Article

Free access

Exploring search results with Envision

Authors:

Lucy Terry Nowell,

Robert K. France,

Deborah HixAuthors Info & Claims

CHI EA '97: CHI '97 Extended Abstracts on Human Factors in Computing Systems

Pages 14 - 15

https://doi.org/10.1145/1120212.1120223

Published: 22 March 1997 Publication History

PDF eReader

Abstract

Envision is a multimedia digital library of computer science literature, with full-text searching and full-content retrieval capabilities. The Envision system is noteworthy for two characteristics: 1) the high quality of the search results returned by our free text search system and 2) a highly usable user interface that provides powerful information visualization facilities, enabling users explore patterns in the literature, changing the display as their interests change.

References

[1]

Ahlberg, C. & Shneiderman, B. Visual information seeking: tight coupling of dynamic query filters with starfield displays, Proc. of CHI 94 (Boston, MA, April 1994) ACM Press, 313--317 & 479--480.

Digital Library

Google Scholar

[2]

Borgman, Christine L. (1996) Why are online catalogs still so hard to use? JASIS, 47, 7, 493--503.

Digital Library

Google Scholar

[3]

Fox, E. A. et al. Development of a modern OPAC: from REVTOLC to MARIAN. In Proc. of SIGIR 93 (Pittsburgh, PA, June 1993) ACM Press, 248--259.

Digital Library

Google Scholar

[4]

Fox, E. A. et al. Users, user interfaces, and objects: Envision, a digital library, JASIS, 44, 5 (Sept. 1993), 480--491.

Digital Library

Google Scholar

[5]

Hearst, M. A. TileBars: Visualization of term distribution information in full text information access. In Proc. of CHI '95 (Denver, CO, May, 1995) ACM Press, 59--66.

Digital Library

Google Scholar

[6]

Heath, L. S. et al. Envision: A user-centered database of computer science literature. Commun. ACM, 38, 4 (April 1995) 52--53.

Digital Library

Google Scholar

[7]

Nowell, L. T. et al. Visualizing search results: some alternatives to query-document similarity. In Proc. of SIGIR 96 (Zurich, Switzerland, August 1996), ACM Press, 67--75.

Digital Library

Google Scholar

[8]

Olsen, K. A. et al. (1993) Visualization of a document collection: The VIBE system. Info. Proc. & Mgmt., 29, 1, 69--81.

Digital Library

Google Scholar

[9]

Spoerri, Anselm. InfoCrystal: A visual tool for information retrieval. In Proc. of Visualization 93 (San Jose, CA, October 1993) 150--157.

Digital Library

Google Scholar

Cited By

View all

Feng MDeng CPeck EHarrison LMandryk RHancock MPerry MCox A(2018)The Effects of Adding Search Functionality to Interactive Visualizations on the WebProceedings of the 2018 CHI Conference on Human Factors in Computing Systems10.1145/3173574.3173711(1-13)Online publication date: 21-Apr-2018
https://dl.acm.org/doi/10.1145/3173574.3173711
Sasson ERavid GPliskin N(2016)Measuring Temporal and Contextual Proximity: Big Text-Data Analytics in Concept Maps2016 3rd Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE)10.1109/APWC-on-CSE.2016.033(144-152)Online publication date: Dec-2016
https://doi.org/10.1109/APWC-on-CSE.2016.033
Wilson M(2011)Search User Interface DesignSynthesis Lectures on Information Concepts, Retrieval, and Services10.2200/S00371ED1V01Y201111ICR0203:3(1-143)Online publication date: 15-Nov-2011
https://doi.org/10.2200/S00371ED1V01Y201111ICR020
Show More Cited By

Exploring search results with Envision

Recommendations

ActiveGraph: A digital library visualization tool

ActiveGraph is an information visualization tool designed to provide users with a concise, customizable view of objects in a digital library. A set of digital library objects is represented as a data set in a two- or three-dimensional scatter plot. The ...
Metadata visualization of scholarly search results: supporting exploration and discovery
i-KNOW '12: Proceedings of the 12th International Conference on Knowledge Management and Knowledge Technologies

Studies of online search behaviour have found that searchers often face difficulties formulating queries and exploring the search results sets. These shortcomings may be especially problematic in digital libraries since library searchers employ a wide ...
Clustering-Based Visual Interfaces for Presentation of Web Search Results: An Empirical Investigation

The result of a typical web search is often overwhelming. It is very difficult to explore the textual listing of the resulting documents, which may be in the thousands. In order to improve the utility of the search experience, we explore presenting ...

Comments

Information & Contributors

Information

Published In

CHI EA '97: CHI '97 Extended Abstracts on Human Factors in Computing Systems

March 1997

406 pages

ISBN:0897919262

DOI:10.1145/1120212

Conference Chairs:
Alan Edwards
Unisys
,
Steven Pemberton
CWI

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]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 March 1997

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Article

Acceptance Rates

Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

9
Total Citations
View Citations
217
Total Downloads

Downloads (Last 12 months)16
Downloads (Last 6 weeks)4

Reflects downloads up to 14 Oct 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Feng MDeng CPeck EHarrison LMandryk RHancock MPerry MCox A(2018)The Effects of Adding Search Functionality to Interactive Visualizations on the WebProceedings of the 2018 CHI Conference on Human Factors in Computing Systems10.1145/3173574.3173711(1-13)Online publication date: 21-Apr-2018
https://dl.acm.org/doi/10.1145/3173574.3173711
Sasson ERavid GPliskin N(2016)Measuring Temporal and Contextual Proximity: Big Text-Data Analytics in Concept Maps2016 3rd Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE)10.1109/APWC-on-CSE.2016.033(144-152)Online publication date: Dec-2016
https://doi.org/10.1109/APWC-on-CSE.2016.033
Wilson M(2011)Search User Interface DesignSynthesis Lectures on Information Concepts, Retrieval, and Services10.2200/S00371ED1V01Y201111ICR0203:3(1-143)Online publication date: 15-Nov-2011
https://doi.org/10.2200/S00371ED1V01Y201111ICR020
Di Giacomo EDidimo WGrilli LLiotta GPalladino P(2008)WhatsOnWeb+ : An Enhanced Visual Search Clustering Engine2008 IEEE Pacific Visualization Symposium10.1109/PACIFICVIS.2008.4475473(167-174)Online publication date: Mar-2008
https://doi.org/10.1109/PACIFICVIS.2008.4475473
Kang HPlaisant CLee BBederson B(2007)NetLens: Iterative Exploration of Content-Actor Network DataInformation Visualization10.1057/palgrave.ivs.95001436:1(18-31)Online publication date: 25-Jan-2007
https://doi.org/10.1057/palgrave.ivs.9500143
Kang HPlaisant CLee BBederson B(2006)NetLens: Iterative Exploration of Content-Actor Network Data2006 IEEE Symposium On Visual Analytics And Technology10.1109/VAST.2006.261426(91-98)Online publication date: Dec-2006
https://doi.org/10.1109/VAST.2006.261426
Lee BCzerwinski MRobertson GBederson Bvan der Veer GGale C(2005)Understanding research trends in conferences using paperLensCHI '05 Extended Abstracts on Human Factors in Computing Systems10.1145/1056808.1057069(1969-1972)Online publication date: 2-Apr-2005
https://dl.acm.org/doi/10.1145/1056808.1057069
Wang JAgrawal ABazaza AAngle SFox ENorth CHersh WMarchionini G(2002)Enhancing the ENVISION interface for digital librariesProceedings of the 2nd ACM/IEEE-CS joint conference on Digital libraries10.1145/544220.544279(275-276)Online publication date: 14-Jul-2002
https://dl.acm.org/doi/10.1145/544220.544279
Christel MMartin D(1998)Information Visualization Within a Digital Video LibraryJournal of Intelligent Information Systems10.1023/A:100863802478611:3(235-257)Online publication date: 1-Nov-1998
https://dl.acm.org/doi/10.1023/A%3A1008638024786

View Options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Cited By

Recommendations

ActiveGraph: A digital library visualization tool

Metadata visualization of scholarly search results: supporting exploration and discovery

Clustering-Based Visual Interfaces for Presentation of Web Search Results: An Empirical Investigation