Article

Using thumbnails to search the Web

Authors:

Allison Woodruff,

Andrew Faulring,

Ruth Rosenholtz,

Julie Morrsion,

Peter PirolliAuthors Info & Claims

CHI '01: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Pages 198 - 205

https://doi.org/10.1145/365024.365098

Published: 01 March 2001 Publication History

Abstract

We introduce a technique for creating novel, textually-enhanced thumbnails of Web pages. These thumbnails combine the advantages of image thumbnails and text summaries to provide consistent performance on a variety of tasks. We conducted a study in which participants used three different types of summaries (enhanced thumbnails, plain thumbnails, and text summaries) to search Web pages to find several different types of information. Participants took an average of 67, 86, and 95 seconds to find the answer with enhanced thumbnails, plain thumbnails, and text summaries, respectively. We found a strong effect of question category. For some questions, text outperformed plain thumbnails, while for other questions, plain thumbnails outperformed text. Enhanced thumbnails (which combine the features of text summaries and plain thumbnails) were more consistent than either text summaries or plain thumbnails, having for all categories the best performance or performance that was statistically indistinguishable from the best.

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Digital Library

Cited By

Sasaoka TYamakata YTajima K(2024)Search Result Presentation for Non-Native Language DocumentsCompanion Proceedings of the 29th International Conference on Intelligent User Interfaces10.1145/3640544.3645224(89-94)Online publication date: 18-Mar-2024
https://dl.acm.org/doi/10.1145/3640544.3645224
Kim HKim JHan YHong HKwon OPark YElmqvist NKo SKwon B(2024)Towards Visualization Thumbnail Designs That Entice Reading Data-Driven ArticlesIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.327830430:8(4825-4840)Online publication date: Aug-2024
https://doi.org/10.1109/TVCG.2023.3278304
Cogley BSetlur V(2024)Scaling It DownFunctional Aesthetics for Data Visualization10.1002/9781394320714.ch8(117-128)Online publication date: 18-Sep-2024
https://doi.org/10.1002/9781394320714.ch8
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Index Terms

Using thumbnails to search the Web
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction paradigms
      1. Web-based interaction
2. Information systems
  1. Information retrieval
    1. Document representation
    2. Information retrieval query processing
  2. World Wide Web
    1. Web applications
    2. Web services

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Published In

cover image ACM Conferences

CHI '01: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

March 2001

559 pages

ISBN:1581133278

DOI:10.1145/365024

Chairmen:
Julie Jacko
Georgia Institute of Technology
,
Andrew Sears
UMBC

Copyright © 2001 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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Published: 01 March 2001

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CHI '01 Paper Acceptance Rate 69 of 352 submissions, 20%;

Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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Cited By

Sasaoka TYamakata YTajima K(2024)Search Result Presentation for Non-Native Language DocumentsCompanion Proceedings of the 29th International Conference on Intelligent User Interfaces10.1145/3640544.3645224(89-94)Online publication date: 18-Mar-2024
https://dl.acm.org/doi/10.1145/3640544.3645224
Kim HKim JHan YHong HKwon OPark YElmqvist NKo SKwon B(2024)Towards Visualization Thumbnail Designs That Entice Reading Data-Driven ArticlesIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.327830430:8(4825-4840)Online publication date: Aug-2024
https://doi.org/10.1109/TVCG.2023.3278304
Cogley BSetlur V(2024)Scaling It DownFunctional Aesthetics for Data Visualization10.1002/9781394320714.ch8(117-128)Online publication date: 18-Sep-2024
https://doi.org/10.1002/9781394320714.ch8
Jones SKlein MWeigle MNelson M(2023)Summarizing Web Archive Corpora via Social Media Storytelling by Automatically Selecting and Visualizing ExemplarsACM Transactions on the Web10.1145/360603018:1(1-48)Online publication date: 11-Oct-2023
https://dl.acm.org/doi/10.1145/3606030
Rutishauser RMeyer AHolmes RFritz T(2023)Semi-Automatic, Inline and Collaborative Web Page Code Curations2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE)10.1109/ICSE48619.2023.00159(1866-1877)Online publication date: May-2023
https://doi.org/10.1109/ICSE48619.2023.00159
Han HYu JBournet RCiorascu AMackay WBeaudouin-Lafon M(2022)Passages: Interacting with Text Across DocumentsProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3502052(1-17)Online publication date: 29-Apr-2022
https://dl.acm.org/doi/10.1145/3491102.3502052
Peng CGe TWang Y(2022)Optimizing word search within documents by showing results in the contextJournal of Visualization10.1007/s12650-022-00880-526:2(441-455)Online publication date: 26-Sep-2022
https://doi.org/10.1007/s12650-022-00880-5
Cheng SFan JHu Y(2020)Visual saliency model based on crowdsourcing eye tracking data and its application in visual designPersonal and Ubiquitous Computing10.1007/s00779-020-01463-727:3(613-630)Online publication date: 29-Sep-2020
https://doi.org/10.1007/s00779-020-01463-7
Jones SWeigle MNelson MZhu WTao DCheng XCui PRundensteiner ECarmel DHe QXu Yu J(2019)Social Cards Probably Provide For Better Understanding Of Web Archive CollectionsProceedings of the 28th ACM International Conference on Information and Knowledge Management10.1145/3357384.3358039(2023-2032)Online publication date: 3-Nov-2019
https://dl.acm.org/doi/10.1145/3357384.3358039
Kim HOh JHan YKo SBrehmer MKwon B(2019)Thumbnails for Data Stories: A Survey of Current Practices2019 IEEE Visualization Conference (VIS)10.1109/VISUAL.2019.8933773(116-120)Online publication date: Oct-2019
https://doi.org/10.1109/VISUAL.2019.8933773
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