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Large Language Models (LLMs) have demonstrated remarkable performance across various information-seeking and reasoning tasks. These computational systems drive state-of-the-art dialogue systems, such as ChatGPT and Bard. They also carry…

Computation and Language · Computer Science 2023-10-13 Siyuan Brandon Loh , Aravind Sesagiri Raamkumar

As mental health issues continue to rise globally, there is an increasing demand for accessible and scalable therapeutic solutions. Many individuals currently seek support from Large Language Models (LLMs), even though these models have not…

Computation and Language · Computer Science 2026-03-05 Navdeep Singh Bedi , Ana-Maria Bucur , Noriko Kando , Fabio Crestani

This study investigates the efficacy of Large Language Models (LLMs) in interactive language therapy for high-functioning autistic adolescents. With the rapid advancement of artificial intelligence, particularly in natural language…

Human-Computer Interaction · Computer Science 2023-11-17 Yujin Cho , Mingeon Kim , Seojin Kim , Oyun Kwon , Ryan Donghan Kwon , Yoonha Lee , Dohyun Lim

Empathetic dialogue is an indispensable part of building harmonious social relationships and contributes to the development of a helpful AI. Previous approaches are mainly based on fine small-scale language models. With the advent of…

Computation and Language · Computer Science 2024-07-29 Yushan Qian , Wei-Nan Zhang , Ting Liu

In contemporary society, the issue of psychological health has become increasingly prominent, characterized by the diversification, complexity, and universality of mental disorders. Cognitive Behavioral Therapy (CBT), currently the most…

Computation and Language · Computer Science 2024-07-26 Hao Shen , Zihan Li , Minqiang Yang , Minghui Ni , Yongfeng Tao , Zhengyang Yu , Weihao Zheng , Chen Xu , Bin Hu

Problem-solving therapy (PST) is a structured psychological approach that helps individuals manage stress and resolve personal issues by guiding them through problem identification, solution brainstorming, decision-making, and outcome…

Computation and Language · Computer Science 2025-02-20 Elham Aghakhani , Lu Wang , Karla T. Washington , George Demiris , Jina Huh-Yoo , Rezvaneh Rezapour

While Large Language Models (LLMs) are being quickly adapted to many domains, including healthcare, their strengths and pitfalls remain under-explored. In our study, we examine the effects of prompt engineering to guide Large Language…

Computation and Language · Computer Science 2024-09-04 Daniil Filienko , Yinzhou Wang , Caroline El Jazmi , Serena Xie , Trevor Cohen , Martine De Cock , Weichao Yuwen

Effective patient-provider communication is crucial in clinical care, directly impacting patient outcomes and quality of life. Traditional evaluation methods, such as human ratings, patient feedback, and provider self-assessments, are often…

Computation and Language · Computer Science 2024-09-25 Zhiyuan Wang , Fangxu Yuan , Virginia LeBaron , Tabor Flickinger , Laura E. Barnes

Large Language Models (LLMs) have increasingly demonstrated the ability to facilitate the development of multi-agent systems that allow the interpretation of thoughts and actions generated by each individual. Promising advancements have…

Multiagent Systems · Computer Science 2024-09-24 Asher Sprigler , Alexander Drobek , Keagan Weinstock , Wendpanga Tapsoba , Gavin Childress , Andy Dao , Lucas Gral

Unlike professional caregivers, family caregivers often assume this role without formal preparation or training. Because of this, there is an urgent need to enhance the capacity of family caregivers to provide quality care. Large language…

Computation and Language · Computer Science 2024-03-12 Bambang Parmanto , Bayu Aryoyudanta , Wilbert Soekinto , I Made Agus Setiawan , Yuhan Wang , Haomin Hu , Andi Saptono , Yong K. Choi

Caregivers (i.e., parents and members of a child's caring community) are underappreciated stakeholders in learning analytics. Although caregiver involvement can enhance student academic outcomes, many obstacles hinder involvement, most…

Human-Computer Interaction · Computer Science 2024-12-17 Devika Venugopalan , Ziwen Yan , Conrad Borchers , Jionghao Lin , Vincent Aleven

Although engagement in self-directed wellness exercises typically declines over time, integrating social support such as coaching can sustain it. However, traditional forms of support are often inaccessible due to the high costs and complex…

Young people's mental well-being is a global concern, with peer support playing a key role in daily emotional regulation. Conversational agents are increasingly viewed as promising tools for delivering accessible, personalised peer support,…

Human-Computer Interaction · Computer Science 2025-12-01 Ruoyu Wen , Xiaoli Wu , Kunal Gupta , Simon Hoermann , Mark Billinghurst , Alaeddin Nassani , Dwain Allan , Thammathip Piumsomboon

Mental health challenges are rising globally, while traditional support services face limited availability and high costs. Large language models offer potential for conversational support, but often lack personalization, empathy, and…

Human-Computer Interaction · Computer Science 2026-04-24 Truong Le Minh Toan , Dieu Bang Mach , Tan Duy Le , Nguyen Tan Viet Tuyen

Large language models (LLMs) hold significant potential for mental health support, capable of generating empathetic responses and simulating therapeutic conversations. However, existing LLM-based approaches often lack the clinical grounding…

Computation and Language · Computer Science 2025-11-04 He Hu , Yucheng Zhou , Juzheng Si , Qianning Wang , Hengheng Zhang , Fuji Ren , Fei Ma , Laizhong Cui , Qi Tian

Large language models (LLMs) have offered new opportunities for emotional support, and recent work has shown that they can produce empathic responses to people in distress. However, long-term mental well-being requires emotional…

Computation and Language · Computer Science 2024-08-09 Hongli Zhan , Allen Zheng , Yoon Kyung Lee , Jina Suh , Junyi Jessy Li , Desmond C. Ong

There is a significant gap between patient needs and available mental health support today. In this paper, we aim to thoroughly examine the potential of using Large Language Models (LLMs) to assist professional psychotherapy. To this end,…

Computation and Language · Computer Science 2025-01-28 Mian Zhang , Xianjun Yang , Xinlu Zhang , Travis Labrum , Jamie C. Chiu , Shaun M. Eack , Fei Fang , William Yang Wang , Zhiyu Zoey Chen

Large language models (LLMs) have been widely applied in various fields due to their excellent capability for memorizing knowledge and chain of thought (CoT). When these language models are applied in the field of psychological counseling,…

Computation and Language · Computer Science 2023-11-02 Yirong Chen , Xiaofen Xing , Jingkai Lin , Huimin Zheng , Zhenyu Wang , Qi Liu , Xiangmin Xu

Depression poses significant challenges to patients and healthcare organizations, necessitating efficient assessment methods. Existing paradigms typically focus on a patient-doctor way that overlooks multi-role interactions, such as family…

Human-Computer Interaction · Computer Science 2026-03-10 Zhiyuan Zhou , Jilong Liu , Sanwang Wang , Shijie Hao , Yanrong Guo , Richang Hong

Conversational agents powered by large language models (LLM) have increasingly been utilized in the realm of mental well-being support. However, the implications and outcomes associated with their usage in such a critical field remain…

Human-Computer Interaction · Computer Science 2023-08-01 Zilin Ma , Yiyang Mei , Zhaoyuan Su
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