Usability, Acceptability, and Effectiveness of Web-Based Conversational Agents to Facilitate Problem Solving in Older Adults: Controlled Study

Overview

Journal J Med Internet Res

Publisher JMIR Publications

Specialty Medical Informatics

Date 2020 May 9

PMID 32384055

Citations 21

Authors

Matthew Russell Bennion

Gillian E Hardy

Roger K Moore

Stephen Kellett

Abigail Millings

Affiliations

Soon will be listed here.

Abstract

Background: The usability and effectiveness of conversational agents (chatbots) that deliver psychological therapies is under-researched.

Objective: This study aimed to compare the system usability, acceptability, and effectiveness in older adults of 2 Web-based conversational agents that differ in theoretical orientation and approach.

Methods: In a randomized study, 112 older adults were allocated to 1 of the following 2 fully automated interventions: Manage Your Life Online (MYLO; ie, a chatbot that mimics a therapist using a method of levels approach) and ELIZA (a chatbot that mimics a therapist using a humanistic counseling approach). The primary outcome was problem distress and resolution, with secondary outcome measures of system usability and clinical outcome.

Results: MYLO participants spent significantly longer interacting with the conversational agent. Posthoc tests indicated that MYLO participants had significantly lower problem distress at follow-up. There were no differences between MYLO and ELIZA in terms of problem resolution. MYLO was rated as significantly more helpful and likely to be used again. System usability of both the conversational agents was associated with helpfulness of the agents and the willingness of the participants to reuse. Adherence was high. A total of 12% (7/59) of the MYLO group did not carry out their conversation with the chatbot.

Conclusions: Controlled studies of chatbots need to be conducted in clinical populations across different age groups. The potential integration of chatbots into psychological care in routine services is discussed.

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Thunstrom A, Carlsen H, Ali L, Larson T, Hellstrom A, Steingrimsson S JMIR Hum Factors. 2024; 11:e54581.

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Systematic review and meta-analysis of AI-based conversational agents for promoting mental health and well-being.

Li H, Zhang R, Lee Y, Kraut R, Mohr D NPJ Digit Med. 2023; 6(1):236.

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