Evidence map›Paper›PMID 33973854›Full record

ArticleJMIR formative research2021

Evidence of Human-Level Bonds Established With a Digital Conversational Agent: Cross-sectional, Retrospective Observational Study.

Alison Darcy, Jade Daniels, David Salinger, Paul Wicks, Athena Robinson

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in JMIR formative research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07720973 (The Efficacy of "Inner Peak" an AI-enabled Digital Wellness App on Mental Wellness Among a Sample of University of West Indies), which is not on this map. Cited by 72 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
72citing papers in PubMed, 3 pooled it
17.5field-weighted citation impact, top 1% of its field
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.

NCT07720973 nacompletednot on this mapstarted 2025, after this paper: background citation

The Efficacy of "Inner Peak" an AI-enabled Digital Wellness App on Mental Wellness Among a Sample of University of West Indies (UWI) Mona Students

TypeinterventionalSponsorThe University of The West IndiesRan2025 to 2026Enrolled171ConditionsMental Health Wellness 1ArmsIntervention Group, Control group
3 · Its place in the literature

Who cites it

72 citing papers in PubMed, 3 syntheses or guidelines pooled it, 203 citations in OpenAlex.

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12 more citing papers are in PubMed but not listed here.

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 at 1 institution in 1 country.

Alison DarcyWoebot Health, San Francisco, CA, United States.ORCID https://orcid.org/0000-0002-5082-7685
Jade DanielsWoebot Health, San Francisco, CA, United States.ORCID https://orcid.org/0000-0001-8593-3712
David SalingerWoebot Health, San Francisco, CA, United States.ORCID https://orcid.org/0000-0002-0201-1809
Paul WicksWoebot Health, San Francisco, CA, United States.ORCID https://orcid.org/0000-0002-2293-9284
Athena RobinsonWoebot Health, San Francisco, CA, United States.ORCID https://orcid.org/0000-0002-1393-1563
Wolters Kluwer Health · US

Funding

Wellcome Trust
6 · The paper itself

Abstract

backgroundThere are far more patients in mental distress than there is time available for mental health professionals to support them. Although digital tools may help mitigate this issue, critics have suggested that technological solutions that lack human empathy will prevent a bond or therapeutic alliance from being formed, thereby narrowing these solutions' efficacy.

objectiveWe aimed to investigate whether users of a cognitive behavioral therapy (CBT)-based conversational agent would report therapeutic bond levels that are similar to those in literature about other CBT modalities, including face-to-face therapy, group CBT, and other digital interventions that do not use a conversational agent.

methodsA cross-sectional, retrospective study design was used to analyze aggregate, deidentified data from adult users who self-referred to a CBT-based, fully automated conversational agent (Woebot) between November 2019 and August 2020. Working alliance was measured with the Working Alliance Inventory-Short Revised (WAI-SR), and depression symptom status was assessed by using the 2-item Patient Health Questionnaire (PHQ-2). All measures were administered by the conversational agent in the mobile app. WAI-SR scores were compared to those in scientific literature abstracted from recent reviews.

resultsData from 36,070 Woebot users were included in the analysis. Participants ranged in age from 18 to 78 years, and 57.48% (20,734/36,070) of participants reported that they were female. The mean PHQ-2 score was 3.03 (SD 1.79), and 54.67% (19,719/36,070) of users scored over the cutoff score of 3 for depression screening. Within 5 days of initial app use, the mean WAI-SR score was 3.36 (SD 0.8) and the mean bond subscale score was 3.8 (SD 1.0), which was comparable to those in recent studies from the literature on traditional, outpatient, individual CBT and group CBT (mean bond subscale scores of 4 and 3.8, respectively). PHQ-2 scores at baseline weakly correlated with bond scores (r=-0.04; P<.001); however, users with depression and those without depression had high bond scores of 3.45.

conclusionsAlthough bonds are often presumed to be the exclusive domain of human therapeutic relationships, our findings challenge the notion that digital therapeutics are incapable of establishing a therapeutic bond with users. Future research might investigate the role of bonds as mediators of clinical outcomes, since boosting the engagement and efficacy of digital therapeutics could have major public health benefits.

Indexed as

anxietychatbotsconversational agentsdepressiondigital healthmobile mental health

Identifiers

PMID33973854
PMCPMC8150389
OpenAlexW3161732502

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.