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A Rich OPAC User Interface with AJAX

A Rich OPAC User Interface with AJAX. Jesse Prabawa Gozali and Min-Yen Kan WING (Web IR / NLP Group) National University of Singapore. Introduction and Motivation. Finding the right keywords Toggling between results, details, results, details… Modest search history

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A Rich OPAC User Interface with AJAX

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  1. A Rich OPAC User Interface with AJAX Jesse Prabawa Gozali and Min-Yen Kan WING (Web IR / NLP Group)National University of Singapore

  2. Introduction and Motivation • Finding the right keywords • Toggling between results, details, results, details… • Modest search history • How do I sort by title or year? 3 1 4 2 Web IR / NLP Group @ NUS 2

  3. Related Works Google’s multiple suggestions Endeca’s guided navigation (NCSU Libraries) • Conclusion • Cosmetic difference • Page-oriented • None specifically dealing with: • Interaction history • Seeing overview and details simultaneously PINES' incremental loading (Georgia Library)

  4. Key areas of improvement • Goal • Leverage current dynamic web technologies to provide a usable and rich environment that better supports user information-seeking tasks. • Key Areas • Keyword suggestions • Dual-pane view: Overview + Details • Tabs as a history mechanism • Rich results table: sort, add, remove columns Web IR / NLP Group @ NUS

  5. A Richer Dynamic User Interface • Embedded keyword suggestions • Dynamic views: Overview + Details • Tabs for parallel search strategies • Sort, add, remove columns 3 4 1 2 Web IR / NLP Group @ NUS 5

  6. Prototype Demo http://opac.comp.nus.edu.sg Differs slightly from system mentioned in the paper Web IR / NLP Group @ NUS 6

  7. Evaluation Results • Formative Evaluation (Dec 2006): • 5 users performed 2 tasks each • Overview + Details: easy to use, helpful after a brief demo • Users didn’t sort or edit columns, but when prompted had no problems guessing how to do it. • Users were comfortable and familiar with tabbed nav, even within a tabbed web-browser. • Placement of Suggestion Bar was problematic: users skipped directly to results, missing the Suggestion Bar. Web IR / NLP Group @ NUS

  8. Evaluation Results • Summative Evaluation (Feb 2007): • 30 users performed 4 tasks each • Overview + Details: 61%adoption rate on all four scenarios; 84% adoption rate for research/browsing scenario • Table of results: 89% had no problems sorting results. 82% had not problems editing the columns. • Tabs as a history mechanism: 77% noticed the tabs, out of which 52% only noticed after two tabs were visible • Embedded Suggestion Bar: 60% noticed in the first encounter, 27% at the second time, and 10% at the third time. Only 3% did not notice at all. Web IR / NLP Group @ NUS

  9. Conclusion • Key contributions: • Embedded multiple keyword-suggestions • Overview + Details • Tabs as history and parallel-search mechanism • Rich table controls • Timeline: • Prototype online at http://opac.comp.nus.edu.sg • Deploying with metadata in July 2007 • Longer-term evaluation and rate of user acceptance

  10. End of Presentation Backup Slides follow

  11. User Interface Mockup September, 2006 Web IR / NLP Group @ NUS 11

  12. First working prototype December, 2006 Web IR / NLP Group @ NUS 12

  13. Second working prototype February, 2007 Web IR / NLP Group @ NUS 13

  14. Current Design March, 2007 Web IR / NLP Group @ NUS 14

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