Recursive Neural Networks for Coding Therapist and Patient Behavior in Motivational Interviewing
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
EMMI -- Empathic Multimodal Motivational Interviews Dataset: Analyses and Annotations
The study of multimodal interaction in therapy can yield a comprehensive understanding of therapist and patient behavior that can be used to develop a multimodal virtual agent supporting therapy. This investigation aims …
multimodal interactionChain-of-Interaction: Enhancing Large Language Models for Psychiatric Behavior Understanding by Dyadic Contexts
Automatic coding patient behaviors is essential to support decision making for psychotherapists during the motivational interviewing (MI), a collaborative communication intervention approach to address psychiatric issues…
Decision MakingTowards Detecting Need for Empathetic Response in Motivational Interviewing
Empathetic response from the therapist is key to the success of clinical psychotherapy, especially motivational interviewing. Previous work on computational modelling of empathy in motivational interviewing has focused o…
PositionA Computational Framework for Behavioral Assessment of LLM Therapists
The emergence of large language models (LLMs) like ChatGPT has increased interest in their use as therapists to address mental health challenges and the widespread lack of access to care. However, experts have emphasized…
In-Context LearningObserving Dialogue in Therapy: Categorizing and Forecasting Behavioral Codes
Automatically analyzing dialogue can help understand and guide behavior in domains such as counseling, where interactions are largely mediated by conversation. In this paper, we study modeling behavioral codes used to as…