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Designing Depression Screening Chatbots.

G Giunti^1,2, M Isomursu¹, E Gabarron³

¹University of Oulu, Oulu, Finland.

Studies in Health Technology and Informatics

|December 18, 2021

Summary

This summary is machine-generated.

This study outlines key design considerations for integrating conversational agents, or chatbots, into health services. It provides insights for developing effective AI-driven healthcare interfaces.

Keywords:

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

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Area of Science:

Computer Science
Human-Computer Interaction
Health Informatics

Background:

Conversational agents (chatbots) are increasingly used across various sectors due to advancements in AI, natural language processing, and voice recognition.
Chatbots simulate human dialogue via text or voice, offering new avenues for service delivery.
The integration of chatbots into healthcare presents unique opportunities and challenges.

Purpose of the Study:

To identify and describe crucial design considerations for developing chatbot interfaces within the healthcare domain.
To contribute to the ongoing research on the implementation of chatbots in healthcare settings.
To provide practical guidance for designers and developers creating healthcare chatbots.

Main Methods:

A research through design methodology was employed.
This included a comprehensive literature survey on chatbot design principles.
Analysis of current practices in utilizing chatbots as service interfaces was conducted.
A generative design process for a depression screening chatbot interface was undertaken.

Main Results:

The paper details specific design considerations essential for healthcare chatbot integration.
These considerations address the unique requirements of health service delivery through AI interfaces.
The findings are informed by existing knowledge and practical application.

Conclusions:

Effective design is critical for the successful implementation of chatbots in healthcare.
The outlined considerations can guide the development of user-centered and clinically appropriate healthcare chatbots.
Further research and design are needed to optimize chatbot utility in health services.