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Presentation . 2023
License: CC BY SA
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"CoAct for Mental Health" Chatbot: a practical demonstration of a "humans to humans" chatbot reinterpreted for citizen social science

Authors: Bonhoure, Isabelle; Mateu, Assumpta; Figueras, Amanda; Perelló, Josep;

"CoAct for Mental Health" Chatbot: a practical demonstration of a "humans to humans" chatbot reinterpreted for citizen social science

Abstract

The "CoAct for Mental Health" chatbot is a Telegram mobile-based messaging tool to send the microstories written by the Co-Researchers to the Citizen Scientists. Citizen Scientists can answer using buttons and in a structured manner over a long period of time, once or twice every day. The chatbot source code is openly accessible in Creative Commons licence in a Github repository. The chatbot functioning will be showcased in real time by 2 CoResearchers and a member of the promoting team, thus introducing this innovative tool to the conference participants. Using a chatbot for health participatory research has several benefits: the participants can answer the question when it is most convenient for them, thus integrating participation into their daily routines. They can also answer in a private manner and in safe surroundings. The chatbot is also seen as a medium to explore how to increase long-term engagement, which is particularly challenging in Citizen Science projects.

Related Organizations
Keywords

citizen social science, citizen science, chatbot, co-researchers, social support networks, mental health

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green