The role of transparency in recommender systems

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The role of transparency in recommender systems

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Conference on Human Factors in Computing Systems archive
CHI '02 extended abstracts on Human factors in computing systems table of contents

Minneapolis, Minnesota, USA

SESSION: Short Talks table of contents

Pages: 830 - 831

Year of Publication: 2002

ISBN:1-58113-454-1

Authors

Rashmi Sinha	UC Berkeley, Berkeley, CA
Kirsten Swearingen	UC Berkeley, Berkeley, CA

Sponsors

SIGCAPH: ACM SIGCAPH Computers and the Physically Handicapped
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
SIGGROUP: ACM Special Interest Group on Supporting Group Work
SIGDOC: ACM Special Interest Group for Design of Communications
SIGLINK: Hypertext, Hypermedia, and Web
SIGCHI: ACM Special Interest Group on Computer-Human Interaction

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 15, Downloads (12 Months): 129, Citation Count: 19

Additional Information:

abstract references cited by index terms collaborative colleagues

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ABSTRACT

Recommender Systems act as a personalized decision guides, aiding users in decisions on matters related to personal taste. Most previous research on Recommender Systems has focused on the statistical accuracy of the algorithms driving the systems, with little emphasis on interface issues and the user's perspective. The goal of this research was to examine the role of transprency (user understanding of why a particular recommendation was made) in Recommender Systems. To explore this issue, we conducted a user study of five music Recommender Systems. Preliminary results indicate that users like and feel more confident about recommendations that they perceive as transparent.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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CITED BY 19

	Saverio Perugini , Marcos André Gonçalves , Edward A. Fox, Recommender Systems Research: A Connection-Centric Survey, Journal of Intelligent Information Systems, v.23 n.2, p.107-143, September 2004
	Jonathan L. Herlocker , Joseph A. Konstan , Loren G. Terveen , John T. Riedl, Evaluating collaborative filtering recommender systems, ACM Transactions on Information Systems (TOIS), v.22 n.1, p.5-53, January 2004
	John O'Donovan , Barry Smyth, Trust in recommender systems, Proceedings of the 10th international conference on Intelligent user interfaces, January 10-13, 2005, San Diego, California, USA
	Markus Stolze , Michael Ströbel, Recommending as personalized teaching: towards credible needs-based ecommerce recommender systems, Designing personalized user experiences in eCommerce, Kluwer Academic Publishers, Norwell, MA, 2004
	Pearl Pu , Li Chen, Trust building with explanation interfaces, Proceedings of the 11th international conference on Intelligent user interfaces, January 29-February 01, 2006, Sydney, Australia
	Loren Terveen , David W. McDonald, Social matching: A framework and research agenda, ACM Transactions on Computer-Human Interaction (TOCHI), v.12 n.3, p.401-434, September 2005
	Henriette S. M. Cramer, Interaction with user-adaptive information filters.: trust, transparency and acceptance., CHI '07 extended abstracts on Human factors in computing systems, April 28-May 03, 2007, San Jose, CA, USA
	Pengyi Zhang , Lynne Plettenberg , Judith L. Klavans , Douglas W. Oard , Dagobert Soergel, Task-based interaction with an integrated multilingual, multimedia information system: a formative evaluation, Proceedings of the 2007 conference on Digital libraries, June 18-23, 2007, Vancouver, BC, Canada
	Ulrike Gretzel , Daniel Fesenmaier, Persuasion in Recommender Systems, International Journal of Electronic Commerce, v.11 n.2, p.81-100, Number 2 / Winter 2006-7
	John O'Donovan , Barry Smyth , Brynjar Gretarsson , Svetlin Bostandjiev , Tobias Höllerer, PeerChooser: visual interactive recommendation, Proceeding of the twenty-sixth annual SIGCHI conference on Human factors in computing systems, April 05-10, 2008, Florence, Italy
	Arto Lehtiniemi , Jarno Seppänen, Evaluation of automatic mobile playlist generator, Proceedings of the 4th international conference on mobile technology, applications, and systems and the 1st international symposium on Computer human interaction in mobile technology, September 10-12, 2007, Singapore
	Henriette S.M. Cramer , Vanessa Evers , Maarten W. van Someren , Bob J. Wielinga, Awareness, training and trust in interaction with adaptive spam filters, Proceedings of the 27th international conference on Human factors in computing systems, April 04-09, 2009, Boston, MA, USA
	Jesse Vig , Shilad Sen , John Riedl, Tagsplanations: explaining recommendations using tags, Proceedings of the 13th international conference on Intelligent user interfaces, February 08-11, 2009, Sanibel Island, Florida, USA
	Henriette Cramer , Vanessa Evers , Satyan Ramlal , Maarten Someren , Lloyd Rutledge , Natalia Stash , Lora Aroyo , Bob Wielinga, The effects of transparency on trust in and acceptance of a content-based art recommender, User Modeling and User-Adapted Interaction, v.18 n.5, p.455-496, November 2008
	Mike Radmacher, Elicitation of profile attributes by transparent communication, Proceedings of the 2007 ACM conference on Recommender systems, October 19-20, 2007, Minneapolis, MN, USA
	Nava Tintarev, Explanations of recommendations, Proceedings of the 2007 ACM conference on Recommender systems, October 19-20, 2007, Minneapolis, MN, USA
	Pearl Pu , Li Chen, Trust-inspiring explanation interfaces for recommender systems, Knowledge-Based Systems, v.20 n.6, p.542-556, August, 2007
	Kristen Stubbs , Pamela J. Hinds , David Wettergreen, Autonomy and Common Ground in Human-Robot Interaction: A Field Study, IEEE Intelligent Systems, v.22 n.2, p.42-50, March 2007
	Li Chen , Pearl Pu, A cross-cultural user evaluation of product recommender interfaces, Proceedings of the 2008 ACM conference on Recommender systems, October 23-25, 2008, Lausanne, Switzerland

INDEX TERMS

Keywords:
WWW, recommender systems, usability studies

Collaborative Colleagues:

Rashmi Sinha: colleagues

Kirsten Swearingen: colleagues

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