Designing Depression Screening Chatbots

Giunti, Guido; Isomursu, M.; Gabarron, E.; Solad, Y.

doi:10.3233/SHTI210719

Designing Depression Screening Chatbots

Title

Designing Depression Screening Chatbots

Author

Giunti, Guido (TU Delft Applied Ergonomics and Design; University of Oulu)
Isomursu, M. (University of Oulu)
Gabarron, E. (Norwegian Centre for E-health Research)
Solad, Y. (Yale New Haven Health, New Haven)

Contributor

Honey, Michelle (editor)
Ronquillo, Charlene (editor)
Lee, Ting-Ting (editor)
Westbrooke, Lucy (editor)

Date

2021

Abstract

Advances in voice recognition, natural language processing, and artificial intelligence have led to the increasing availability and use of conversational agents (chatbots) in different settings. Chatbots are systems that mimic human dialogue interaction through text or voice. This paper describes a series of design considerations for integrating chatbots interfaces with health services. The present paper is part of ongoing work that explores the overall implementation of chatbots in the healthcare context. The findings have been created using a research through design process, combining (1) literature survey of existing body of knowledge on designing chatbots, (2) analysis on state-of-the-practice in using chatbots as service interfaces, and (3) generative process of designing a chatbot interface for depression screening. In this paper we describe considerations that would be useful for the design of a chatbot for a healthcare context.

Subject

artificial intelligence
chatbots
conversational agents
depression
healthcare
machine learning
mHealth
natural language processing

To reference this document use:

http://resolver.tudelft.nl/uuid:d223fe3c-21f2-4c89-b762-30fbe6ba214f

DOI

https://doi.org/10.3233/SHTI210719

Publisher

IOS Press

ISBN

978-164368220-4

Source

Nurses and Midwives in the Digital Age - Selected Papers, Posters and Panels from the 15th International Congress in Nursing Informatics