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Large language model (LLM) based chatbots show promise in persuasive communication, but existing studies often rely on weak controls or focus on belief change rather than behavioral intentions or outcomes. This pre-registered multi-country…

Automated coaching messages for weight control can save time and costs, but their repetitive, generic nature may limit their effectiveness compared to human coaching. Large language model (LLM) based artificial intelligence (AI) chatbots,…

Computation and Language · Computer Science 2025-02-25 Zhuoran Huang , Michael P. Berry , Christina Chwyl , Gary Hsieh , Jing Wei , Evan M. Forman

The conversational capabilities of Large Language Models (LLMs) suggest that they may be able to perform as automated talk therapists. It is crucial to know if these systems would be effective and adhere to known standards. We present a…

Documentation burden is a major contributor to clinician burnout, which is rising nationally and is an urgent threat to our ability to care for patients. Artificial intelligence (AI) chatbots, such as ChatGPT, could reduce clinician burden…

Standardized surveys scale efficiently but sacrifice depth, while conversational interviews improve response quality at the cost of scalability and consistency. This study bridges the gap between these methods by introducing a framework for…

Human-Computer Interaction · Computer Science 2025-12-02 Soubhik Barari , Jarret Angbazo , Natalie Wang , Leah M. Christian , Elizabeth Dean , Zoe Slowinski , Brandon Sepulvado

Recent advancements in large language models (LLMs) promise to expand mental health interventions by emulating therapeutic techniques, potentially easing barriers to care. Yet there is a lack of real-world empirical evidence evaluating the…

Human-Computer Interaction · Computer Science 2025-01-28 Yinzhou Wang , Yimeng Wang , Ye Xiao , Liabette Escamilla , Bianca Augustine , Kelly Crace , Gang Zhou , Yixuan Zhang

Large Language Models (LLMs) have transformed human-computer interaction by enabling natural language-based communication with AI-powered chatbots. These models are designed to be intuitive and user-friendly, allowing users to articulate…

Background: Motivational interviewing (MI) is an effective counseling approach for promoting health behavior change, but its impact is constrained by the need for highly trained human counselors. Objective: This study aimed to explore a…

Computation and Language · Computer Science 2025-12-18 Run-ze Hu , Yang Yang , Yi-hang Yang , Jing-qi Kong , Jia-hui Luo , Wen-yu Yang , Jing Chen , Jing-yao Liu , Hui-qun Zeng , Lei Zhang , Zheng Liu

In recent years, generative AI has undergone major advancements, demonstrating significant promise in augmenting human productivity. Notably, large language models (LLM), with ChatGPT-4 as an example, have drawn considerable attention.…

Human-Computer Interaction · Computer Science 2024-01-23 Sida Peng , Wojciech Swiatek , Allen Gao , Paul Cullivan , Haoge Chang

Adherence to healthy diets reduces chronic illness risk, yet rates remain low. Large Language Models (LLMs) are increasingly used for health communication but often struggle to engage individuals with ambivalent intentions at a pivotal…

Human-Computer Interaction · Computer Science 2025-11-05 Michelle Bak , Kexin Quan , Tre Tomaszewski , Jessie Chin

Large language models (LLMs) have immense potential to make information more accessible, particularly in medicine, where complex medical jargon can hinder patient comprehension of clinical notes. We developed a patient-facing tool using…

Large language models (LLMs) have shown remarkable progress in encoding clinical knowledge and responding to complex medical queries with appropriate clinical reasoning. However, their applicability in subspecialist or complex medical…

The development and popularization of large language models (LLMs) have raised concerns that they will be used to create tailor-made, convincing arguments to push false or misleading narratives online. Early work has found that language…

Computers and Society · Computer Science 2025-05-21 Francesco Salvi , Manoel Horta Ribeiro , Riccardo Gallotti , Robert West

Effective communication about breast and cervical cancers remains a persistent health challenge, with significant gaps in public understanding of cancer prevention, screening, and treatment, potentially leading to delayed diagnoses and…

Computation and Language · Computer Science 2025-05-19 Agnik Saha , Victoria Churchill , Anny D. Rodriguez , Ugur Kursuncu , Muhammed Y. Idris

The integration of Large Language Models (LLMs) into healthcare settings has gained significant attention, particularly for question-answering tasks. Given the high-stakes nature of healthcare, it is essential to ensure that LLM-generated…

The increasing trust in large language models (LLMs), especially in the form of chatbots, is often undermined by the lack of their extrinsic evaluation. This holds particularly true in nutrition, where randomised controlled trials (RCTs)…

Human-Computer Interaction · Computer Science 2025-11-27 Karen Jia-Hui Li , Simone Balloccu , Ondrej Dusek , Ehud Reiter

Artificial intelligence (AI), particularly in the form of large language models (LLMs) or chatbots, has become increasingly integrated into our daily lives. In the past five years, several LLMs have been introduced, including ChatGPT by…

Human-Computer Interaction · Computer Science 2026-05-06 Mouhacine Benosman

Users can discuss a wide range of topics with large language models (LLMs), but they do not always prefer solving problems or getting information through lengthy conversations. This raises an intriguing HCI question: How does instructing…

Human-Computer Interaction · Computer Science 2024-04-29 Shih-Hong Huang , Ya-Fang Lin , Zeyu He , Chieh-Yang Huang , Ting-Hao 'Kenneth' Huang

People increasingly seek personal advice from large language models (LLMs), yet whether humans follow their advice, and its consequences for their well-being, remains unknown. In a longitudinal randomised controlled trial with a…

Large Language Models (LLMs) have demonstrated promise in medical knowledge assessments, yet their practical utility in real-world clinical decision-making remains underexplored. In this study, we evaluated the performance of three…

Computation and Language · Computer Science 2025-12-30 Mengdi Chai , Ali R. Zomorrodi
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