@inproceedings{dc1e5adae85b4c048024db071d11443c,
title = "A conversational agent for an online mental health intervention",
abstract = "![CDATA[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.]]",
keywords = "Australia, drinking of alcoholic beverages, mental health, young adults",
author = "Danielle Elmasri and Anthony Maeder",
year = "2016",
doi = "10.1007/978-3-319-47103-7_24",
language = "English",
isbn = "9783319471020",
publisher = "Springer",
pages = "243--251",
booktitle = "Brain Informatics and Health: International Conference, BIH 2016, Omaha, NE, USA, October 13-16, 2016 Proceedings",
note = "BIH (Conference) ; Conference date: 13-10-2016",
}