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Backward Highlighting: Enhancing Faceted Search

Wilson, M. L., Andre, P. and schraefel, m. c. (2008) Backward Highlighting: Enhancing Faceted Search. In: Proceedings of the 21st Symposium on User Interface Software and Technology (UIST2008), October 19-22, 2008, Monterey, CA, USA. pp. 235-238. (In Press)

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Abstract

Directional faceted browsers, like the popular columnar browser iTunes, let a person pick an instance from any col-umn-facet to start their search for music. The expected ef-fect is that any columns to the right are filtered. In keeping with this directional filtering from left to right, however, the unexpected effect is that the columns to the left of the click provide no information about the possible associa-tions to the selected item. In iTunes, this means that any selection in the Album column on the right returns no in-formation about either the Artists (immediate left) or Gen-res (leftmost) associated with the chosen album.
Backward Highlighting is our solution to this problem, which allows users to see and utilize, during search, asso-ciations in columns to the left of a selection in a directional column browser like iTunes. Unlike other possible solu-tions, this technique allows such browsers to keep direction in their filtering, and so provides users with the best of both directional and non-directional styles. Providing the tech-nique is not cheap, however, as it produces significantly more queries over the data. As well as describing the detail of Backward Highlighting, this paper presents the results of a formative user study into the benefits the technique pro-vides to users. System designers can then determine whether the technique should be used given both the sys-tem costs and the significant benefits shown for informa-tion discovery and subsequent retention in memory.

Item Type:Conference or Workshop Item
Creator/Authors:
Max L. Wilson
Paul Andre
m.c. schraefel
Research Group:Old ECS Groups > Intelligence, Agents, Multimedia
Current ECS Groups > Agents, Interaction and Complexity
Date:3 April 2008
Information about this record:
Performance Indicator:EZ~03~03~06
Citations:
Downloads (2010):492
ID Code:15428
Last Modified:23 Sep 2011 10:36
Deposited On:12 Apr 2008 09:16 by Wilson, Max

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References in Article

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1. Capra, R., Marchionini, G., Oh, J.S., Stutzman, F. and Zhang, Y. Effects of structure and interaction style on distinct search tasks. JCDL072007). 442-451.

2. Chimera, R. and Shneiderman, B. An Exploratory Evaluation of Three Interfaces for Browsing Large Hi-erarchical Tables of Contents. ACM TOIS, 12 4 (1994). 383-406.

3. Elliott, A., Flamenco image browser: using metadata to improve image search during architectural design. CHI extended abstracts, (2001). 69-70

4. Hearst, M.A. Next generation web search: setting our sites. IEEE Data Engineering Bulletin: Special Issue on Next Generation Web Search, 23 3 (2000). 38-48.

5. Hearst, M.A. Clustering versus faceted categories for information exploration. Commun. ACM, 49 4 (2006). 59-61.

6. Huynh, D.F., Miller, R. and Karger, D., Exhibit: Light-weight Structured Data Publishing. WWW07, (2007).

7. Kahney, L. Apple Gives Video the IPod Touch Gadg-ets, Mac, 2005.

8. schraefel, m.c., Wilson, M.L., Russell, A. and Smith, D.A. mSpace: improving information access to multi-media domains with multimodal exploratory search. Commun. ACM, 49 4 (2006). 47-49.

9. Smith, D.A., Owens, A., schraefel, m.c., Sinclair, P., André, P., Wilson, M.L., Russell, A., Martinez, K. and Lewis, P., Challenges in Supporting Faceted Semantic Browsing of Multimedia Collections. SAMT07, (2007).

10. White, R.W., Kules, B., Drucker, S.M. and schraefel, m.c. Introduction. Commun. ACM, 49 4 (2006). 36-39.

11. Wilson, M.L. and schraefel, m.c., A longitudinal study of both faceted and keyword search. JCDL08, (2008).

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