Detecting premature departure in online text-based counseling using logic-based pattern matching

BACKGROUND: More so than face-to-face counseling, users of online text-based services might drop out from a session before establishing a clear closure or expressing the intention to leave. Such premature departure may be indicative of heightened risk or dissatisfaction with the service or counselor...

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Detalles Bibliográficos
Autores principales: Xu, Yucan, Chan, Christian S., Tsang, Christy, Cheung, Florence, Chan, Evangeline, Fung, Jerry, Chow, James, He, Lihong, Xu, Zhongzhi, Yip, Paul S.F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Full length Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8632835/
https://www.ncbi.nlm.nih.gov/pubmed/34877263
http://dx.doi.org/10.1016/j.invent.2021.100486

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8632835/
https://www.ncbi.nlm.nih.gov/pubmed/34877263
http://dx.doi.org/10.1016/j.invent.2021.100486

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