The ignorance of mental health has caused many lives. But there is no awareness among the peoplebecause most of the people of our country do not treat mental health issues as equally they treat the physicalissues and disagree to consult with any psychologist or spend money for psychological issues. The proposedidea is to create a psychological assistant bot using Artificial Intelligence based on supervised learning methodthat can diagnose the disease and provide basic instructions before consulting a doctor. To reduce thehealthcare costs and improve accessibility to psychological knowledge the Psychological Assistant Bot (PAB)is built. I have tried to build a prototype of a system that will take text input and give an output afterprocessing. Chabot is computer programs that mimic human conversation to interact with users through avariety of messaging channels. Chabot have also been employed for research and clinical support in everysector - domain. In the field of psychology, chatbots have been applied to informative research where surveyor interview data collection are substituted with chatbots that can interact with the subjects in web messagingapps in a psychological setting. This paper examines the design and development of a Chabot for a psychologyresearch study. The stakeholders, functionality, perspectives and technical challenges are presented anddiscussed. I apply a quality of experience framework to explore the factors that impact stakeholders andinfluence design priories.
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