Evaluating Conversational Agents for Mental Health: Scoping Review of Outcomes and Outcome Measurement Instruments

Rapid proliferation of mental health interventions delivered through conversational agents (CAs) calls for high-quality evidence to support their implementation and adoption. Selecting appropriate outcomes, instruments for measuring outcomes, and assessment methods are crucial for ensuring that inte...

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Vydané v:	Journal of medical Internet research Ročník 25; číslo 9; s. e44548
Hlavní autori:	Jabir, Ahmad Ishqi, Martinengo, Laura, Lin, Xiaowen, Torous, John, Subramaniam, Mythily, Tudor Car, Lorainne
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Canada Journal of Medical Internet Research 19.04.2023 Gunther Eysenbach MD MPH, Associate Professor JMIR Publications
Predmet:	Analysis Artificial intelligence Clinical assessment Clinical outcomes Cognition & reasoning Communication Computational linguistics Conversation Data collection Evaluation Extraction Health promotion Health status Human-computer interaction Humans Intervention Language processing Literature reviews Measurement Measures Measuring instruments Medical screening Mental disorders Mental Health Mental health services Multimedia Natural language interfaces Outcome Assessment, Health Care Performance evaluation Post traumatic stress disorder Psychological assessment Quality of life Review Self evaluation Sensors Smartphones Systematic review Taxonomy Telemedicine Treatment outcomes Usability User experience Validity Well being chatbot mobile health outcomes mental health mHealth core outcome set taxonomy conversational agent
ISSN:	1438-8871, 1439-4456, 1438-8871
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