Abstract
Real world recommendation systems, personalized mobile search, and online city guides could all benefit from data on personal place preferences. However, collecting explicit rating data of locations as users travel from place to place is impractical. This paper investigates the relationship between explicit place ratings and implicit aspects of travel behavior such as visit frequency and travel time. We conducted a four-week study with 16 participants using a novel sensor-based experience sampling tool, called My Experience (Me), which we developed for mobile phones. Over the course of the study Me was used to collect 3,458 in-situ questionnaires on 1,981 place visits. Our results show that, first, sensor-triggered experience sampling is a useful methodology for collecting targeted information in situ. Second, despite the complexities underlying travel routines and visit behavior, there exist positive correlations between place preference and automatically detectable features like visit frequency and travel time. And, third, we found that when combined, visit frequency and travel time result in stronger correlations with place rating than when measured individually. Finally, we found no significant difference in place ratings due to the presence of others.
This work was approved by the University of Washington Human Subjects Division, application id: HSD# 05-6963-E/C 01.
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References
Ali, K., van Stam, W.: TiVo: Making Show Recommendations Using a Distributed Collaborative Filtering Architecture. In: Proc. of KDD 2004, Seattle, WA, August 22-25 (2004)
Barrett, L.F., Barrett, D.J.: An Introduction to Computerized Experience Sampling in Psychology. Social Science Computer Review 19(2), S01, 175–185 (2001)
Brown, B., Chalmers, M., Bell, M., I., et al.: Sharing the square: collaborative leisure in the city streets. In: Proceedings of ECSCW 2005, Paris, France, pp. 427–429 (2005)
Carter, S., Mankoff, J.: When Participants do the Capturing: The Role of Media in Diary Studies. In: Proc. of CHI 2005, Portland, OR, April 2-7 (2005)
Chen, A.: Context-Aware Collaborative Filtering System: Predicting the User’s Preferences in the Ubiquitous Computing Environment. In: Proc. of CHI 2005 (2005)
Claypool, M., Phong, L., Waseda, M., Brown, D.: Implicit Interest Indicators. In: Proceedings of Intelligent User Interfaces 2001, Santa Fe, NM, January 14-17, 2001, pp. 33–40 (2001)
Consolvo, S., Walker, M.: Using the Experience Sampling Method to Evaluate Ubicomp Applications. IEEE Pervasive: The Human Experience, 24–31 (2003)
Consolvo, S., Smith, I., Matthews, T., et al.: Location Disclosure to Social Rela-tions: Why, When & What People Want to Share. In: Proc. of CHI 2005, Portland, OR (2005)
Fellman, J.D., Getis, A., Getis, J.: Human Geography. WCB/McGraw-Hill, Boston (1999)
Golledge, R.G., Stimson, R.J.: Spatial Behavior. Guilford Press, New York (1997)
Hightower, J., Consolvo, S., LaMarca, A., Smith, I., Hughes, J.: Learning and Recognizing the Places We Go. In: Beigl, M., Intille, S.S., Rekimoto, J., Tokuda, H. (eds.) UbiComp 2005. LNCS, vol. 3660, pp. 159–176. Springer, Heidelberg (2005)
Intille, S.S., Rondoni, J., Kukla, C., Anacona, I., Bao, L.: A context-aware experience sampling tool. In: Proc. of CHI 2003, pp. 972–973. ACM Press, New York (2003)
Konstan, J., Miller, B., Maltz, D., Herlocker, J., et al.: GroupLens: Applying Collaborative Filtering to Usenet News. Communications of the ACM 40(3), 77–87 (1997)
LaMarca, A., Chawathe, Y., Consolvo, S., et al.: Place lab: Device positioning using radio beacons in the wild. In: Gellersen, H.-W., Want, R., Schmidt, A. (eds.) PERVASIVE 2005. LNCS, vol. 3468, pp. 116–133. Springer, Heidelberg (2005)
Paulos, E., Goodman, E.: The Familiar Stranger: Anxiety, Comfort, and Play in Public Places. In: Proc. of CHI 2004, Vienna, Austria, April 24-29 (2004)
Smith, I., Chen, M., Varshavsky, A., Sohn, T., Tang, K.: Algorithms for Detecting Motion of a GSM Mobile Phone. In: ECSCW 2005, Workshop Paper (2005)
Schönfelder, S.: Between routines and variety seeking: The characteristics of locational choice in daily travel. In: 10th Intl. Conf. on Travel Behaviour, Lucerne (August 2003)
Shoval, N., Isaacson, M.: Tracking Tourists in the Digital Age. In: The Annals of Tourism Research (2006)
Terry, M., Mynatt, E.D., et al.: Social Net: Using Patterns of Physical Proximity Over Time to Infer Shared Interests. In: Proc. CHI 2002, Short Paper, pp. 816–817 (2002)
Wheeler, L., Reis, H.: Self-recording of Everyday Life Events: Origins, Types, and Uses. Journal of Personality 59, 339–354 (1991)
Zhang, D., Adipat, B.: Challenges, methodologies, and issues in the usability testing of mobile applications. International Journal of HCI 18(3), 293–308 (2005)
Zhou, C., Ludford, P., Frankowski, D., Terveen, L.: An Experiment in Discovering Personally Meaningful Places from Location Data. In: Proc. CHI 2005 (2005)
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Froehlich, J., Chen, M.Y., Smith, I.E., Potter, F. (2006). Voting with Your Feet: An Investigative Study of the Relationship Between Place Visit Behavior and Preference. In: Dourish, P., Friday, A. (eds) UbiComp 2006: Ubiquitous Computing. UbiComp 2006. Lecture Notes in Computer Science, vol 4206. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11853565_20
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DOI: https://doi.org/10.1007/11853565_20
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