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Users’ needs, desires, and design preferences for recommendations in the living room

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Abstract

By using a combination of playful probing, creative cultural probing and technology probing, user needs and desires for recommendations in the living room were investigated. 40 households with a total of 126 participants took part in the ethnographic study. The participants used the probing material, received recommendations from an interactive TV (iTV) recommender system, and logged their TV watching behaviour. The findings show that recommendations should preferably be given within the same media (the iTV system), that users prefer to influence the proposal that they receive rather than getting automated recommendations and that the design should ideally support recommendations for the whole household and additionally for individuals. The study revealed that in order to understand which factors account for a successful recommendation system from the user’s perspective, especially trust and security have to be further investigated.

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References

  1. Adomavicius G., Tuzhilin A.: Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions. IEEE Trans. Knowl. Data Eng. 17(6), 734–749 (2005). doi:10.1109/TKDE.2005.99

    Article  Google Scholar 

  2. Ali, K., Van Stam, W.: TiVo: making show recommendations using a distributed collaborative filtering architecture. In: Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 364–401. ACM Press, Seattle (2004)

  3. Atkinson, P. (eds) et al.: Handbook of Ethnography. Sage, London (2001)

    Google Scholar 

  4. Bernhaupt, R., Wilfinger, D., Mirlacher, T.: Personalizing’ the TV experience: Vocomedia—a case study from interactive TV. In: Germanakos, P., Mourlas, C. (eds.) Mass Customization for Personalized Communication Environments: Integrating Human Factors. IGI Global, Hershey (in press)

  5. Bernhaupt R., Obrist M., Weiss A., Beck E., Tscheligi M.: Trends in the living room and beyond: results from ethnographic studies using creative and playful probing. Comput. Entertain. 6(1), 1–23 (2008)

    Article  Google Scholar 

  6. Bernhaupt R., Weiss A., Obrist M., Tscheligi M.: Playful Probing: Making Probing more Fun, INTERACT 2007, 10–14 Sep 2007. Lecture Notes in Computer Sciences, vol. 4662, pp. 606–619. Springer, Heidelberg (2007)

    Google Scholar 

  7. Blythe, M., Monk, A.: Notes towards an ethnography of domestic technology. In: Proceedings of DIS 2002, pp. 277–281. ACM Press, New York (2002)

  8. Burke R.: Hybrid recommender systems: survey and experiments. J. User Model. User-Adapted Interact. 12, 331–370 (2002). doi:10.1023/A:1021240730564

    Article  MATH  Google Scholar 

  9. Emerson R.M., Fretz R.I., Shaw L.: Writing Ethnographic Fieldnotes. University of Chicago Press, Chicago (1995)

    Google Scholar 

  10. Fetterman D.M.: Ethnography: Step by Step, 2nd edn. Sage, Thousand Oaks (1998)

    Google Scholar 

  11. Gaver B., Dunne T., Pacenti E.: Design: cultural probes. Interaction 6(1), 21–29 (1999). doi:10.1145/291224.291235

    Article  Google Scholar 

  12. Haddon L.: The contribution of domestication research to in-home computing and media consumption. Inf. Soc. J. 22, 195–203 (2006). doi:10.1080/01972240600791325

    Article  Google Scholar 

  13. Herlocker J., Konstand J., Terveen L., Riedls J.: Evaluating collaborative filtering recommender systems. ACM Trans. Inf. Syst. 22(1), 5–53 (2004). doi:10.1145/963770.963772

    Article  Google Scholar 

  14. Hutchinson, H., Mackay, W., Westerlund, B., Bederson, B.B., Druin, A., Plaisant, C., Beaudouin-Lafon, M., Conversy, S., Evans, H., Hansen, H., Roussel, N., Eiderbäck, B., Lindquist, S., Sundblad, Y.: Technology probes: inspiring design for and with families. In: Proceedings of CHI’03, pp. 17–24. ACM Press, NewYork (2003)

  15. Jääskö, V., Mattelmäki, T.: Observing and probing. In: Proceedings of the International Conference on Designing Pleasurable Products and Interfaces DPPI’03, pp. 126—131. ACM Press, New York (2003)

  16. Kamal A., Wijnand v.S.: TiVo: Making show Recommendations using a Distributed Collaborative Filtering Architecture, pp. 394–401. ACM Press, New York (2004)

    Google Scholar 

  17. Lekakos, G., Papakyriakopoulos, D., Chorianopoulos, K.: An integrated approach to interactive and personalized TV advertising. In: Adjunct Proceedings of the User Modelling Conference 2001, Workshop on Personalization in Future TV (2001)

  18. Masthoff J.: Group modeling: selecting a sequence of television items to suit a group of viewers. J. User Model. User-Adapted Interact. 14, 37–85 (2004). doi:10.1023/B:USER.0000010138.79319.fd

    Article  Google Scholar 

  19. McNee, S., Albert, I., Cosley, D., Gopalkrishnan, P., Rashid, A.M., Konstan, J.A., Riedl, J.: On the recommending of citations for research papers. In: Proceedings of ACMCSCW 2002. ACM, New York (2002)

  20. Mediaresearch, O.R.F.: Mediennutzung in österreich. http://mediaresearch.orf.at/index2.htm?fernsehen/fernsehen_nutzungsverhalten.htm (2008). Accessed 21 Oct 2008

  21. Obrist, M., Bernhaupt, R., Tscheligi, M.: Interactive television for the home: an ethnographic study on users requirements and experiences. In: Proceedings of EuroiTV 2006, Athens, Greece, May 25–26, pp. 349–358 (2006)

  22. O’Donnovan, J., Smyth, B.: Trust in recommender systems. In: Proceedings of IUI, 9–12 Jan 2005, pp. 167–174. ACM Press, New York (2005)

  23. Resnick P., Varian H.R.: Recommender systems. Commun. ACM 40(3), 56–58 (1997). doi:10.1145/245108.245121

    Article  Google Scholar 

  24. Ruwido, http://www.ruwido.com/products/voco-media/1/(2008). Accessed 11 Jan 2008

  25. Satistik Austria: Haushalte, Familien, Lebensformen: Ergebnisse im Überblick. http://www.statistik.at/web_de/static/ergebnisse_im_ueberblick_023086.pdf (2008). Accessed 21 Oct 2008

  26. Sinha R., Swearingen K.: The Role of Transparency in Recommender Systems. CHI ’02, pp. 830–831. ACM, New York (2002)

    Google Scholar 

  27. Strauss A., Corbin J.: Basics of Qualitative Research: Grounded Theory Procedures and Techniques. Sage, Newbury Park (1990)

    Google Scholar 

  28. Swearingen, K., Sinha, R.: Interaction design for recom- mender systems. In: Proceedings of DIS2002. ACM Press, London (2002)

  29. Swearingen, K., Sinha, R.: Beyond algorithms: an hci perspective on recommender systems. In: ACM SIGIR 2001 Workshop on Recommender Systems (2001)

  30. Zanker, M.: Call for a special issue on Measuring the Impact of Personalization and Recommendation on User Behaviour. http://www.configworks.com/IJHCS/index.html (2008). Accessed 19 Oct 2008

  31. Zaslow, J.: If TiVo thinks you are gay, here’s how to set it straight—Amazon.com knows you, too, based on what you buy; why all the cartoons? The Wall Street Journal, November 26, sect. A, p. 1 (2002)

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Correspondence to Regina Bernhaupt.

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Bernhaupt, R., Weiss, A., Wilfinger, D. et al. Users’ needs, desires, and design preferences for recommendations in the living room. Multimedia Systems 15, 159–171 (2009). https://doi.org/10.1007/s00530-009-0161-5

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