Abstract
Goals have long been recognised as important in user modelling and personalisation. Surprisingly, little research has dealt with user model representations for people’s long term goals. This paper describes our theoretically-grounded design of user models for long term goals; notably, the theory points to the critical role of the user interface to this Goal Model, to enable people to set, monitor and refine their models over the long term. We report on a multi-study evaluation of the tightly coupled user model representation and Goal Interface, based on a preliminary lab study (16 participants), and a field trial (14 participants), starting with the lab study and then the in-the-wild use and the questionnaires. This provides multiple sources of evidence to validate the usefulness of our Goal Model to represent three long term health-related goals. It shows that the Goal Interface is usable and aids people in setting their long term goals.
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References
Ali, R., Dalpiaz, F., Giorgini, P.: A goal-based framework for contextual requirements modeling and analysis. Requirements Engineering 15(4), 439–458 (2010)
Azevedo, R.: Using hypermedia as a metacognitive tool for enhancing student learning? The role of self-regulated learning. Educational Psychologist 40(4), 199–209 (2005)
Bandura, A.: Social cognitive theory of self-regulation. Organizational Behavior and Human Decision Processes 50(2), 248–287 (1991)
Brusilovsky, P., Millán, E.: User models for adaptive hypermedia and adaptive educational systems. In: Brusilovsky, P., Kobsa, A., Nejdl, W. (eds.) Adaptive Web 2007. LNCS, vol. 4321, pp. 3–53. Springer, Heidelberg (2007)
Carberry, S.: Techniques for plan recognition. UMUAI 11, 31–48 (2001)
Colineau, N., Paris, C.: Motivating reflection about health within the family: the use of goal setting and tailored feedback. UMUAI, 1–36 (2011)
Conati, C., Vanlehn, K.: Toward computer-based support of meta-cognitive skills: A computational framework to coach self-explanation. IJAIED 11, 389–415 (2000)
Consolvo, S., Klasnja, P., McDonald, D.W., Landay, J.A.: Goal-setting considerations for persuasive technologies that encourage physical activity. In: Persuasive, pp. 1–8. ACM (2009)
Deci, E., Ryan, R.M.: Self-determination theory. In: Handbook of Theories of Social Psychology, p. 416 (2008)
Dunstan, D., Kingwell, B., Larsen, R., Healy, G., Cerin, E., Hamilton, M., Shaw, J., Bertovic, D., Zimmet, P., Salmon, J., et al.: Breaking up prolonged sitting reduces postprandial glucose and insulin responses. Diabetes Care 35(5), 976–983 (2012)
Froehlich, J., Dillahunt, T., Klasnja, P., Mankoff, J., Consolvo, S., Harrison, B., Landay, J.A.: Ubigreen: investigating a mobile tool for tracking and supporting green transportation habits. In: CHI 2009, pp. 1043–1052. ACM (2009)
Gasser, R., Brodbeck, D., Degen, M., Luthiger, J., Wyss, R., Reichlin, S.: Persuasiveness of a mobile lifestyle coaching application using social facilitation. In: IJsselsteijn, W.A., de Kort, Y.A.W., Midden, C., Eggen, B., van den Hoven, E. (eds.) PERSUASIVE 2006. LNCS, vol. 3962, pp. 27–38. Springer, Heidelberg (2006)
Haskell, W., Lee, I., Pate, R., Powell, K., Blair, S., Franklin, B., Macera, C., Heath, G., Thompson, P., Bauman, A.: Physical activity and public health: updated recommendation for adults from the American College of Sports Medicine and the American Heart Association. Medicine and Science in Sports and Exercise 39(8), 1423–1434 (2007)
Horvitz, E., Breese, J., Heckerman, D., Hovel, D., Rommelse, D.: The Lumiere project: Bayesian user modeling for inferring the goals and needs of software users. In: Uncertainty in Artificial Intelligence, pp. 256–265 (1998)
Klasnja, P., Consolvo, S., Pratt, W.: How to evaluate technologies for health behavior change in HCI research. In: CHI 2011, pp. 3063–3072. ACM (2011)
Kobsa, A., Pohl, W.: The user modeling shell system BGP-MS. UMUAI 4, 59–106 (1994)
Lesh, N., Rich, C., Sidner, C.L.: Using plan recognition in human-computer collaboration. In: User Modelling, pp. 23–32. Springer (1999)
Lin, J.J., Mamykina, L., Lindtner, S., Delajoux, G., Strub, H.B.: Fish‘n’steps: Encouraging physical activity with an interactive computer game. In: Dourish, P., Friday, A. (eds.) UbiComp 2006. LNCS, vol. 4206, pp. 261–278. Springer, Heidelberg (2006)
Locke, E.A., Latham, G.P.: Building a practically useful theory of goal setting and task motivation: A 35-year odyssey. American Psych. 57(9), 705–717 (2002)
Maitland, J., Chalmers, M.: Self-monitoring, self-awareness, and self-determination in cardiac rehabilitation. In: CHI 2010, pp. 1213–1222. ACM (2010)
Munson, S.A., Consolvo, S.: Exploring goal-setting, rewards, self-monitoring, and sharing to motivate physical activity. In: Pervasive Health, pp. 25–32 (2012)
Vassileva, J.: A task-centered approach for user modeling in a hypermedia office documentation system. UMUAI 6, 185–223 (1996)
Vogin, G.D.: http://www.webmd.com/fitness-exercise/features/lazy-persons-exercise-plan (last visited: April, 2014)
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Barua, D., Kay, J., Kummerfeld, B., Paris, C. (2014). Modelling Long Term Goals. In: Dimitrova, V., Kuflik, T., Chin, D., Ricci, F., Dolog, P., Houben, GJ. (eds) User Modeling, Adaptation, and Personalization. UMAP 2014. Lecture Notes in Computer Science, vol 8538. Springer, Cham. https://doi.org/10.1007/978-3-319-08786-3_1
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DOI: https://doi.org/10.1007/978-3-319-08786-3_1
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