Abstract
Self-screening for mental health problems is commonly used to detect and assess symptoms, as a first step in diagnosing a problem, and to give recommendations for possible treatment. This study explores the potential of conversational interfaces in providing screening services for mental health care. A chatbot was developed to perform a screening for attention deficit/hyperactivity disorder (ADHD) in adults by including the items from the Adult ADHD Self-Report Scale (ASRS). We compared the conversational chatbot interface responses with reports on the standardised paper-based ASRS, and evaluated the user interaction with the chatbot. The results showed a match between the two modalities in the screening results. Based on interviews with participants and chatlogs we discuss the challenges and user experience of doing self-screening in a conversational interface.
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