Abstract
With the help of artificial intelligence, the way humans are able to understand each other and give a response accordingly, is fed into the chatbot systems, i.e. into systems that are supposed to communicate with a user. The bot understands the user’s query and triggers an accurate response. In the healthcare domain, such chatbot based systems gain in interest since they promise to increase adherence to electronically delivered treatment and disease management programmes. In this chapter, we provide an overview on chatbot systems in mental health. Artificial intelligence is exploited in such systems for natural language understanding, to create a human-like conversation and to make appropriate recommendations given a specific user utterance and mental state. Potential benefits of chatbots have been shown with respect to psychoeducation and adherence. However, there are also limitations and ethical issues to be considered including the impact on the patient-therapist relationship, the risk of over-reliance or the limited skills and emotional intelligence of chatbots that might limit their applicability.
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Denecke, K., Abd-Alrazaq, A., Househ, M. (2021). Artificial Intelligence for Chatbots in Mental Health: Opportunities and Challenges. In: Househ, M., Borycki, E., Kushniruk, A. (eds) Multiple Perspectives on Artificial Intelligence in Healthcare. Lecture Notes in Bioengineering. Springer, Cham. https://doi.org/10.1007/978-3-030-67303-1_10
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