Cited by 25Information Retrieval and Search BehaviorData Visualization and AnalyticsPersonal Information Management and User Behavior

Supporting Metacognition during Exploratory Search with the OrgBox

Open access
Crescenzi, Anita, Ward, Austin R., Li, Yuan, Capra, Rob·2021·Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval

Abstract

Current search systems provide effective support to users engaged in fact-finding and look-up oriented tasks. However, they provide relatively little support for users engaged in exploratory search tasks that involve cognitive and metacognitive activities such as learning, synthesis, planning, and reflection. We conducted a within-subject user study (N=24) that investigated the effects of a novel knowledge organization tool called the OrgBox, designed to assist users with organizing and synthesizing information, and metacognitive activities. The OrgBox included features to allow users to drag-drop information they found through search into "boxes" that could be created, labelled, and re-arranged. Study participants completed two exploratory search tasks, one with the OrgBox, and one with the OrgDoc, a baseline tool that included features of a rich-text editor (e.g., formatting, bullets) for taking notes.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1145/3404835.3462955

Cites

47 of 47 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Similar systems have been shown to improve users' planning and other metacognitive processes.

    “Similar systems have been shown to improve users' planning and other metacognitive processes [38].”

    From The Metacognitive Demands and Opportunities of Generative AI (2024) · cites this paper as [38]

    Section 5.4 reports that OrgBox users perceived significantly greater support for monitoring and evaluation than users of the comparison tool. Planning support was rated higher, but the difference was not statistically significant (p=.059). The study measured perceived support, not demonstrated improvements in users’ metacognitive processes. (LLM, conf=0.88)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 2

  1. Anita Crescenzi. 2016. Metacognitive knowledge and metacognitive regulation in time-constrained information search. In Search as Learning workshop at SIGIR '16, Vol. 1647. 1-5. http://ceur-ws.org/Vol-1647/SAL2016_paper_5.pdf
  2. Sandra G. Hart and Lowell E. Staveland. 1988. Development of NASA-TLX (Task Load Index): Results of empirical and theoretical research. In Human mental workload, Peter A. Hancock and Najmedin Meshkati (Eds.). Advances in Psychology, Vol. 52. Elsevier Science Publishers B. V., North Holland, 138-183.

Cited by

Sorted by citations

Authors
Crescenzi, A., Ward, A. R., Li, Y., & Capra, R.
Affiliations
  • University of North Carolina at Chapel Hill (US)
  • University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
Venue
Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval
Publisher
ACM
Published
2021-07-11
Pages
1197-1207
OpenAlex
W3154112228
Cited by
25
References
47
Citations by year
2026: 2 · 2025: 7 · 2024: 6 · 2023: 4 · 2022: 5 · 2021: 1
FWCI
3.32
Type
conference paper
Language
en
Open access
Locations
International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) (publishedVersion)
Funders
National Science Foundation (IIS-1552587.)
Topics
  • Physical Sciences › Computer Science › Information Systems › Information Retrieval and Search Behavior
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Data Visualization and Analytics
  • Social Sciences › Decision Sciences › Information Systems and Management › Personal Information Management and User Behavior
Keywords
metacognition, exploratory search, information synthesis, information organization, reflective learning

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review