Evidence map›Paper›PMID 36960179›Full record

ArticleFrontiers in digital health2023

Supporting mental health self-care discovery through a chatbot.

Joonas Moilanen, Niels van Berkel, Aku Visuri, Ujwal Gadiraju, Willem van der Maden, Simo Hosio

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In one paragraph

Article in Frontiers in digital health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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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

6 authors.

Joonas MoilanenFaculty of Information Technology and Electrical Engineering, Center for Ubiquitous Computing, University of Oulu, Oulu, Finland.
Niels van BerkelDepartment of Computer Science, Human-Centered Computing, Aalborg University, Aalborg, Denmark.
Aku VisuriFaculty of Information Technology and Electrical Engineering, Center for Ubiquitous Computing, University of Oulu, Oulu, Finland.
Ujwal GadirajuFaculty of Electrical Engineering, Mathematics and Computer Science, Web Information Systems, Delft University of Technology, Delft, Netherlands.
Willem van der MadenFaculty of Industrial Design Engineering, Delft University of Technology, Delft, Netherlands.
Simo HosioFaculty of Information Technology and Electrical Engineering, Center for Ubiquitous Computing, University of Oulu, Oulu, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Good mental health is imperative for one's wellbeing. While clinical mental disorder treatments exist, self-care is an essential aspect of mental health. This paper explores the use and perceived trust of conversational agents, chatbots, in the context of crowdsourced self-care through a between-subjects study (

Indexed as

chatbotconversational agent (CA)conversational user interface (CUI)human-computer interactionhuman-computer trustmental healthself-care

Identifiers

PMID36960179
PMCPMC10028281

What OpenQuestion holds

Textfull text, public
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.