Cognitive Behavioral Therapy Chatbot

dc.contributor.author	Daniyal Ahmad Aftab, Usman Haider
dc.date.accessioned	2020-12-23T05:26:19Z
dc.date.available	2020-12-23T05:26:19Z
dc.date.issued	2019
dc.identifier.uri	http://10.250.8.41:8080/xmlui/handle/123456789/19467
dc.description	Supervisor: Dr. Salman Ahmad	en_US
dc.description.abstract	Background: Current web or android based cognitive-behavioral therapeutic (CBT) apps have demonstrated efficacy but are characterized by poor adherence. Conversational agents may offer a convenient, engaging way of getting support at any time. Objective: The objective of the study was to determine the feasibility, acceptability, and preliminary efficacy of a fully automated conversational agent to deliver a self-help program for college students who self-identify as having symptoms of anxiety and depression. Methods: We would recruit students from our university. Those students would receive up to 20 sessions of self-help content derived from CBT principle in a conversational format with a text-based conversational agent. Participants would complete Web or android based versions of the 9-item Patient Health Questionnaire (PHQ-9), the 7-item Generalized Anxiety Disorder scale (GAD-7), and the Positive and Negative Affect Scale at baseline and 2-3 weeks later (T2).	en_US
dc.publisher	SEECS, National University of Sciences and Technology, Islamabad	en_US
dc.subject	Electrical Engineering	en_US
dc.title	Cognitive Behavioral Therapy Chatbot	en_US
dc.type	Thesis	en_US