The MIRA chatbot, a Mental Health Virtual Assistant, was developed to connect healthcare workers to trusted services and programs in order to address rising mental health concerns during the COVID-19 pandemic. It leveraged Natural Language Processing (NLP) within a structured conversation flow designed by domain experts to cater to healthcare workers. This work extends MIRA to accommodate diverse populations and improve accessibility to mental health services. We introduce a chatbot builder and flow visualizer to simplify conversation flow creation and modification for non-technical experts, supporting iterative improvements and multidisciplinary collaboration. The current system replaces the hard-coded conversational logic, which required extensive modification to support even minor changes. Our work has been successfully deployed and is available for public use ( https://mymira.ca .) .

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Integrating Conversational Pathways with a Chatbot Builder Platform

  • Varshini Prakash,
  • Alex Lambe Foster,
  • Jasmine Noble,
  • Osmar R. Zaiane

摘要

The MIRA chatbot, a Mental Health Virtual Assistant, was developed to connect healthcare workers to trusted services and programs in order to address rising mental health concerns during the COVID-19 pandemic. It leveraged Natural Language Processing (NLP) within a structured conversation flow designed by domain experts to cater to healthcare workers. This work extends MIRA to accommodate diverse populations and improve accessibility to mental health services. We introduce a chatbot builder and flow visualizer to simplify conversation flow creation and modification for non-technical experts, supporting iterative improvements and multidisciplinary collaboration. The current system replaces the hard-coded conversational logic, which required extensive modification to support even minor changes. Our work has been successfully deployed and is available for public use ( https://mymira.ca .) .