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Effects of Mental Model and Intrinsic Motivation on Behavioral Intention of Smartphone Application Users

  • Received : 2015.03.13
  • Accepted : 2015.12.30
  • Published : 2016.06.01

Abstract

An application that has a simple user interface not only motivates a user to continue using the application, but also enables the user to develop their mental model for the application - the like of which is a product of their interaction with the application. In the information systems literature, little empirical research has been undertaken on the effects of the mental model and motivation on smartphone users' behavioral beliefs. Therefore, the aim of this study is to suggest a research model that can examine the following: 1) the effects that the mental model has not only on smartphone users' behavioral beliefs (that is, perceived usefulness and ease of use of an application) but also on their behavioral intention to use an application and 2) the effects that smartphone users' intrinsic motivation has on their behavioral beliefs through an expansion of the mental model. A survey is conducted, and structural equation modeling is then used to analyze the survey data. The results, through consideration of variables such as intrinsic motivation, perceived usefulness, perceived ease of use, and user satisfaction, indicate that the mental model has an indirect effect on a user's intention to use an application.

Keywords

References

  1. D. Reisinger, Worldwide Smartphone User Base Hits 1 Billion, CNET, 2014, Accessed Oct. 25, 2014. http://www.cnet.com/news/worldwide-smartphone-user-base-hits-1-billion
  2. H.C. Yang, "Bon Appetit for Apps: Young American Consumers' Acceptance of Mobile Applications," J. Comput. Inf. Syst., vol. 53 no. 3, Dec. 2013, pp. 85-96.
  3. S. Perez, Mobile App Usage Increases In 2014, As Mobile Web Surfing Declines, TechCrunch, 2014, Accessed Apr. 25, 2014. http://techcrunch.com/2014/04/01/mobile-app-usage-increases-in-2014-as-mobile-web-surfing-declines
  4. S. Perez, iTunes App Store Now Has 1.2 Million Apps, Has Seen 75 Billion Downloads to Date, TechCrunch, 2014, Accessed June 22, 2014. http://techcrunch.com/2014/06/02/itunes-appstore-now-has-1-2-million-apps-has-seen-75-billion-downloadsto-date
  5. S. Keach, Microsoft Says Windows Phone Now Touts 300,000 Apps, T3, 2014, Accessed Aug. 29, 2014. http://www.t3.com/news/microsoft-says-windows-phone-now-touts-300000-apps
  6. Nielson, Smartphones: So Many Apps, So Much Time, Nielson, 2014, Accessed July, 15, 2014. http://www.nielsen.com/us/en/insights/news/2014/smartphones-so-many-apps--so-muchtime.html
  7. W.J. Jung and H.R. Yim, "The Effects of Cognitive Functions of Smartphone Users on their Behavioral Intention," Int. Conf. Next Generation Comput. Inf. Technol., Ho Chi Minh, Vietnam, Oct. 24-26, 2014, pp. 183-186.
  8. A.J. Elliot and M.V. Covington, "Approach and Avoidance Motivation," Educational Psychology Rev., vol. 13, no. 2, June 2001, pp. 73-92. https://doi.org/10.1023/A:1009009018235
  9. M.B. Holbrook and E.C. Hirschman, "The Experiential Aspects of Consumption: Consumer Fantasies, Feelings, and Fun," J. Consumer Res., vol. 9, Sept. 1982, pp. 132-140. https://doi.org/10.1086/208906
  10. P.N. Johnson-Laird, "Mental Models," in Foundations of Cognitive Science, Cambridge, USA: MIT Press, 1989.
  11. W.B. Rouse and N.M. Morris, "On Looking into the Black Box: Prospects and Limits in the Search for Mental Models," Psychological Bulletin, vol. 100, no. 3, Nov. 1986, pp. 349-363. https://doi.org/10.1037/0033-2909.100.3.349
  12. B. Shneiderman and C. Plaisant, "Designing the User Interface," UK: Addison Wesley, 2005.
  13. P. Tarasewich, "Designing Mobile Commerce Applications," Commun. ACM, vol. 46, 2003, pp. 57-60. https://doi.org/10.1145/953460.953489
  14. S. Lauesen, "User Interface Design: A Software Engineering Perspective," UK: Addison Wesley, 2005.
  15. T.P. Moran, "Guest Editor's Introduction: An Applied Psychology of the User," ACM Computing Surveys, vol. 13, no. 1, Mar. 1981, pp. 1-11. https://doi.org/10.1145/356835.356836
  16. C.E. Hmelo-Silver and M.G. Pfeffer, "Comparing Expert and Novice Understanding of a Complex System from the Perspective of Structures, Behaviors, and Functions," Cognitive Sci., vol. 28, no. 1, Jan. 2004, pp. 127-138. https://doi.org/10.1207/s15516709cog2801_7
  17. E.A. Day, W. Arthur, and D. Gettman, "Knowledge Structures and the Acquisition of a Complex Skill," J. Appl. Psychology, vol. 86, no. 8, Oct. 2001, pp. 1022-1033. https://doi.org/10.1037/0021-9010.86.5.1022
  18. S. Ellis and I. David, "After-event Reviews: Drawing Lessons from Successful and Failed Experience," J. Appl. Psychology, vol. 90, no. 8, Sept. 2005, pp. 857-871. https://doi.org/10.1037/0021-9010.90.5.857
  19. R.A. Finke, T.B. Ward, and S.M. Smith, "Creative Cognition: Theory, Research, and Applications," Cambridge, MA, USA: MIT Press, 1992.
  20. W. He et al., "The Effects of Conceptual Description and Search Practice on Users' Mental Models and Information Seeking in a Case-Based Reasoning Retrieval System," Inf. Process. Manag., vol. 44, no. 1, Jan. 2008, pp. 294-309. https://doi.org/10.1016/j.ipm.2007.03.008
  21. G. Jahn, M. Knauff, and P. Johnson-Laird, "Preferred Mental Models in Reasoning about Spatial Relations," Memory Cognition, vol. 35, no. 8, Dec. 2007, pp. 2075-2087. https://doi.org/10.3758/BF03192939
  22. J.J. Shah et al., "Collaborative Sketching (C-Sketch): An Idea Generation Technique for Engineering Design," J. Creative Behavior, vol. 35, no. 1, June 2001, pp. 168-198. https://doi.org/10.1002/j.2162-6057.2001.tb01045.x
  23. T.B. Ward, M.J. Patterson, and C.M. Sifonis, "The Role of Specificity and Abstraction in Creative Idea Generation," Creativity Res. J., vol. 16, no. 1, June 2004, pp. 1-9. https://doi.org/10.1207/s15326934crj1601_1
  24. M. Csikszentmihalyi, "Creativity: Flow and the Psychology of Discovery and Invention," NY, USA: Harper Collins, 1996.
  25. J.S. Eccles, A. Wigfield, and U. Schiefele, "Motivation to Succeed," in Handbook of Child Psychology: Social, Emotional, and Personality Development, Chichester, UK: John Wiley & Sons, 1998, pp. 1017-1095.
  26. J.C. Turner and H. Patrick, "How Does Motivation Develop and Why Does It Change? Reframing Motivation Research," Educational Psychologist, vol. 43, no. 3, July 2008, pp. 119-131. https://doi.org/10.1080/00461520802178441
  27. S.P. Tao, "Personality, Motivation, and Behavioral Intentions in the Experiential Consumption of Artworks," Social Behavior Personality, vol. 41, no. 9, 2013, pp. 1533-1546. https://doi.org/10.2224/sbp.2013.41.9.1533
  28. W.D. Wells, J. Burnett, and S. Moriarty, "Advertising: Principles and Practice, " Englewood Cliff, NJ, USA: Prentice Hall, 2005.
  29. A.M. Gilbert and J.A. Fiez, "Integrating Rewards and Cognition in the Frontal Cortex," Cognitive, Affective, Behavioral Neuroscience, vol. 4, no. 4, Dec. 2004, pp. 540-552. https://doi.org/10.3758/CABN.4.4.540
  30. D.C. Krawczyk, A. Gazzaley, and M. D'Esposito, "Reward Modulation of Prefrontal and Visual Association Cortex during an Incentive Working Memory Task," Brain Res., vol. 1141, Apr. 2007, pp. 168-177. https://doi.org/10.1016/j.brainres.2007.01.052
  31. M. Watanabe et al., "Behavioral Reactions Reflecting Differential Reward Expectations in Monkeys," Experimental Brain Res., vol. 140, no. 4, Oct. 2000, pp. 511-518. https://doi.org/10.1007/s002210100856
  32. S. Heim, "The Resonant Interface: HCI Foundations for Interaction Design," UK: Pearson Addison-Wesley, 2008.
  33. D. Barclay, C. Higgins, and R. Thompson, "The Partial Least Squares (PLS) Approach to Causal Modeling: Personal Computer Adoption and Use as an Illustration," Technol. Studies, vol. 2, no. 2, 1995, pp. 285-309.
  34. W.W. Chin, "The Partial Least Squares Approach for Structural Equation Modeling," in Marcoulides, G.A. (es), Modern Methods for Business Research, Mahwah, NJ, USA: Lawrence Erlbaum, 1998.
  35. C. Fornell and D.F. Larcker, "Evaluating Structural Equation Models with Unobservable Variables and Measurement Error," J. Marketing Res., vol. 18, no. 1, Feb. 1981, pp. 39-50. https://doi.org/10.2307/3151312
  36. J.F. Hair et al., "Multivariate Data Analysis," Upper Saddle River, NJ, USA: Pearson Prentice Hall, 2006.
  37. A.H. Crespo and I.R. del Bosque, "The Effect of Innovativeness on the Adoption of B2C e-Commerce: A Model Based on the Theory of Planed Behavior," Computers in Human Behavior, vol. 24, no. 6, Sept. 2008, pp. 2830-2847. https://doi.org/10.1016/j.chb.2008.04.008
  38. F. Davis, "A Technology Acceptance Model for Empirically Testing New End-user Information Systems: Theory and Results," Ph.D. dissertation, Sloan School Manag. Massachusetts Institute Technol., Cambridge, MA, USA, 1986.