Analyzing User Interaction with Automated Conversational Agents Used As Mental Health Interventions

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Abstract/Contents

Abstract
Analyzing User Interaction with Automated Conversational Agents Used As Mental Health Interventions: "Can automated conversational agents establish a working alliance with their human users?" and "Predicting chatbot-mediated self-guided therapy"

Description

Type of resource text
Date created June 1, 2018

Creators/Contributors

Author Lim, David S.
Degree granting institution Stanford University, Department of Linguistics, Symbolic Systems

Subjects

Subject Symbolic Systems
Subject Stanford
Subject chatbots
Subject mental health
Subject woebot
Genre Thesis

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User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.
License
This work is licensed under a Creative Commons Attribution Non Commercial No Derivatives 3.0 Unported license (CC BY-NC-ND).

Preferred citation

Preferred Citation
Lim, David S.. (2018). Analyzing User Interaction with Automated Conversational Agents Used As Mental Health Interventions. Stanford Digital Repository. Available at: https://purl.stanford.edu/ff112sy9127

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Undergraduate Honors Theses, Symbolic Systems Program, Stanford University

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