Evidence map›Paper›PMID 41502877›Full record

ArticleVisualization : proceedings of the ... IEEE Conference on Visualization. IEEE Conference on Visualization2025

An Evaluation of Temporal and Categorical Uncertainty on Timelines: A Case Study in Human Activity Recall Visualizations.

Veronika Potter, Ha Le, Uzma Haque Syeda, Stephen Intille, Michelle A Borkin

Abstract read
In one paragraph

Article in Visualization : proceedings of the ... IEEE Conference on Visualization. IEEE Conference on Visualization, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. A Context-Assisted, Semi-Automated Activity Recall Interface Allowing Uncertainty.Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Veronika PotterKhoury College of Computer Sciences, Northeastern University.
Ha LeKhoury College of Computer Sciences, Northeastern University.
Uzma Haque SyedaKhoury College of Computer Sciences, Northeastern University.
Stephen IntilleKhoury College of Computer Sciences, Northeastern University.
Michelle A BorkinKhoury College of Computer Sciences, Northeastern University.

Funding

Accelerating the development of novel methods to measure 24-hr physical behaviorR01CA252966 · NCI · NORTHEASTERN UNIVERSITY · PI INTILLE, STEPHEN S · 2020 to 2024
$2.2M
NCI NIH HHS R01 CA252966
6 · The paper itself

Abstract

Encoding uncertainty in timelines can provide more precise and informative visualizations (e.g., visual representations of unsure times or locations in event planning timelines). To evaluate the effectiveness of different temporal and categorical uncertainty representations on timelines, we conducted a mixed-methods user study with 81 participants on uncertainty in activity recall timelines (ARTs). We find that participants' accuracy is better when temporal uncertainty is encoded using transparency instead of dashing, and that a participant's visual encoding preference does not always align with their performance (e.g., they performed better with a less-preferred visual encoding technique). Additionally, qualitative findings show that existing biases of an individual alter their interpretation of ARTs. A copy of our study materials is available at https://osf.io/98p6m/.

Indexed as

Evaluation StudyTimelinesUncertainty Visualization

Identifiers

PMID41502877
PMCPMC12774288

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.