Evidence map›Paper›PMID 41719353›Full record

ArticlePloS one2026

Personally speaking: Developing and evaluating an ontology of dimensions of meaning for self-disclosure with a conversational assistant.

Libby Ferland, Hannah Qu, Wilma Koutstaal

Abstract read
In one paragraph

Article in PloS one, 2026. 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

3 authors.

Libby FerlandDepartment of Computer Science and Engineering, University of Minnesota, Minneapolis, Minnesota, United States of America.ORCID https://orcid.org/0000-0002-1692-4799
Hannah QuDepartment of Psychology, University of Minnesota, Minneapolis, Minnesota, United States of America.
Wilma KoutstaalDepartment of Psychology, University of Minnesota, Minneapolis, Minnesota, United States of America.ORCID https://orcid.org/0000-0003-2464-6511

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dialogue systems and conversational assistants are promising technologies given their general accessibility and appeal, but longer-term adoption often falters. Creating systems that engage users over the long term is a challenging design problem, largely because it depends on relationship formation between user and agent. Self-disclosure, or the act of revealing information about oneself, is a fundamental component of relationship building and maintenance between humans, and it has been shown to occur in interactions between humans and language-based systems as well. Disclosure on the part of users is an exceptionally rich source of information that has the potential to shape everything from user modeling to conversational experience design; however, that same richness makes interpreting disclosure difficult. Although some research has examined different sources of meaning such as topic and intimacy, the convergence of these sources of meaning under one umbrella has yet to be considered. We propose an ontology of self-disclosure with dialogue systems as a means to address this gap. The proposed ontology encapsulates previously explored dimensions of self-disclosure, such as topic and intimacy, as well as some additional novel layers of meaning, such as the separation of topic from the mental verb referred to in the disclosure (e.g., habit vs. preference vs. memory), in order to further discretize the separate dimensions of this complex phenomenon and make explicit potentially valuable sources of information for agents. We demonstrate an application of this ontology to instances of self-disclosure, drawn from real dialogues between users and a task-oriented conversational assistant, and examine the observed relationships between different dimensions of meaning. The practical implications of these findings, as well as the potential for further developing the ontology, demonstrate the usefulness and value of approaching self-disclosure as a multi-faceted, interconnected phenomenon.

Indexed as

CommunicationSelf DisclosureHumans

Identifiers

PMID41719353
PMCPMC12923126

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.