New Findings on the User’s Preferences about Data Visualization of Online Reviews
Commenced in January 2007
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New Findings on the User’s Preferences about Data Visualization of Online Reviews

Authors: Elizabeth Simão Carvalho, Marcirio Silveira Chaves

Abstract:

The information visualization is still a knowledge field that lacks from a solid theory to support it and there is a myriad of existing methodologies and taxonomies that can be combined and adopted as guidelines. In this context, it is necessary to pre-evaluate as much as possible all the assumptions that are considered for its design and development. We present an exploratory study (n = 123) to detect the graphical preferences of travelers using accommodation portals of Web 2.0 (e.g. tripadvisor.com). We took into account some of the most relevant ground rules applied in the field to map visually data and design end-user interaction. Moreover, the evaluation process was completely data visualization oriented. We found out that people tend to refuse more advanced types of visualization and that a hybrid combination between radial graphs and stacked bars should be explored. In sum, this paper introduces new findings about the visual model and the cognitive response of users of accommodation booking websites.

Keywords: Information visualization, Data visualization, Visualization evaluation, Online reviews, Booking portal, Hotel booking.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1088892

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[1] Gamon M., Basu S., Belenko D., Fisher D., Hurst M., and König A. C.. BLEWS: Using blogs to provide context for news articles. In AAAI Conference on Weblogs and Social Media 2008, pages 60–67.
[2] Draper G. and RiesenfeldR.. Who votes for what? A visual query language for opinion data. IEEE Transactions on Visualization and Computer Graphics, 2008, 14(6):1197–1204.
[3] Wu Y., Wei F., Liu S., Au N., Cui W., Zhou H., and Qu H. OpinionSeer: Interactive Visualization of Hotel Customer Feedback. IEEE Transactions on Visualization and Computer Graphics, . Nov-Dec 2010, 6, 1109-1118.
[4] Gretzel U., Yoo K. H. and Purifoy M.. Online Travel Review Study, Role & Impact of Online Travel Reviews. Laboratory for Intelligent Systems in Tourism Texas A&M University, 2007.
[5] Soukup T. and Davidson I. Visual Data Mining: Techniques and tools for data visualization and mining. Ed. Wiley, ISBN-10 0471149993, May 2002.
[6] Carvalho E. and Chaves M.. Exploring User-Generated Data Visualization in the Accommodation Sector. 16th International Conference Information Visualisation. Montpellier, France, 10-13 July, 2012, pages 198-203.
[7] Gamon M., Aue A., Corston-Oliver S., and Ringger E. Pulse: Mining Customer Opinions from Free Text. In: Proceedings of the International Symposium on Intelligent Data Analysis IDA, 2005, Nr. 3646, p. 121--132.
[8] Lam H., Bertini E., Isenberg, P., Plaisant, C. and Carpendale, S. Seven Guiding Scenarios for Information Visualization Evaluation. TR 2011-992-04, Department of Computer Science, University of Calgary, 2011.
[9] Ware C.. Information Visualization (3th Edition): Perception for Design (Interactive Technologies). 2012. ISBN: 9780123814654
[10] Tweedie L. Characterizing Interactive Externalizations”, Proc. Conf. Human Factors in Computing Systems, 1997, pp. 375-382.
[11] Chi E.H. A Taxonomy of Visualization Techniques using the Data State Reference Model. Proc. IEEE Symposium on Information Visualization, 2000, pp. 69-75.
[12] Spencer R. Information Visualization: Design for Interaction (2nd Edition). Prentice Hall. 2007. ISBN-13: 978-0132065504.
[13] Card S. K., Mackinlay, J. D., and Shneiderman, B. Readings in Information Visualization: Using Vision to Think. Morgan Kaufmann Publishers, San Francisco, 1999.
[14] Chaves M., Freitas L. A. and Vieira R. Hontology: a multilingual ontology for the accommodation sector in the tourism industry. Proceedings of the 4th International Conference on Knowledge Engineering and Ontology Development, Barcelona, Spain, 4-7 October, 2012.
[15] Huang L. and Pashler H. A boolean map theory of visual attention. Psychological Review 2007, 114, 3, 599–63.
[16] Huang L., Triesman A. and Pashler H. Characterizing the limits of human visual awareness. Science 2008, 317, 823–825.
[17] Hirst G. The Future of Text-Meaning in Computational Linguistics. Lecture Notes in Computer Science, Volume 5246/2008, 3-11, 2008.
[18] Hullman J., Adar E., and Shah P. Benefiting Infovis with Visual Difficulties. Proceedings of InfoVis'11, Providence, RI, October 23-28, 2011.
[19] Lee M. D., Reilly R. E., Butavicius M. E. An empirical evaluation of Chernoff faces, star glyphs, and spatial visualizations for binary data. ACM International Conference Proceeding Series; Vol. 142, Proceedings of the Asia-Pacific symposium on Information visualisation - Volume 24, 2003.