Designing Depression Screening Chatbots

G. Giunti, M. Isomursu, E. Gabarron, Y. Solad

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

3 Citations (Scopus)
90 Downloads (Pure)

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.

Original languageEnglish
Title of host publicationNurses and Midwives in the Digital Age - Selected Papers, Posters and Panels from the 15th International Congress in Nursing Informatics
EditorsMichelle Honey, Charlene Ronquillo, Ting-Ting Lee, Lucy Westbrooke
PublisherIOS Press
Pages259-263
Number of pages5
ISBN (Electronic)978-164368220-4
DOIs
Publication statusPublished - 2021
Event15th International Congress in Nursing Informatics: Nurses and Midwives in the Digital Age, NI 2021 - Virtual, Online
Duration: 23 Aug 20212 Sept 2021

Publication series

NameStudies in Health Technology and Informatics
Volume284
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Conference

Conference15th International Congress in Nursing Informatics: Nurses and Midwives in the Digital Age, NI 2021
CityVirtual, Online
Period23/08/212/09/21

Keywords

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

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