SHIHbot: A Facebook chatbot for Sexual Health Information on HIV/AIDS

By Jacqueline Brixey, Rens Hoegen, Wei Lan, Joshua A Rusow, K. Singla, Xusen Yin, Ron Artstein, Anton Leuski. 2017

81 citations recorded by the source corpus.

We present the implementation of an autonomous chatbot, SHIHbot, deployed on Facebook, which answers a wide variety of sexual health questions on HIV/AIDS. The chatbot’s response database is com-piled from professional medical and public health resources in order to provide reliable information to users. The system’s backend is NPCEditor, a response selection platform trained on linked questions and answers; to our knowledge this is the first retrieval-based chatbot deployed on a large public social network.

Subfields: General Health Professions, Information Systems, Natural Language Processing

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Citations in the corpus

Anticipating Safety Issues in E2E Conversational AI: Framework and Tooling (2021, background): “To mitigate safety issues, such systems tend not to be E2E (e.g. Fadhil & AbuRa’ed, 2019; Vaira et al., 2018), and source responses from expert-produced data (e.g. Brixey et al., 2017).”
Guiding the Release of Safer E2E Conversational AI through Value Sensitive Design (2022, background): “Conversational systems designed for discussing health issues tend to not be generative models and use expert-produced rather than generic data (e.g. Brixey et al., 2017; Fadhil and AbuRa’ed, 2019; Vaira et al., 2018; Pereira and Díaz, 2019).”
MamaBot: a System based on ML and NLP for supporting Women and Families during Pregnancy (2018, background): “In [23] authors presented SHIHbot, deployed on Facebook, which answers a wide variety of sexual health questions on HIV/AIDS.”
Conversational Agents in Health Care: Scoping Review and Conceptual Analysis (2020, background): “Finally, we excluded articles with poorly reported data on chatbot assessments; therefore, we may have missed some health care conversational agents (Multimedia Appendix 5 [36,97,104-188]).”
Using Health Chatbots for Behavior Change: A Mapping Study (2019, background): “This permits to respond to patients in need, Bespecially when they feel trapped at certain point during their treatment^; and – [53], where authors suggest for chatbots dealing with very sensitive health- conditions like AIDS, the need for users to Brequest to talk to a trained counselor" at any tim”