Engaging in Activities Involving Information Technology: Dimensions,Modes,and Flow

Abstract

An engagement mode involves a subject (e.g., a user of information technology, or IT) who is engaged in an activity with an object in a certain manner (the mode). The purpose of this study is to develop a general model of engagement modes that may be used for understanding how IT-related activities are shaped by properties of the user and the IT object. A questionnaire involving items on IT engagement and the experience of flow was administered to 300 participants. The results supported an engagement mode (EM) model involving 5 different engagement modes (enjoying/acceptance, ambition/curiosity, avoidance/hesitation, frustration/anxiety, and efficiency/productivity) characterized on 3 dimensions (evaluation of object, locus of control between subject and object, and intrinsic or extrinsic focus of motivation). The flow experience follows from a balance between enjoying/acceptance and efficiency/productivity propelled by ambition/curiosity. The EM model could provide a platform for considering how IT users, IT applications, and IT environments should work together to yield both enjoyment and efficiency. Actual or potential applications of this research include designing IT training programs on different levels of specificity.

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References

Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84, 191–215.

Bandura, A. (1997). Self-efficacy: The exercise of control. New York: W. H. Freeman.

Borg, I. (1985). Multidimensional data representations: When and why. Ann Arbor, MI: Matheisi.

Cole, M. , & Engeström, Y. (1993). A cultural-historical approach to distributed cognition. In G. Salomon (Ed.), Distributed cognition: Psychological and educational perspectives (pp. 1–46). Cambridge, UK: Cambridge University Press.

Craik, F. I. M. , & Lockhart, R. S. (1972). Levels of processing: A framework for memory research. Journal of Verbal Learning and Verbal Behavior, 11, 671–684.

Csikszentmihalyi, M. (1975). Beyond boredom and anxiety: The experience of play in work and games. San Francisco: Jossey-Bass.

Csikszentmihalyi, M. (1990). Flow: The psychology of optimal experience. New York: HarperCollins.

Csikszentmihalyi, M. , & Figurski, T. J. (1982). Self-awareness and aversive experience in everyday life. Journal of Personality, 50, 15–28.

Csikszentmihalyi, M. , & Rathunde, K. (1993). The measurement of flow in everyday life: Toward a theory of emergent motivation. In J. E. Jacobs (Ed.), Developmental perspective on motivation: Nebraska Symposium on Motivation (Vol. 40, pp. 57–97). Lincoln: University of Nebraska Press.

10.

Eagly, A. H. , & Chaiken, S. (1998). Attitude structure and function. In D. T. Gilbert , S. T. Fiske , & G. Lindzey (Eds.), Handbook of social psychology (Vol. 1, pp. 269–322). New York: Oxford University Press.

11.

Ericsson, K. A. (2004). Superior decision making as an integral quality of expert performance: Insights into the mediating mechanisms and their acquisition through deliberate practice. In B. Brehmer , R. Lipshitz , & H. Montgomery (Eds.), How professionals make decisions (pp. 135–167). Mahwah, NJ: Erlbaum.

12.

Ericsson, K. A , Krampe, R. T. , & Tesch-Römer, C. (1993). The role of deliberate practice in the acquisition of expert performance. Psychological Review, 100, 363–406.

13.

Ghani, J. A. , & Deshpande, P. D. (1994). The characteristics and the experience of optimal flow in human-computer interaction. Journal of Psychology, 128, 381–391.

14.

Heidegger, M. (1962). Being and time. New York: Harper and Row. (Original work published 1927)

15.

Hoffman, D. L. , & Novak, T. P. (1996). Marketing in hypermedia computer-mediated environments: Conceptual foundations. Journal of Marketing, 60, 50–68.

16.

Kruglanski, A. W. (1975). The endogenous-exogenous partition in attribution theory. Psychological Review, 83, 387–406.

17.

Nardi, B. A. (1996). Context and consciousness: Activity theory and human-computer interaction. Cambridge, MA: MIT Press.

18.

Norman, D. A. (1998). The invisible computer. Cambridge, MA: MIT Press.

19.

Osgood, C. G. (1969). On the whys and wherefores of E, P, and A. Journal of Personality and Social Psychology, 12, 194–199.

20.

Osgood, C. G. , Suci, G. J. , & Tannenbaum, P. H. (1971). The measurement of meaning. Urbana: University of Illinois Press.

21.

Pittman, T. S. (1998). Motivation. In D. T. Gilbert , S. T. Fiske , & G. Lindzey (Eds.), Handbook of social psychology (Vol. 1, pp. 549–591). New York: Oxford University Press.

22.

Pittman, T. S. , Boggiano, A. K. , & Ruble, D. N. (1983). Intrinsic and extrinsic motivational orientations: Limiting conditions on the undermining and enhancing effects of reward on intrinsic motivation. In J. Levine , & M. Wang (Eds.), Teacher and student perceptions: Implications for learning (pp. 549–569). Hillsdale, NJ: Erlbaum.

23.

Rotter, J. B. (1966). Generalized expectancies for internal versus external control of reinforcement. Psychological Monographs, 80(1, Whole No. 609).

24.

Russell, J. A. (1980). A circumplex model of affect. Journal of Personality and Social Psychology, 39, 1161–1178.

25.

Salomon, G. (1993). No distribution without individuals' cognition: A dynamic interactional view. In G. Salomon (Ed.), Distributed cognition: Psychological and educational perspectives (pp. 111–138). Cambridge, UK: Cambridge University Press.

26.

Suchman, L. A. (1987). Plans and situated actions: The problem of human-machine interaction. Cambridge, UK: Cambridge University Press.

27.

Trevino, L. K. , & Webster, J. (1992). Flow in computer-mediated communication. Communication Research, 19, 539–573.

28.

Webster, J. , Trevino, L. K. , & Ryan, L. (1993). The dimensionality and correlates of flow in human computer interactions. Computers in Human Behavior, 9, 411–426.

29.

Zajonc, R. B. (1980). Feeling and thinking: Preferences need no inferences. American Psychologist, 35, 151–175.

30.

Zajonc, R. B. (1998). Emotions. In D. T. Gilbert , S. T. Fiske , & G. Lindzey (Eds.), Handbook of social psychology (Vol. 1, pp. 549–591). New York: Oxford University Press.