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How do users perceive information: analyzing user feedback while annotating textual units

Arora, Piyush orcid logoORCID: 0000-0003-0055-345X and Jones, Gareth J.F. orcid logoORCID: 0000-0003-2923-8365 (2017) How do users perceive information: analyzing user feedback while annotating textual units. In: CHIIR 2017 Workshop on Supporting Complex Search Tasks, 11 Mar 2017, Oslo, Norway.

Abstract
We describe an initial study of how participants perceive information when they categorize highlighted textual units within a document marked for a given information need. Our investigation explores how users look at different parts of the document and classify textual units within retrieved documents on 4-levels of relevance and importance. We compare how users classify different textual units within a document, and report mean and variance for different users across different topics. Further, we analyze and categorise the reasons provided by users while rating textual units within retrieved documents. This research shows some interesting observations regarding why some parts of the document are regarded as more relevant than others (e.g. it provides contextual information, contains background information) and which kind of information seems to be effective for satisfying the end users (e.g showing examples, providing facts) in a search task. This work is a part of our ongoing investigation into generation of effective surrogates and document summaries based on search topics and user interactions with information.
Metadata
Item Type:Conference or Workshop Item (Poster)
Event Type:Workshop
Refereed:Yes
Subjects:Computer Science > Computational linguistics
Computer Science > Information retrieval
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Research Initiatives and Centres > ADAPT
Published in: Koolen, Marijn, Kamps, Jaap, Bogers, Toine, Belkin, Nick, Kelly, Diane and Yilmaz, Emine, (eds.) Proceedings of the Second Workshop on Supporting Complex Search Tasks. 1798. CEUR-WS.
Publisher:CEUR-WS
Official URL:http://ceur-ws.org/Vol-1798/paper1.pdf
Copyright Information:© 2017 The Authors
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Science Foundation Ireland (SFI) as a part of the ADAPT Centre at Dublin City University (Grant No: 12/CE/I2267).
ID Code:22803
Deposited On:03 Dec 2018 11:49 by Piyush Arora . Last Modified 01 Feb 2019 12:28
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