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What do people recall about their documents?: implications for desktop search tools

Published: 28 January 2007 Publication History

Abstract

This study aims at finding out which attributes people actually recall about their own documents (electronic and paper), and what are the characteristics of their recall, in order to provide recommendations on how to improve tools allowing users to retrieve their electronic files more effectively and more easily. An experiment was conducted with fourteen participants at their workplace. They were asked first to recall features about one (or several) of their own work documents, and secondly to retrieve these documents. The difficulties encountered by the participants in retrieving their electronic documents support the need for better retrieval tools. More specifically, results of the recall task indicate which attributes are candidates for facilitating file retrieval and how search tools should use these attributes.

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      cover image ACM Conferences
      IUI '07: Proceedings of the 12th international conference on Intelligent user interfaces
      January 2007
      388 pages
      ISBN:1595934812
      DOI:10.1145/1216295
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      Publication History

      Published: 28 January 2007

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      Author Tags

      1. desktop search tools
      2. human memory
      3. personal information retrieval
      4. user studies

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      Cited By

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      • (2025)Enhancing Snippet Visualizations to Improve Web SearchInternational Journal of Human–Computer Interaction10.1080/10447318.2024.2443267(1-20)Online publication date: 15-Jan-2025
      • (2023)Attribute-based document image retrievalInternational Journal on Document Analysis and Recognition (IJDAR)10.1007/s10032-023-00447-627:1(57-71)Online publication date: 17-Jul-2023
      • (2019)Clarifying False Memories in Voice-based SearchProceedings of the 2019 Conference on Human Information Interaction and Retrieval10.1145/3295750.3298961(331-335)Online publication date: 8-Mar-2019
      • (2019)Organization of Work Situations and the Involved Documents in Complicated Documenting via Intuitive Triggers2019 IEEE Conference on Big Data and Analytics (ICBDA)10.1109/ICBDA47563.2019.8987011(1-5)Online publication date: Nov-2019
      • (2019)The ubiquitous digital fileJournal of the Association for Information Science and Technology10.1002/asi.2422271:1(E1-E32)Online publication date: 4-Dec-2019
      • (2017)A Link Back to MemoryLaneProceedings of the 12th Biannual Conference on Italian SIGCHI Chapter10.1145/3125571.3125586(1-10)Online publication date: 18-Sep-2017
      • (2017)A framework for supporting the recall of the scenes in complicated documenting processes using screenshots2017 IEEE International Conference on Cybernetics and Computational Intelligence (CyberneticsCom)10.1109/CYBERNETICSCOM.2017.8311698(135-140)Online publication date: Nov-2017
      • (2017)Evaluation of context-aware recommendation systems for information re-findingJournal of the Association for Information Science and Technology10.1002/asi.2371768:4(895-910)Online publication date: 1-Apr-2017
      • (2016)The Forgotten Needle in My CollectionsProceedings of the 2016 ACM on Conference on Human Information Interaction and Retrieval10.1145/2854946.2854971(13-22)Online publication date: 13-Mar-2016
      • (2016)An Akashic Desktop Recorder for Resumption of Works2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)10.1109/IIAI-AAI.2016.151(25-30)Online publication date: Jul-2016
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