Using a conversational agent for thought recording as a cognitive therapy task: Feasibility, content, and feedback.
Ontology highlight
ABSTRACT: E-mental health for depression is increasingly used in clinical practice, but patient adherence suffers as therapist involvement decreases. One reason may be the low responsiveness of existing programs: especially autonomous systems are lacking in their input interpretation and feedback-giving capabilities. Here, we explore (a) to what extent a more socially intelligent and, therefore, technologically advanced solution, namely a conversational agent, is a feasible means of collecting thought record data in dialog, (b) what people write about in their thought records, (c) whether providing content-based feedback increases motivation for thought recording, a core technique of cognitive therapy that helps patients gain an understanding of how their thoughts cause their feelings. Using the cro
SUBMITTER: Burger F
PROVIDER: S-EPMC9343632 | biostudies-literature | 2022
REPOSITORIES: biostudies-literature
ACCESS DATA