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With a little help from my friends: examining the impact of social annotations in sensemaking tasks

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Ed H. ChiAuthors Info & Claims

CHI '09: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Pages 1795 - 1798

https://doi.org/10.1145/1518701.1518977

Published: 04 April 2009 Publication History

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Abstract

In prior work we reported on the design of a social annotation system, SparTag.us, for use in sensemaking activities such as work-group reading and report writing. Previous studies of note-taking systems have demonstrated behavioral differences in social annotation practices, but are not clear in the actual performance gains provided by social features. This paper presents a laboratory study aimed at evaluating the learning effect of social features in SparTag.us. We found significant learning gains, and consider implications for design and for understanding the underlying mechanisms in play when people use social annotation systems.

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References

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[2]

Hong, L., Chi, E.H., Budiu, R., Pirolli, P., and Nelson, L., SparTag.us: A low cost tagging system for foraging of web content, Proc. AVI'08, ACM, pp. 65--72, 2008.

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Fang J(2023)Supporting Online Learning and Teaching with Social AnnotationsCompanion Proceedings of the 2023 ACM International Conference on Supporting Group Work10.1145/3565967.3571751(42-44)Online publication date: 8-Jan-2023
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Index Terms

With a little help from my friends: examining the impact of social annotations in sensemaking tasks
1. Human-centered computing
  1. Human computer interaction (HCI)

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Published In

CHI '09: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

April 2009

2426 pages

ISBN:9781605582467

DOI:10.1145/1518701

General Chairs:
Dan R. Olsen
Brigham Young University
,
Richard B. Arthur
Brigham Young University
,
Program Chairs:
Ken Hinckley
Microsoft Research
,
Meredith Ringel Morris
Microsoft Research
,
Scott Hudson
Carnegie Mellon University
,
Saul Greenberg
University of Calgary

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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Association for Computing Machinery

New York, NY, United States

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Published: 04 April 2009

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CHI '09

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CHI '09: CHI Conference on Human Factors in Computing Systems

April 4 - 9, 2009

MA, Boston, USA

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CHI '09 Paper Acceptance Rate 277 of 1,130 submissions, 25%;

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

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Cited By

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https://dl.acm.org/doi/10.1145/3627508.3638348
Fang J(2023)Supporting Online Learning and Teaching with Social AnnotationsCompanion Proceedings of the 2023 ACM International Conference on Supporting Group Work10.1145/3565967.3571751(42-44)Online publication date: 8-Jan-2023
https://dl.acm.org/doi/10.1145/3565967.3571751
Urgo KArguello J(2023)Goal-setting in support of learning during searchInformation Processing and Management: an International Journal10.1016/j.ipm.2022.10315860:2Online publication date: 1-Mar-2023
https://dl.acm.org/doi/10.1016/j.ipm.2022.103158
Urgo KArguello J(2022)Understanding the “Pathway” Towards a Searcher’s Learning ObjectiveACM Transactions on Information Systems10.1145/349522240:4(1-43)Online publication date: 11-Jan-2022
https://dl.acm.org/doi/10.1145/3495222
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Sun CHwang GYin ZWang ZWang Z(2022)Trends and issues of social annotation in education: A systematic review from 2000 to 2020Journal of Computer Assisted Learning10.1111/jcal.1276439:2(329-350)Online publication date: 13-Dec-2022
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