research-article

A multimedia interface for facilitating comparisons of opinions

Authors:

Giuseppe Carenini,

Lucas RizoliAuthors Info & Claims

IUI '09: Proceedings of the 14th international conference on Intelligent user interfaces

Pages 325 - 334

https://doi.org/10.1145/1502650.1502696

Published: 08 February 2009 Publication History

Abstract

Written opinion on products and other entities can be important to consumers and researchers, but expensive and difficult to analyze. We present a multimedia interface designed to facilitate the analysis of opinions on multiple entities, which could be beneficial to many individuals and organizations. It integrates an information visualization and an intelligent system that selects notable comparisons in the data and summarizes them in text. This system applies a set of statistics for comparing opinions across entities. We conducted a study of our interface with 36 subjects. Subjects liked the visualization overall and our system's selections overlapped with those of subjects more than did the selections of baseline systems. Given the choice, subjects often changed their selections to be more consistent with those of our system. This suggests that system selections were valuable to them.

References

[1]

R. Amar, J. Eagan, and J. Stasko. Low-level components of analytic activity in information visualization. In INFOVIS '05: Proceedings of the 2005 IEEE Symposium on Information Visualization, page 15. IEEE Computer Society, 2005.

Digital Library

[2]

R. Amar and J. Stasko. A knowledge task-based framework for design and evaluation of information visualizations. In INFOVIS '04: Proceedings of the 2004 IEEE Symposium on Information Visualization, pages 143--150. IEEE Computer Society, 2004.

Digital Library

[3]

J. Bautista and G. Carenini. An integrated task-based framework for the design and evaluation of visualizations to support preferential choice. In AVI '06: Proceedings of the 2006 Working Conference on Advanced Visual Interfaces, pages 217--224. ACM, 2006.

Digital Library

[4]

D. Brodbeck and L. Girardin. Visualization of large-scale customer satisfaction surveys using a parallel-coordinate tree. In INFOVIS '03: Proceedings of the 2003 IEEE Symposium on Information Visualization, pages 197--201. IEEE Computer Society, 2003.

Digital Library

[5]

G. Carenini and J. C. K. Cheung. Extractive vs. NLG-based abstractive summarization of evaluative text: The effect of corpus controversiality. In INLG '08: Proceedings of the 57th International Natural Language Generation Conference. ACL, 2008.

Digital Library

[6]

G. Carenini, R. Ng, and A. Pauls. Multi-document summarization of evaluative text. In EACL '06: Proceedings of the 11th Conference of the European Chapter of the ACL, 2006.

[7]

G. Carenini, R. T. Ng, and A. Pauls. Interactive multimedia summaries of evaluative text. In IUI '06: Proceedings of the 11th International Conference on Intelligent User Interfaces, pages 124--131. ACM, 2006.

Digital Library

[8]

G. Carenini, R. T. Ng, and E. Zwart. Extracting knowledge from evaluative text. In K-CAP '05: Proceedings of the 3rd International Conference on Knowledge Capture, pages 11--18. ACM, 2005.

Digital Library

[9]

J. Chevalier and D. Mayzlin. The effect of word of mouth on sales: Online book reviews. Working Paper, 2003.

[10]

C. Dellarocas, N. Awad, and X. Zhang. Exploring the value of online reviews to organizations: Implications for revenue forecasting and planning. In Proceedings of the 24th International Conference on Information Systems, 2004.

[11]

A. Fujii and T. Ishikawa. A system for summarizing and visualizing arguments in subjective documents: Toward supporting decision making. In COLING-ACL '06: Proceedings of the Workshop on Sentiment and Subjectivity in Text, pages 15--22. ACL, 2006.

Digital Library

[12]

A. Ghose. The Economic Impact of User-Generated and Firm-Published Online Content: Directions for Advancing the Frontiers in Electronic Commerce Research. Wiley & Sons, 2007. Online chapter.

[13]

D. Godes and D. Mayzlin. Using online conversations to study word-of-mouth communication. Marketing Science, 23(4):545--560, 2004.

Digital Library

[14]

C. Hallett. Multi-modal presentation of medical histories. In IUI '08: Proceedings of the 13th international conference on Intelligent User Interfaces, pages 80--89, New York, NY, USA, 2008. ACM.

Digital Library

[15]

M. Hu and B. Liu. Feature based summary of customer reviews dataset. http://www.cs.uic.edu/Üliub/FBS/sentiment-analysis.html, 2004.

[16]

M. Hu and B. Liu. Mining and summarizing customer reviews. In KDD '04: Proceedings of the 2004 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pages 168--177. ACM, 2004.

Digital Library

Cited By

Jasim MCollins CSarvghad AMahyar N(2022)Supporting Serendipitous Discovery and Balanced Analysis of Online Product Reviews with Interaction-Driven Metrics and Bias-Mitigating SuggestionsProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3517649(1-24)Online publication date: 29-Apr-2022
https://dl.acm.org/doi/10.1145/3491102.3517649
Jasim MHoque ESarvghad AMahyar N(2021)CommunityPulse: Facilitating Community Input Analysis by Surfacing Hidden Insights, Reflections, and PrioritiesProceedings of the 2021 ACM Designing Interactive Systems Conference10.1145/3461778.3462132(846-863)Online publication date: 28-Jun-2021
https://dl.acm.org/doi/10.1145/3461778.3462132
Chen LYan DWang F(2019)User Evaluations on Sentiment-based Recommendation ExplanationsACM Transactions on Interactive Intelligent Systems10.1145/32828789:4(1-38)Online publication date: 9-Aug-2019
https://dl.acm.org/doi/10.1145/3282878
Show More Cited By

Index Terms

A multimedia interface for facilitating comparisons of opinions
1. Information systems
  1. Information systems applications
    1. Multimedia information systems

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Published In

cover image ACM Conferences

IUI '09: Proceedings of the 14th international conference on Intelligent user interfaces

February 2009

522 pages

ISBN:9781605581682

DOI:10.1145/1502650

General Chairs:
Cristina Conati
University of British Columbia, Canada
,
Mathias Bauer
mineway GmbH, Germany
,
Program Chairs:
Nuria Oliver
Telefonica Research, Spain
,
Dan Weld
University of Washington, USA

Copyright © 2009 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 08 February 2009

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IUI09

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IUI09: 14th International Conference on Intelligent User Interfaces

February 8 - 11, 2009

Florida, Sanibel Island, USA

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Overall Acceptance Rate 746 of 2,811 submissions, 27%

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IUI '25

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30th International Conference on Intelligent User Interfaces

March 24 - 27, 2025

Cagliari , Italy

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Citations

Cited By

Jasim MCollins CSarvghad AMahyar N(2022)Supporting Serendipitous Discovery and Balanced Analysis of Online Product Reviews with Interaction-Driven Metrics and Bias-Mitigating SuggestionsProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3517649(1-24)Online publication date: 29-Apr-2022
https://dl.acm.org/doi/10.1145/3491102.3517649
Jasim MHoque ESarvghad AMahyar N(2021)CommunityPulse: Facilitating Community Input Analysis by Surfacing Hidden Insights, Reflections, and PrioritiesProceedings of the 2021 ACM Designing Interactive Systems Conference10.1145/3461778.3462132(846-863)Online publication date: 28-Jun-2021
https://dl.acm.org/doi/10.1145/3461778.3462132
Chen LYan DWang F(2019)User Evaluations on Sentiment-based Recommendation ExplanationsACM Transactions on Interactive Intelligent Systems10.1145/32828789:4(1-38)Online publication date: 9-Aug-2019
https://dl.acm.org/doi/10.1145/3282878
Liu SWang XCollins CDou WOuyang FEl-Assady MJiang LKeim D(2019)Bridging Text Visualization and Mining: A Task-Driven SurveyIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2018.283434125:7(2482-2504)Online publication date: 1-Jul-2019
https://doi.org/10.1109/TVCG.2018.2834341
Tran TDuangsuwan JWettayaprasit W(2018)A Novel Automatic Sentiment Summarization from Aspect-based Customer Reviews2018 15th International Joint Conference on Computer Science and Software Engineering (JCSSE)10.1109/JCSSE.2018.8457346(1-6)Online publication date: Jul-2018
https://doi.org/10.1109/JCSSE.2018.8457346
Chen LWang FPapadopoulos GKuflik TChen FDuarte CFu W(2017)Explaining Recommendations Based on Feature Sentiments in Product ReviewsProceedings of the 22nd International Conference on Intelligent User Interfaces10.1145/3025171.3025173(17-28)Online publication date: 7-Mar-2017
https://dl.acm.org/doi/10.1145/3025171.3025173
Yan DChen L(2017)Review-Based Screening Interface for Improving Users’ Decision Process in E-commerceHCI in Business, Government and Organizations. Supporting Business10.1007/978-3-319-58484-3_11(130-142)Online publication date: 13-May-2017
https://doi.org/10.1007/978-3-319-58484-3_11
Masui FPtaszynski MKawaishi RMaeda YGoto FMasui H(2015)A System for Recommendation of Accommodation Facilities Adaptable to User InterestTourism Informatics10.1007/978-3-662-47227-9_8(107-118)Online publication date: 15-Jul-2015
https://doi.org/10.1007/978-3-662-47227-9_8
Yan DChen L(2015)An Empirical Study of User Decision Making Behavior in E-CommerceHCI in Business10.1007/978-3-319-20895-4_38(414-426)Online publication date: 21-Jul-2015
https://doi.org/10.1007/978-3-319-20895-4_38
Wang JZhao JGuo SNorth CRamakrishnan NKry PBunt A(2014)ReCloudProceedings of Graphics Interface 201410.5555/2619648.2619674(151-158)Online publication date: 7-May-2014
https://dl.acm.org/doi/10.5555/2619648.2619674
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