Evidence map›Paper›PMID 34960495›Full record

ArticleSensors (Basel, Switzerland)2021

On the Use of Large Interactive Displays to Support Collaborative Engagement and Visual Exploratory Tasks.

Lei Chen, Hai-Ning Liang, Jialin Wang, Yuanying Qu, Yong Yue

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Lei ChenDepartment of Computing, Xi'an Jiaotong-Liverpool University, Suzhou 215123, China.ORCID 0000-0002-1524-3000
Hai-Ning LiangDepartment of Computing, Xi'an Jiaotong-Liverpool University, Suzhou 215123, China.ORCID 0000-0003-3600-8955
Jialin WangDepartment of Computing, Xi'an Jiaotong-Liverpool University, Suzhou 215123, China.
Yuanying QuDepartment of Computing, Xi'an Jiaotong-Liverpool University, Suzhou 215123, China.ORCID 0000-0002-3170-0945
Yong YueDepartment of Computing, Xi'an Jiaotong-Liverpool University, Suzhou 215123, China.ORCID 0000-0001-7695-4538

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Large interactive displays can provide suitable workspaces for learners to conduct collaborative learning tasks with visual information in co-located settings. In this research, we explored the use of these displays to support collaborative engagement and exploratory tasks with visual representations. Our investigation looked at the effect of four factors (number of virtual workspaces within the display, number of displays, position arrangement of the collaborators, and collaborative modes of interaction) on learners' knowledge acquisition, engagement level, and task performance. To this end, a user study was conducted with 72 participants divided into 6 groups using an interactive tool developed to support the collaborative exploration of 3D visual structures. The results of this study showed that learners with one shared workspace and one single display can achieve better user performance and engagement levels. In addition, the back-to-back position with learners sharing their view and control of the workspaces was the most favorable. It also led to improved learning outcomes and engagement levels during the collaboration process.

Indexed as

Interdisciplinary PlacementHumansLearningcollaborative learninginteractive displayslarge displaysuser engagementvirtual workspaces

Identifiers

PMID34960495
PMCPMC8704489

What OpenQuestion holds

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Registered trials

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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.