Recent advances in deep learning based dialogue systems: A systematic survey

J Ni, T Young, V Pandelea, F Xue… - Artificial intelligence review, 2023 - Springer
Dialogue systems are a popular natural language processing (NLP) task as it is promising in
real-life applications. It is also a complicated task since many NLP tasks deserving study are …

[HTML][HTML] Machine learning and natural language processing in mental health: systematic review

A Le Glaz, Y Haralambous, DH Kim-Dufor… - Journal of medical …, 2021 - jmir.org
Background Machine learning systems are part of the field of artificial intelligence that
automatically learn models from data to make better decisions. Natural language processing …

Human–AI collaboration enables more empathic conversations in text-based peer-to-peer mental health support

A Sharma, IW Lin, AS Miner, DC Atkins… - Nature Machine …, 2023 - nature.com
Advances in artificial intelligence (AI) are enabling systems that augment and collaborate
with humans to perform simple, mechanistic tasks such as scheduling meetings and …

Natural language processing for mental health interventions: a systematic review and research framework

M Malgaroli, TD Hull, JM Zech, T Althoff - Translational Psychiatry, 2023 - nature.com
Neuropsychiatric disorders pose a high societal cost, but their treatment is hindered by lack
of objective outcomes and fidelity metrics. AI technologies and specifically Natural …

A scoping review of machine learning in psychotherapy research

K Aafjes-van Doorn, C Kamsteeg, J Bate… - Psychotherapy …, 2021 - Taylor & Francis
Abstract Machine learning (ML) offers robust statistical and probabilistic techniques that can
help to make sense of large amounts of data. This scoping review paper aims to broadly …

Improving mental health services: A 50-year journey from randomized experiments to artificial intelligence and precision mental health

L Bickman - Administration and Policy in Mental Health and Mental …, 2020 - Springer
This conceptual paper describes the current state of mental health services, identifies critical
problems, and suggests how to solve them. I focus on the potential contributions of artificial …

Helping the helper: Supporting peer counselors via ai-empowered practice and feedback

SL Hsu, RS Shah, P Senthil, Z Ashktorab… - arXiv preprint arXiv …, 2023 - arxiv.org
Millions of users come to online peer counseling platforms to seek support on diverse topics
ranging from relationship stress to anxiety. However, studies show that online peer support …

The evolution of motivational interviewing

WR Miller - Behavioural and Cognitive Psychotherapy, 2023 - cambridge.org
This review traces the development of motivational interviewing (MI) from its happenstance
beginnings and the first description published in this journal in 1983, to its continuing …

Technology-enhanced human interaction in psychotherapy.

ZE Imel, DD Caperton, M Tanana… - Journal of counseling …, 2017 - psycnet.apa.org
Psychotherapy is on the verge of a technology-inspired revolution. The concurrent
maturation of communication, signal processing, and machine learning technologies begs …

Chain-of-interaction: Enhancing large language models for psychiatric behavior understanding by dyadic contexts

G Han, W Liu, X Huang, B Borsari - arXiv preprint arXiv:2403.13786, 2024 - arxiv.org
Automatic coding patient behaviors is essential to support decision making for
psychotherapists during the motivational interviewing (MI), a collaborative communication …