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Fuzzy AHP for determining the key features and cognitive differences of mobile game development among designer and game player

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Abstract

Previous studies have assessed the elements of a game design from game players’ viewpoints. Scant research has been conducted from the perspectives of both game players and game developers. This study explored the cognitive difference among game players and game developers in the importance of online game designs by employing the fuzzy analytic hierarchy process (FAHP) to analyze the importance of puzzle game designs. The online game design hierarchical framework comprising 3 systems, 9 components, and 29 factors was established. The research findings are summarized as follows: 1) System quality is the most crucial design component. 2) Game development should primarily focus on technology followed by aesthetics. 3) A gap exists in the perception of game players and game developers on the design component “service quality.” Finally, researchers can adopt the multiple criteria decision-making model used in this current study to rank the importance of design contents for cultural and creative industries.

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References

  1. Armitage GJ, Zander S (2004) Empirically measuring the QoS sensitivity of interactive online game players.

  2. Billieux J, Van der Linden M, Achab S, Khazaal Y, Paraskevopoulos L, Zullino D, Thorens G (2013) Why do you play World of Warcraft? An in-depth exploration of self-reported motivations to play online and in-game behaviours in the virtual world of Azeroth. Comput Hum Behav 29 (1):103–109. doi:10.1016/j.chb.2012.07.021

  3. Bishop L, Eberly D, Whitted T, Finch M, Shantz M (1998) Designing a PC game engine. Comput Graph Appl, IEEE 18(1):46–53. doi:10.1109/38.637270

    Article  Google Scholar 

  4. Buckley JJ (1985) Fuzzy hierarchical analysis. Fuzzy Sets Syst 17 (3):233–247. doi:10.1016/0165-0114(85)90090-9

  5. Burns CG, Fairclough SH (2015) Use of auditory event-related potentials to measure immersion during a computer game. Int J Hum-Comput Stud 73:107–114. doi:10.1016/j.ijhcs.2014.09.002

    Article  Google Scholar 

  6. Chang T-S, Ku C-Y, Fu H-P (2013) Grey theory analysis of online population and online game industry revenue in Taiwan. Technol Forecast Soc Chang 80 (1):175–185. doi:10.1016/j.techfore.2012.06.009

  7. Chen K-T, Huang P, Lei C-L (2006) How sensitive are online gamers to network quality? Commun ACM 49(11):34–38. doi:10.1145/1167838.1167859

    Article  Google Scholar 

  8. Chittaro L, Sioni R (2014) Affective computing vs. affective placebo: Study of a biofeedback-controlled game for relaxation training. Int J Hum-Comput Stud 72(8–9):663–673. doi:10.1016/j.ijhcs.2014.01.007

    Article  Google Scholar 

  9. Collins E, Cox AL (2014) Switch on to games: Can digital games aid post-work recovery? Int J Hum-Comput Stud 72(8–9):654–662. doi:10.1016/j.ijhcs.2013.12.006

    Article  Google Scholar 

  10. Cortiñasa M, Elorza M, Villanuevaa ML (2004) Retail store loyalty management via an analysis of heterogeneity of the service elements. Int Rev Retail, Detail, Distrib, Consum Res 14(4):407–436

    Article  Google Scholar 

  11. Crawford G (2015) Is it in the Game? Reconsidering Play Spaces, Game Definitions, Theming, and Sports Videogames. Games Cult 10(6):571–592. doi:10.1177/1555412014566235

    Article  Google Scholar 

  12. Cronin JJ, Jr., Taylor SA (1992) Measuring service quality: a reexamination and extension. J Mark Res 56:55–68

  13. DeLone WH, McLean ER (1992) Information systems success: The quest for the dependent variable. Inf Syst Res 3:60–59

  14. Devaraj S, Fan M, Kohli R (2002) Antecedents of B2C Channel Satisfaction and Preference: Validating e-Commerce Metrics. Inf Syst Res 13 (3):316–333. doi:10.1287/isre.13.3.316.77

  15. Hainey T, Connolly T, Stansfield M, Boyle E (2011) The differences in motivations of online game players and offline game players: A combined analysis of three studies at higher education level. Comput Educ 57(4):2197–2211. doi:10.1016/j.compedu.2011.06.001

    Article  Google Scholar 

  16. Hsiao C-C, Chiou J-S (2012) The effects of a player’s network centrality on resource accessibility, game enjoyment, and continuance intention: A study on online gaming communities. Electron Commer Res Appl 11 (1):75–84. doi:10.1016/j.elerap.2011.10.001

  17. Hsu C-L, Lin JC-C (2015) What drives purchase intention for paid mobile apps? – An expectation confirmation model with perceived value. Electron Commer Res Appl 14 (1):46–57. doi:10.1016/j.elerap.2014.11.003

  18. Hsu C-L, Lu H-P (2004) Why do people play on-line games? An extended TAM with social influences and flow experience. Inf Manag 41(7):853–868. doi:10.1016/j.im.2003.08.014

    Article  Google Scholar 

  19. Hsu C-L, Lu H-P (2007) Consumer behavior in online game communities: A motivational factor perspective. Comput Hum Behav 23 (3):1642–1659. doi:10.1016/j.chb.2005.09.001

  20. Hsu SH, Lee FL, Wu MC (2005) Designing action games for appealing to buyers. CyberPsychology Behav 8(6):585–591

    Article  Google Scholar 

  21. Jacobs G, Ip B (2005) Establishing user requirements: incorporating gamer preferences into interactive games design. Des Stud 26 (3):243–255. doi:10.1016/j.destud.2004.06.006

  22. Kleinsmith A, Gillies M (2013) Customizing by doing for responsive video game characters. Int J Hum-Comput Stud 71(7–8):775–784. doi:10.1016/j.ijhcs.2013.03.005

    Article  Google Scholar 

  23. Koo D-M (2009) The moderating role of locus of control on the links between experiential motives and intention to play online games. Comput Hum Behav 25 (2):466–474. doi:10.1016/j.chb.2008.10.010

  24. Kosmadoudi Z, Lim T, Ritchie J, Louchart S, Liu Y, Sung R (2013) Engineering design using game-enhanced CAD: The potential to augment the user experience with game elements. Comput Aided Des 45 (3):777–795. doi:10.1016/j.cad.2012.08.001

  25. Kwon C, Kim Y, Woo T (2015) Digital–Physical Reality Game: Mapping of Physical Space With Fantasy in Context-Based Learning Games. Games Cult. doi:10.1177/1555412014568789

    Google Scholar 

  26. Lipscomb SD, Zehnder SM (2004) Immersion in the virtual environment: The effect of a musical score on the video gaming experience. J Physiol Anthropol Appl Hum Sci 23 (6):337–343

  27. Lo Y-F, Wen M-H (2010) A fuzzy-AHP-based technique for the decision of design feature selection in Massively Multiplayer Online Role-Playing Game development. Expert Syst Appl 37 (12):8685–8693. doi:10.1016/j.eswa.2010.06.059

  28. Luo L, Liu J, Shao L, Lu W, Ye M (2006) A context-aware smart-call-center solution: Improving customer service for online games. IBM Syst J 45(1):145–160

    Article  Google Scholar 

  29. Malone TW, Lepper MR (1987) Making learning fun: A taxonomy of intrinsic motivations for learning. In R. E. Snow & M. J. Farr (Eds.), Aptitude, Learn Instr, III: Conative and affective process analysis. Lawrence Erlbaum Associate, Inc, Hillsale, NJ

  30. Moon J-W, Kim Y-G (2001) Extending the TAM for a World-Wide-Web context. Inf Manag 38(4):217–230. doi:10.1016/S0378-7206(00)00061-6

    Article  MathSciNet  Google Scholar 

  31. Murray JH (1997) Hamlet on the Holodeck: the future of narrative in cyberspace. MIT Press, Baltimore & London

  32. Norman DA (2002) The design of everyday things. Basic Books, New York

    Google Scholar 

  33. Norman DA (2004) Emotional design: why we love (or hate) everyday things. Basic Books, New York

  34. Oliver R.L. (1999) Whence consumer loyalty? J Mark 63 (Special Issue.):33–44

  35. Park B-W, Lee KC (2011) Exploring the value of purchasing online game items. Comput Hum Behav 27 (6):2178–2185. doi:10.1016/j.chb.2011.06.013

  36. Pitt LF, Watson RT, Kavan CB (1995) Service quality: A measure of information systems effectiveness. MIS Q 19:173–187

  37. Reichheld FF, Markey RGJ, Hopton C (2000) E-customer loyalty – Applying the traditional rules of business for online success. Eur Bus J 12 (4):173–179

  38. Rezaei S, Ghodsi SS (2014) Does value matters in playing online game? An empirical study among massively multiplayer online role-playing games (MMORPGs). Comput Hum Behav 35 (0):252–266. doi:10.1016/j.chb.2014.03.002

  39. Rodgers W, Negash S, Suk K (2005) The moderating effect of on-line experience on the antecedents and consequences of on-line satisfaction. Psychol Mark 22 (4):313–331. doi:10.1002/mar.20061

  40. Rohm AJ, Swaminathan V (2004) A typology of online shoppers based on shopping motivations. J Bus Res 57 (7):748–757. doi:10.1016/S0148-2963(02)00351-X

  41. Ruoning X, Xiaoyan Z (1992) Extensions of the analytic hierarchy process in fuzzy environment. Fuzzy Sets Syst 52 (3):251–257. doi:10.1016/0165-0114(92)90236-W

  42. Saaty TL (1980) The analytic hierarchy process. McGraw-Hill, New York

  43. Schell J (2008) Art game design – a book of lenses. CRC Press, Boca Raton

    Google Scholar 

  44. Seaborn K, Fels DI (2015) Gamification in theory and action: A survey. Int J Hum-Comput Stud 74:14–31. doi:10.1016/j.ijhcs.2014.09.006

    Article  Google Scholar 

  45. Seok S, DaCosta B (2015) Predicting Video Game Behavior: An Investigation of the Relationship Between Personality and Mobile Game Play. Games Cult 10(5):481–501. doi:10.1177/1555412014565640

    Article  Google Scholar 

  46. Skogland I, Siguaw JA (2004) Are your satisfied customers loyal? Cornell Hotel Restaur Admin Q 46 (3):221–234

  47. Sweetser P, Wyeth P (2005) GameFlow: a model for evaluating player enjoyment in games. Comm-ent 3(3):3–3. doi:10.1145/1077246.1077253

    Google Scholar 

  48. Teng JY, Tzeng GH (1998) Transportation investment project selection using fuzzy multiobjective programming. Fuzzy Sets Syst 96 (3):259–280

  49. Tsai HT, Huang HC, Jaw YL, Chen WK (2006) Why on-line customers remain with a particular e-retailer: An integrative model and empirical evidence. Psychol Mark 23(5):447–464

    Article  Google Scholar 

  50. Venkatesh V, Morris MG, Davis GB, Davis FD (2003) User acceptance of information technology: Toward a unified view. MIS Q 27 (3):425–478

  51. Wang R, Du H, Zhou F, Deng D, Liu Y (2013) An adaptive neural fuzzy network clothing comfort evaluation model and application in digital home. Multimedia Tools Appl 71(2):395–410. doi:10.1007/s11042-013-1519-4

    Article  Google Scholar 

  52. Wu J-H, Wang S-C, Tsai H-H (2010) Falling in love with online games: The uses and gratifications perspective. Comput Hum Behav 26 (6):1862–1871. doi:10.1016/j.chb.2010.07.033

  53. Yang H-E, Wu C-C, Wang K-C (2009) An empirical analysis of online game service satisfaction and loyalty. Expert Syst Appl 36 (2, Part 1):1816–1825. doi:10.1016/j.eswa.2007.12.005

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Acknowledgments

Funding of this research work was partly supported by Ministry of Science and Technology (MOST), Taiwan, under Grant numbers: MOST 103-2410-H-142-006 and MOST 104-2410-H-142-017-MY2.

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Correspondence to Chih-Hung Wu.

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Hwang, BN., Pai, NY. & Wu, CH. Fuzzy AHP for determining the key features and cognitive differences of mobile game development among designer and game player. Multimed Tools Appl 76, 18265–18290 (2017). https://doi.org/10.1007/s11042-016-3792-5

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