Inspectability and control in social recommenders

RecSys'12 - Proceedings of the 6th ACM Conference on Recommender Systems

Volumn , Issue , 2012, Pages 43-50

  Knijnenburg, Bart P ^a   Bostandjiev, Svetlin ^b   O'Donovan, John ^a   Kobsa, Alfred ^b  

^a Ringgold Standard Institution Informatics   (United States)

^b University of California   (United States)

Author keywords

Control; Explanations; Human computer interaction; Inspectability; Novelty; Satisfaction; Social recommender systems; Understandability; Usability; User experience; User interfaces; Visualization

Indexed keywords

EXPLANATIONS; INSPECTABILITY; NOVELTY; SATISFACTION; UNDERSTANDABILITY; USABILITY; USER EXPERIENCE;

CONTROL; FLOW VISUALIZATION; HUMAN COMPUTER INTERACTION; RECOMMENDER SYSTEMS; USER INTERFACES;

QUALITY CONTROL;

EID: 84867372908     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2365952.2365966     Document Type: Conference Paper

References (52)

1. Adali, S., Escriva, R., Goldberg, M.K., Hayvanovych, M., Magdon-Ismail, M., Szymanski, B.K., Wallace, W.A. and Williams, G. Measuring behavioral trust in social networks. 2010 IEEE Intl. Conference on Intelligence and Security Informatics (Vancouver, Canada, 2010), 150-152.
2. Bentler, P.M. and Bonett, D.G. Significance Tests and Goodness of Fit in the Analysis of Covariance Structures. Psychological Bulletin. 88, 3 (1980), 588-606.
3. Bollen, D., Knijnenburg, B.P., Willemsen, M.C. and Graus, M. Understanding choice overload in recommender systems. Proceedings of the fourth ACM conference on Recommender systems (Barcelona, Spain, 2010), 63-70.
4. Bostandjiev, S., O'Donovan, J. and Höllerer, T. Taste- Weights: A Visual Interactive Hybrid Recommender System. Proceedings of the sixth ACM conference on Recommender Systems (Dublin, Ireland, 2012).
5. Bourke, S., McCarthy, K. and Smyth, B. Power to the people: exploring neighbourhood formations in social recommender system. Proceedings of the fifth ACM conference on Recommender systems (New York, NY, 2011), 337-340.
6. Chen, L. and Pu, P. Critiquing-based recommenders: survey and emerging trends. User Modeling and User-Adapted Interaction. 22, 1-2 (Oct. 2011), 125-150.
7. Chen, L. and Pu, P. Survey of Preference Elicitation Methods. Technical Report #IC/2004/67 (2004).
8. Cooke, A.D.J., Sujan, H., Sujan, M. and Weitz, B.A. Marketing the Unfamiliar: The Role of Context and Item-Specific Information in Electronic Agent Recommendations. Journal of Marketing Research. 39, 4 (Nov. 2002), 488-497.
9. Cramer, H., Evers, V., Ramlal, S., Someren, M., Rutledge, L., Stash, N., Aroyo, L. and Wielinga, B. The effects of transparency on trust in and acceptance of a content-based art recommender. User Modeling and User-Adapted Interaction. 18, 5 (Aug. 2008), 455-496.
10. Czarkowski, M. and Kay, J. Bringing Scrutability to Adaptive Hypertext Teaching. Intelligent Tutoring Systems. Springer (2000). 423-432.
11. rd intl. conference on social computing (Boston, MA, Oct. 2011), 418-424.
12. Felfernig, A. Knowledge-Based Recommender Technologies for Marketing and Sales. Intl. J. of Pattern Recognition and Artificial Intelligence. 21, 2 (2007), 333-354. (Pubitemid 46572797)
13. Fitzsimons, G.J. and Lehmann, D.R. Reactance to Recommendations: When Unsolicited Advice Yields Contrary Responses. Marketing Science. 23, 1 (Jan. 2004), 82-94.
14. Gena, C., Brogi, R., Cena, F. and Vernero, F. The Impact of Rating Scales on User's Rating Behavior. User Modeling, Adaption and Personalization. J.A. Konstan, R. Conejo, J.L. Marzo, and N. Oliver, eds. Springer (2011). 123-134.
15. Golbeck, J. Generating Predictive Movie Recommendations from Trust in Social Networks. Trust Management. K. Stølen, W.H. Winsborough, F. Martinelli, and F. Massacci, eds. Springer (2006). 93-104. (Pubitemid 44045019)
16. Golbeck, J., Robles, C. and Turner, K. Predicting personality with social media. Proceedings of the 2011 annual conference extended abstracts on Human factors in computing systems (Vancouver, Canada, 2011), 253-262.
17. Gretarsson, B., O'Donovan, J., Bostandjiev, S., Hall, C. and Höllerer, T. SmallWorlds: Visualizing Social Recommendations. Computer Graphics Forum. 29, 3 (2010), 833-842.
18. Groh, G., Birnkammerer, S. and Köllhofer, V. Social Recommender Systems. Recommender Systems for the Social Web. Springer (2012). 3-42.
19. Guy, I., Ronen, I. and Wilcox, E. Do you know?: recommending people to invite into your social network. Proceedings of the 14th international conference on Intelligent user interfaces (New York, NY, 2009), 77-86.
20. Haubl, G. and Trifts, V. Consumer Decision Making in Online Shopping Environments: The Effects of Interactive Decision Aids. Marketing Science. 19, 1 (Jan. 2000), 4-21.
21. Herlocker, J.L., Konstan, J.A. and Riedl, J. Explaining collaborative filtering recommendations. Proc. of the 2000 ACM conference on Computer supported cooperative work (Philadelphia, PA, 2000), 241-250. (Pubitemid 32400055)
22. Höök, K., Karlgren, J., Wærn, A., Dahlbäck, N., Jansson, C., Karlgren, K. and Lemaire, B. A glass box approach to adaptive hypermedia. User Modeling and User-Adapted Interaction. 6, 2-3 (Jul. 1996), 157-184. (Pubitemid 126716210)
23. Hu, L. and Bentler, P.M. Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal. 6, 1 (Jan. 1999), 1-55.
24. Kamis, A. and Davern, M.J. Personalizing to product category knowledge: exploring the mediating effect of shopping tools on decision confidence. 37th an. Hawaii intl. conf. on System Sciences (Big Island, HI, 2004), 10 pp.
25. Kay, J. Stereotypes, Student Models and Scrutability. Intelligent Tutoring Systems. G. Gauthier, C. Frasson, and K. VanLehn, eds. Springer (2000). 19-30.
26. Kay, J. and Lum, A. Ontology-based user modelling for the Semantic Web. Workshop on Personalisation on the Semantic Web (Edinburgh, UK, 2005), 15-23.
27. Knijnenburg, B.P. and Kobsa, A. Making Decisions about Privacy: Information Disclosure in Context-Aware Recommender Systems. submitted to the ACM Transactions on Intelligent Interactive Systems, Special Issue on Human Decision Making and Recommender Systems (2012). http://www.isr.uci.edu/tech- reports/UCI-ISR-12-1.pdf.
28. Knijnenburg, B.P., Rao, N. and Kobsa, A. Experimental Materials Used in the Study on Inspectability and Control in Social Recommender Systems. Technical Report #UCI-ISR-12- 4 (2012).
29. Knijnenburg, B.P., Reijmer, N.J.M. and Willemsen, M.C. Each to his own: how different users call for different interaction methods in recommender systems. Proceedings of the fifth ACM conference on Recommender systems (Chicago, IL, 2011), 141-148.
30. Knijnenburg, B.P., Willemsen, M.C., Gantner, Z., Soncu, H. and Newell, C. Explaining the user experience of recommender systems. User Modeling and User-Adapted Interaction. 22, 4-5 (2012), 441-504.
31. Kramer, T. The Effect of Measurement Task Transparency on Preference Construction and Evaluations of Personalized Recommendations. Journal of Marketing Research. 44, 2 (May. 2007), 224-233.
32. McCarthy, K., Salem, Y. and Smyth, B. Experience-Based Critiquing: Reusing Critiquing Experiences to Improve Conversational Recommendation. Case-Based Reasoning. Research and Development. I. Bichindaritz and S. Montani, eds. Springer (2010). 480-494.
33. McGinty, L. and Reilly, J. On the Evolution of Critiquing Recommenders. Recommender Systems Handbook. F. Ricci, L. Rokach, B. Shapira, and P.B. Kantor, eds. Springer (2011). 419-453.
34. McNee, S.M., Albert, I., Cosley, D., Gopalkrishnan, P., Lam, S.K., Rashid, A.M., Konstan, J.A. and Riedl, J. On the recommending of citations for research papers. Proceedings of the 2002 ACM conference on Computer supported cooperative work (New Orleans, LA, 2002), 116-125.
35. McNee, S.M., Lam, S.K., Konstan, J.A. and Riedl, J. Interfaces for Eliciting New User Preferences in Recommender Systems. User Modeling 2003. P. Brusilovsky, A. Corbett, and F. Rosis, eds. Springer Heidelberg. 178-187. (Pubitemid 36768563)
36. Nenkov, G.Y., Morrin, M., Ward, A., Schwartz, B. and Hulland, J. A short form of the Maximization Scale: Factor structure, reliability and validity studies. Journal of Judgment and Decision Making. 3, (June 2008), 371-388.
37. O'Donovan, J., Gretarsson, B., Bostandjiev, S., Hollerer, T. and Smyth, B. A Visual Interface for Social Information Filtering. Intl. Conf. on Computational Science and Engineering (Vancouver, Canada, 2009), 74-81.
38. O'Donovan, J. and Smyth, B. Trust in recommender systems. Proceedings of the 10th international conference on Intelligent user interfaces (San Diego, CA, 2005), 167-174.
39. O'Donovan, J., Smyth, B., Gretarsson, B., Bostandjiev, S. and Höllerer, T. PeerChooser: visual interactive recommendation. Proc. of the 26th SIGCHI conf. on Human factors in computing systems (Florence, Italy, 2008), 1085-1088.
40. Pereira, R.E. Optimizing human-computer interaction for the electronic commerce environment. Journal of Electronic Commerce Research. 1, 1 (2000), 23-44.
41. Pommeranz, A., Broekens, J., Wiggers, P., Brinkman, W.-P. and Jonker, C.M. Designing interfaces for explicit preference elicitation: a user-centered investigation of preference representation and elicitation process. User Modeling and User- Adapted Interaction. 22, 4-5 (Mar. 2012), 357-397.
42. Pu, P., Chen, L. and Kumar, P. Evaluating product search and recommender systems for E-commerce environments. Electronic Commerce Research. 8, 1-2 (2008), 1-27.
43. Schwartz, B., Ward, A., Monterosso, J., Lyubomirsky, S., White, K. and Lehman, D.R. Maximizing versus satisficing: Happiness is a matter of choice. Journal of Personality and Social Psychology. 83, 5 (2002), 1178-1197.
44. Sinha, R.R. and Swearingen, K. Comparing Recommendations Made by Online Systems and Friends. DELOS Workshop on Personalisation and Recommender Systems in Digital Libraries (2001), 64-67.
45. Spiekermann, S. and Paraschiv, C. Motivating human-agent interaction: Transferring insights from behavioral marketing to interface design. Electronic Commerce Research. 2, 3 (2002), 255-285.
46. Tintarev, N. and Masthoff, J. A Survey of Explanations in Recommender Systems. Data Engineering Workshop (Istanbul, Turkey, Apr. 2007), 801-810.
47. Tintarev, N. and Masthoff, J. Designing and Evaluating Explanations for Recommender Systems. Recommender Systems Handbook. F. Ricci, L. Rokach, B. Shapira, and P.B. Kantor, eds. Springer (2011). 479-510.
48. Tintarev, N. and Masthoff, J. Evaluating the effectiveness of explanations for recommender systems. User Modeling and User-Adapted Interaction. 22, 4-5 (Feb. 2012), 399-439.
49. Vries, P. Trust in systems: effects of direct and indirect information. Thesis Technische Universiteit Eindhoven (2004).
50. Wang, W. and Benbasat, I. Recommendation agents for electronic commerce: Effects of explanation facilities on trusting beliefs. Journal of Management Information Systems. 23, 4 (2007), 217-246.
51. Willemsen, M.C., Graus, M.P., Knijnenburg, B.P. and Bollen, D. Not just more of the same: Preventing choice overload in recommender systems by offering small diversified sets. Submitted for journal publication. (2012).
52. Zhao, S., Zhou, M.X., Yuan, Q., Zhang, X., Zheng, W. and Fu, R. Who is talking about what: social map-based recommendation for content-centric social websites. Proceedings of the fourth ACM conference on Recommender system (Barcelona, Spain, 2010), 143-150.