Evidence map›Paper›PMID 40224642›Full record

ArticleFrontiers in artificial intelligence2025

Adapting emotional support in teams: productivity, emotional stability, and conscientiousness.

Isabella Saccardi, Judith Masthoff

Abstract read
In one paragraph

Article in Frontiers in artificial intelligence, 2025. 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

2 authors.

Isabella SaccardiDepartment of Information and Computing Sciences, Utrecht University, Utrecht, Netherlands.
Judith MasthoffDepartment of Information and Computing Sciences, Utrecht University, Utrecht, Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Students' mental health has received increased attention in recent years: reports of worsened mental health among higher education students call for new ways to support them in their college years. Educational demands are among the concerns that students report, such as the stress of academic performance, the stress related to examinations and the pressure to succeed. One aspect often present in higher education is group work. Group work can be truly beneficial for learning, but it often causes additional stress to students. The present research contributes to the design of a peer assessment tool to support students during group work. In this tool, each student is asked to rate their teammates on several aspects of group work, and a virtual agent delivers support statements in response to such ratings. For the support statements to be appropriate, the virtual agent should adapt them to the recipient and the group work situation they are experiencing. We investigate the adaptation of emotional support statements to the student's personality trait of Conscientiousness and the score assigned to a teammate on one aspect of teamwork, Productivity. The resulting algorithm is then combined with related work on Emotional Stability, and a final algorithm considering both dimensions is created.

Indexed as

collaborative learningemotional supportgroupspersonalitypersonalization

Identifiers

PMID40224642
PMCPMC11985519

What OpenQuestion holds

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LicenceCC BY
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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.