A Conversational Agent for an Online Mental Health Intervention

Danielle Elmasri; Anthony Maeder

doi:10.1007/978-3-319-47103-7_24

A Conversational Agent for an Online Mental Health Intervention

Danielle Elmasri, Anthony Maeder

College of Nursing and Health Sciences

Research output: Contribution to conference › Paper › peer-review

60 Citations (Scopus)

Abstract

This study investigated suitability of chatbots for a mental health intervention, specifically alcohol drinking habits assessment. The target group was young adults 18–25 years, the highest consumers of alcohol per capita in Australia. A chatbot program was developed to perform a standard assessment of alcohol drinking habits (AUDIT-C, 3 items rated on 5-point scale) to determine the level of health risk. Additionally, the chatbot provided information and education on responsible alcohol use, giving recommendations and feedback post-assessment using a pre-populated database of factual response contents. Usability and user-satisfaction were determined by a cohort study of 17 volunteer participants. Overall, the trial indicated strong positive reception of the intervention by users.

Original language	English
Pages	243-251
Number of pages	9
DOIs	https://doi.org/10.1007/978-3-319-47103-7_24
Publication status	Published - 1 Jan 2016
Event	Brain Informatics and Health International Conference - Duration: 13 Oct 2016 → …

Conference

Conference	Brain Informatics and Health International Conference
Period	13/10/16 → …

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10.1007/978-3-319-47103-7_24

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AB - This study investigated suitability of chatbots for a mental health intervention, specifically alcohol drinking habits assessment. The target group was young adults 18–25 years, the highest consumers of alcohol per capita in Australia. A chatbot program was developed to perform a standard assessment of alcohol drinking habits (AUDIT-C, 3 items rated on 5-point scale) to determine the level of health risk. Additionally, the chatbot provided information and education on responsible alcohol use, giving recommendations and feedback post-assessment using a pre-populated database of factual response contents. Usability and user-satisfaction were determined by a cohort study of 17 volunteer participants. Overall, the trial indicated strong positive reception of the intervention by users.

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A Conversational Agent for an Online Mental Health Intervention

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