp. 177-178.

80. Picard, R. W. (1997). Affective Computing, Cambridge: MIT Press.

81. Pisan, Y. (2007). My guild, my people: role of guilds in massively multiplayer online games. Paper presented at the Proceedings of the 4th Australasian conference on Interactive entertainment, Melbourne, Australia

82. Randel, J., Lauren, P., and Stephen R., (1996). Differences in Expert and Novice Situation Awareness in Naturalistic Decision Making. International Journal of Human-Computer Studies. 45, pp. 579-597.

83. Rasmusen, E. (2001). Games and information: An introduction to game theory.

(3rd ed.), Malden, Massachusetts, Blackwell Publishers.

84. Rau, P., Peng, S. Y., Yang, C. C. (2006). Time distortion for expert and novice online game players. CyberPsychology & Behavior, 9(4), pp. 396-403.

85. Rheingold, H., (1994), The virtual community: finding connection in a computerized world, London, Secker & Warburg.

86. Rieber, L. P. (1996). Seriously Considering Play: Designing Interactive Learning Environments Based on the Blending of Microwords, Educational Technology Research and Development, 44(2), pp. 43-58.

87. Rosas, R., Nussbaum, M., Cumsille, P., Marianov, V., Correa, M., (2003). Beyond Nintendo: design and assessment of educational video games for first and second grade students. Computers & Education, 40, pp. 71-94.

88. Rouse, R. (2001). Game Design: Theory & Practice. Wordware, Inc.

89. Rouwette, E., Größler, A., & Vennix, J. (2004). Exploring influencing factors on rationality: A literature review of dynamic decision-making studies in system dynamics. Systems Research and Behavioral Science, 21: 351-370.

90. Salen, K. & Zimmerman, E., (2004). Rules of Play. Game Design Fundamentals.

Cambridge, Massachusetts and London, England: The MIT Press.

91. Schell, J. (2001). Understanding entrainment: A whole-brain approach. In J. A.

Jacko & A. Dears (Eds.) Handbook of Human-computer Interaction. Hillsdale, NJ:

Lawrence Erlbaum Associates, Inc.

92. Seay, A. F., Jerome, W. J., Lee, K. S., & Kraut, R. E. (2004). Project massive: a study of online gaming communities. Paper presented at the Conference on Human Factors in Computing Systems (CHI 2004), Vienna, Austria.

93. Sellar, T. (2004). User Experience in Interactive Computer Game Development, 6th Asia Pacific Conference, APCHI 2004, Rotorua, New Zealand, pp. 675-681.

94. Sengupta, K., & Abdel-Hamid, T.K. (1993). Alternative conceptions of feedback in dynamic decision environments: An experimental investigation. Management Science, 39(4), pp. 411-428.

95. Shneiderman, B. (2004). Designing for fun: How can we design user interfaces to be more fun? ACM Interactions, 11(5): 48-50.

96. Simon, H. A. (1960), The New Science of Management Decision, New York:

Harper & Row, Publishers, Inc.

97. Song, I., Larose, R., Eastin, M.S., & Lin, C.A. (2004), Internet Gratifications and Internet Addiction: On the Uses and Abuses of New Media. CyberPsychology &

在文檔中電腦遊戲設計對使用者遊玩經驗與行為的影響 (頁 57-70)

第五章 結論與建議

5.3 研究限制

參考文獻

第五章結論與建議