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The role of pre-existing highlights in reader–text interactions and outcomes Dodson, Samuel; Freund, Luanne; Kopak, Rick
Abstract
Many digital information environments enable sharing of readers’ highlights and other annotations, despite the lack of clear evidence of the effects on interaction behaviours and outcomes. We report on an experimental user study (n=15) of the impact of pre-existing highlights of varying quality on the digital reading process and outcomes of participants with different cognitive styles. We found that highlight quality affects surface level comprehension, but not deeper understanding. Participants were able to assess highlight quality and expressed different approaches to highlighting that influenced their interpretation of pre-existing highlights. Results regarding the impact of cognitive style were inconclusive.
Item Metadata
Title |
The role of pre-existing highlights in reader–text interactions and outcomes
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Creator | |
Date Issued |
2018
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Description |
Many digital information environments enable sharing of readers’ highlights and other annotations, despite the lack of clear evidence of the effects on interaction behaviours and outcomes. We report on an experimental user study (n=15) of the impact of pre-existing highlights of varying quality on the digital reading process and outcomes of participants with different cognitive styles. We found that highlight quality affects surface level comprehension, but not deeper understanding. Participants were able to assess highlight quality and expressed different approaches to highlighting that influenced their interpretation of pre-existing highlights. Results regarding the impact of cognitive style were inconclusive.
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Subject | |
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Type | |
Language |
eng
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Date Available |
2019-02-13
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Provider |
Vancouver : University of British Columbia Library
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Rights |
Attribution-NonCommercial-NoDerivatives 4.0 International
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DOI |
10.14288/1.0376433
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URI | |
Affiliation | |
Citation |
Dodson, S., Freund, L., & Kopak, R. (2018) The role of pre-existing highlights in reader-text interactions and outcomes. In Proceedings of the 2018 ACM/IEEE Joint Conference on Digital Libraries (pp. 17–20). New York, NY: ACM.
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Publisher DOI |
10.1145/3197026.3197066
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Peer Review Status |
Reviewed
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Scholarly Level |
Faculty
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Aggregated Source Repository |
DSpace
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Item Media
Item Citations and Data
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International