Trust Building in Recommender Agents

Li Chen, Pearl Pu

Abstract

Trust has long been regarded as an important factor influencing users’ decision to buy a product in an online shop or to return to the shop for more product information. However, most notions of trust focus on the aspects of benevolence and integrity, and less on competence. Although benefits clearly exist for websites to employ competent recommender agents, the exact nature of these benefits to users’ trusting intentions remains unclear. This paper presents some preliminary results of these issues based on a trust model that we have developed for recommender agents. We describe a carefully constructed survey in an attempt to reveal the relationship between users’ perception of the agent’s trustworthiness based on its competence and consumer trusting intentions, and more importantly, the role of explanation-based recommendation interfaces and their media format on trust promotion.

References

  1. Carenini, G. and Moore, J. Multimedia Explanations in IDEA Decision Support System. Working Notes of the AAAI Spring Symposium on Interactive and Mixed-Initiative Decision Theoretic Systems (1998)
  2. Carenini, G. and Moore, J. An Empirical Study of the Influence of Argument Conciseness on Argument Effectiveness. Proceedings of the 38th Annual Meeting of the Association for Computational Linguistics (ACL-00) (2000)
  3. Chopra, K. and Wallace, W. A. Trust in Electronic Environments. In Proceedings of the 36th Hawaii International Conference on System Sciences (HICSS'03) (2003)
  4. Gefen, D. E-Commerce: The Role of Familiarity and Trust. Omega: The International Journal of Management Science, 28, 725-737 (2000)
  5. Gefen, D., Rao, V.S. and Tractinsky, N. The Conceptualization of Trust, Risk, and Their Relationship in Electronic Commerce: The Need for Clarifications, Working paper (2003)
  6. Gefen, D. and Straub, D.W. Building Consumer Trust in Electronic Commerce, Working paper (1999)
  7. Herlocker, J. L., Konstan, J. A. and Riedl, J. Explaining Collaborative Filtering Recommendations. In ACM Conference on Computer Supported Cooperative Work (2000)
  8. Jarvenpaa, S. L., Tractinsky, N. and Vitale, M. Consumer trust in An Internet store. Information Technology and Management, 1(1-2), 45-71 (2000)
  9. Klein, D. A. and Shortliffe, E. H. A Framework for Explaining Decision-theoretic Advice. Artificial Intelligence 67: 201-243 (1994)
  10. Komiak, S., Wang, W. and Benbasat, I. Comparing Customer Trust in Virtual Salespersons with Customer Trust in Human Salespersons. Proceedings of 38th Hawaii international conference on system sciences (2005)
  11. Koufaris, M., Hampton-Sosa, W. Customer Trust Online: Examining the Role of the Experience with the Web Site, CIS Working paper series (2002)
  12. McCarthy, K., Reilly, J., McGinty, L. and Smyth, B. Experiments in Dynamic Critiquing, Proceedings of the International Conference on Intelligent User Interfaces (2004) 175-182
  13. McKnight, D.H., and Chervany, N.L. What Trust Means in e-Commerce Customer Relationships: Conceptual Typology. International Journal of Electronic Commerce, 6(2), 35-59 (2002)
  14. McKnight, D. H., Cummings, L. and Chervany, N. L. Trust Formation in New Organizational Relationships. Working paper (1995)
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Paper Citation


in Harvard Style

Chen L. and Pu P. (2005). Trust Building in Recommender Agents . In Proceedings of the 1st International Workshop on Web Personalisation, Recommender Systems and Intelligent User Interfaces - Volume 1: WPRSIUI, (ICETE 2005) ISBN 972-8865-38-4, pages 135-145. DOI: 10.5220/0001422901350145


in Bibtex Style

@conference{wprsiui05,
author={Li Chen and Pearl Pu},
title={Trust Building in Recommender Agents},
booktitle={Proceedings of the 1st International Workshop on Web Personalisation, Recommender Systems and Intelligent User Interfaces - Volume 1: WPRSIUI, (ICETE 2005)},
year={2005},
pages={135-145},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001422901350145},
isbn={972-8865-38-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 1st International Workshop on Web Personalisation, Recommender Systems and Intelligent User Interfaces - Volume 1: WPRSIUI, (ICETE 2005)
TI - Trust Building in Recommender Agents
SN - 972-8865-38-4
AU - Chen L.
AU - Pu P.
PY - 2005
SP - 135
EP - 145
DO - 10.5220/0001422901350145