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Decision-Theoretic Planning Meets User Requirements: Enhancements and Studies of an Intelligent Shopping Guide

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Book cover Pervasive Computing (Pervasive 2005)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3468))

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Abstract

This paper reports on extensions to a decision-theoretic location-aware shopping guide and on the results of user studies that have accompanied its development. On the basis of the results of an earlier user study in a mock-up of a shopping mall, we implemented an improved version of the shopping guide. A new user study with the improved system in a real shopping mall confirms in a much more realistic setting the generally positive user attitudes found in the earlier study. The new study also sheds further light on the usability issues raised by the system, some of which can also arise with other mobile guides and recommenders. One such issue concerns desire of users to be able to understand and second-guess the system’s recommendations. This requirement led to the development of an explanation component for the decision-theoretic guide, which was evaluated in a smaller follow-up study in the shopping mall.

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References

  1. Bohnenberger, T., Jameson, A.: When policies are better than plans: Decision-theoretic planning of recommendation sequences. In: Lester, J. (ed.) IUI 2001: International Conference on Intelligent User Interfaces, pp. 21–24. ACM, New York (2001)

    Chapter  Google Scholar 

  2. Bohnenberger, T., Jameson, A., Krüger, A., Butz, A.: Location-aware shopping assistance: Evaluation of a decision-theoretic approach. In: Proceedings of the Fourth International Symposium on Human-Computer Interaction with Mobile Devices, Pisa (2002), pp. 155–169 (2002)

    Google Scholar 

  3. Asthana, A., Cracatts, M., Krzyzanowski, P.: An indoor wireless system for personalized shopping assistance. In: Proceedings of the First IEEE Workshop on Mobile Computing Systems and Applications (1994)

    Google Scholar 

  4. Fano, A.E.: Shopper’s Eye: Using location-based filtering for a shopping agent in the physical world. In: Proceedings of the Second International Conference on Autonomous Agents, pp. 416–421 (1998)

    Google Scholar 

  5. Shekar, S., Nair, P., Helal, A.: iGrocer: A ubiquitous and pervasive smart grocery shopping system. In: Proceedings of the 2003 ACM Symposium on Applied Computing, pp. 645–652 (2003)

    Google Scholar 

  6. Cumby, C., Fano, A., Ghani, R., Krema, M.: Building intelligent shopping assistants using individual consumer models. In: Riedl, J., Jameson, A., Billsus, D., Lau, T. (eds.) IUI 2005: International Conference on Intelligent User Interfaces, pp. 323–325. ACM, New York (2005)

    Chapter  Google Scholar 

  7. Newcomb, E., Pashley, T., Stasko, J.: Mobile computing in the retail arena. In: Terveen, L., Wixon, D., Comstock, E., Sasse, A. (eds.) Human Factors in Computing Systems: CHI 2003 Conference Proceedings, pp. 337–344. ACM, New York (2003)

    Chapter  Google Scholar 

  8. Kim, J., LaRose, R.: Interactive e-commerce: Promoting consumer efficiency or impulsivity? Journal of Computer-Mediated Communication 10 (2004)

    Google Scholar 

  9. Plutowski, M.: MDP solver for a class of location-based decisioning tasks. In: Proceedings of the First Bayesian Modeling Applications Workshop at the Nineteenth Conference on Uncertainty in Artificial Intelligence, Acapulco, Mexico (2003)

    Google Scholar 

  10. Brafman, R.I., Heckerman, D., Shani, G.: An MDP-based recommender system. Journal of Machine Learning Research 6 (2005)

    Google Scholar 

  11. Shani, G., Brafman, R.I., Heckerman, D.: An MDP-based recommender system. In: Darwiche, A., Friedman, N. (eds.) Uncertainty in Artificial Intelligence: Proceedings of the Eighteenth Conference, pp. 453–460. Morgan Kaufmann, San Francisco (2002)

    Google Scholar 

  12. Bohnenberger, T.: Decision-Theoretic Planning for User-Adaptive Systems: Dealing With Multiple Goals and Resource Limitations, AKA, Berlin (2005), Dissertation version available from http://w5.cs.uni-sb.de/~bohne/

  13. Boutilier, C., Dean, T., Hanks, S.: Decision-theoretic planning: Structural assumptions and computational leverage. Journal of Artificial Intelligence Research 11, 1–94 (1999)

    MATH  MathSciNet  Google Scholar 

  14. Russell, S.J., Norvig, P.: Artificial Intelligence: A Modern Approach, 2nd edn. Prentice-Hall, Englewood Cliffs (2003)

    Google Scholar 

  15. Landauer, T.K.: Behavioral research methods in human-computer interaction. In: Helander, M., Landauer, T.K., Prabhu, P.V. (eds.) Handbook of Human-Computer Interaction, pp. 203–227. North- Holland, Amsterdam (1997)

    Chapter  Google Scholar 

  16. Herlocker, J.L., Konstan, J.A., Riedl, J.: Explaining collaborative filtering recommendations. In: Proceedings of the 2000 Conference on Computer-Supported Cooperative Work, Philadelphia, PA, pp. 241–250 (2000)

    Google Scholar 

  17. Jameson, A.: Adaptive interfaces and agents. In: Jacko, J.A., Sears, A. (eds.) Human- Computer Interaction Handbook, pp. 305–330. Erlbaum, Mahwah (2003)

    Google Scholar 

  18. Kröner, A., Baldes, S., Jameson, A., Bauer, M.: Using an extended episodic memory within a mobile companion. In: Proceedings of the Workshop on Memory and Sharing of Experience at Pervasive 2004, Vienna (2004)

    Google Scholar 

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Bohnenberger, T., Jacobs, O., Jameson, A., Aslan, I. (2005). Decision-Theoretic Planning Meets User Requirements: Enhancements and Studies of an Intelligent Shopping Guide. In: Gellersen, H.W., Want, R., Schmidt, A. (eds) Pervasive Computing. Pervasive 2005. Lecture Notes in Computer Science, vol 3468. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11428572_17

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  • DOI: https://doi.org/10.1007/11428572_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-26008-0

  • Online ISBN: 978-3-540-32034-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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