Expressive Interviewing Agents to Support Health-Related Behavior Change

NCT ID: NCT05949840

Last Updated: 2023-07-18

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Clinical Phase

NA

Total Enrollment

151 participants

Study Classification

INTERVENTIONAL

Study Start Date

2021-05-24

Study Completion Date

2021-06-07

Brief Summary

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Expressive writing and motivational interviewing are well-known approaches to help patients handle stressful life events. While these methods are often applied by human counselors, it is less well understood if an automated approach can encourage behavior changes in patients. This study presents an automated writing system and evaluates its impact on individual behavior related to the COVID-19 pandemic. The investigators developed a rule-based dialogue system for "Expressive Interviewing" to elicit writing from participants on the subject of how COVID-19 has impacted their lives. In May-June 2021, the investigators randomly assigned online participants (N=151) to the Expressive Interviewing task and a control condition. The investigators examined their behavior with a survey before the intervention, immediately after, and two weeks after. In aggregate, task participants experienced a significant decrease in stress in the short-term (\~23% decrease, p \< 0.001) and no significant changes in longer-term outcomes compared to the control group. Within the task, participants showed different outcomes based on their writing. Participants who wrote with more anxiety-related words showed a greater short-term decrease in stress (R=-0.264, p\<0.001), and those who wrote with more positive emotion words reported a more meaningful experience (R=0.243, p=0.001). For longer-term effects, participants who wrote with more lexical diversity underwent an increase in social activity (R=0.266, p\<0.001). Expressive Interviewing can generally help with mental health in the short term but not longer-term, and participants' writing choices may make a difference in outcomes. While there were no significant long-term effects observed, the positive short term effect points to potential future directions with a series of Expressive Interviewing interventions for longer-term effects.

Detailed Description

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Conditions

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Mental Stress

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

PARALLEL

Primary Study Purpose

SUPPORTIVE_CARE

Blinding Strategy

DOUBLE

Participants Outcome Assessors
Participants were recruited online, and were anonymized to the researchers.

Study Groups

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Expressive Interviewing + Survey

Intervention with Expressive Interviewing computer system. Participants spent roughly 10-15 minutes each in conversation with an automated computer chat system. Participants answered a survey about mental health and social outcomes immediately before the intervention and two weeks after the intervention.

Group Type EXPERIMENTAL

Expressive Interviewing

Intervention Type OTHER

Automated computer system designed to engage participants in discussion about challenges faced during the COVID-19 pandemic.

Survey Only

No intervention. Participants answered a survey about mental health and social outcomes at time of recruitment and two weeks afterward.

Group Type NO_INTERVENTION

No interventions assigned to this group

Interventions

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Expressive Interviewing

Automated computer system designed to engage participants in discussion about challenges faced during the COVID-19 pandemic.

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

* Using Prolific platform as crowd worker
* Living in United States

Exclusion Criteria

* Participating in another condition of the same study
Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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University of Texas at Austin

OTHER

Sponsor Role collaborator

University of Michigan

OTHER

Sponsor Role lead

Responsible Party

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Rada Mihalcea

Professor of Computer Science

Responsibility Role PRINCIPAL_INVESTIGATOR

Locations

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University of Michigan

Ann Arbor, Michigan, United States

Site Status

Countries

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United States

References

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Stewart I, Welch C, An L, Resnicow K, Pennebaker J, Mihalcea R. Expressive Interviewing Agents to Support Health-Related Behavior Change: Randomized Controlled Study of COVID-19 Behaviors. JMIR Form Res. 2023 Aug 1;7:e40277. doi: 10.2196/40277.

Reference Type RESULT
PMID: 37074948 (View on PubMed)

Other Identifiers

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HUM00182586

Identifier Type: -

Identifier Source: org_study_id

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