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Expressing stressful experiences in words is proven to improve mental and physical health, but individuals often disengage with writing interventions as they struggle to organize their thoughts and emotions. Reflective prompts have been…

Human-Computer Interaction · Computer Science 2025-05-09 Inhwa Song , SoHyun Park , Sachin R. Pendse , Jessica Lee Schleider , Munmun De Choudhury , Young-Ho Kim

The rise of large language models (LLMs) has revolutionized user interactions with knowledge-based systems, enabling chatbots to synthesize vast amounts of information and assist with complex, exploratory tasks. However, LLM-based chatbots…

Human-Computer Interaction · Computer Science 2024-11-01 Yingzhe Peng , Xiaoting Qin , Zhiyang Zhang , Jue Zhang , Qingwei Lin , Xu Yang , Dongmei Zhang , Saravan Rajmohan , Qi Zhang

The rapid advancement of Artificial Intelligence has resulted in the advent of Large Language Models (LLMs) with the capacity to produce text that closely resembles human communication. These models have been seamlessly integrated into…

Machine Learning · Computer Science 2025-02-04 Zenon Lamprou , Yashar Moshfeghi

Personalized support is essential to fulfill individuals' emotional needs and sustain their mental well-being. Large language models (LLMs), with great customization flexibility, hold promises to enable individuals to create their own…

Human-Computer Interaction · Computer Science 2025-05-01 Xi Zheng , Zhuoyang Li , Xinning Gui , Yuhan Luo

Large language models (LLMs) provide a new way to build chatbots by accepting natural language prompts. Yet, it is unclear how to design prompts to power chatbots to carry on naturalistic conversations while pursuing a given goal, such as…

Human-Computer Interaction · Computer Science 2024-05-08 Jing Wei , Sungdong Kim , Hyunhoon Jung , Young-Ho Kim

With the advancement of large language models (LLMs), the focus in Conversational AI has shifted from merely generating coherent and relevant responses to tackling more complex challenges, such as personalizing dialogue systems. In an…

Computation and Language · Computer Science 2025-02-13 Maria Molchanova , Anna Mikhailova , Anna Korzanova , Lidiia Ostyakova , Alexandra Dolidze

Large-language models (LLMs) hold significant promise in improving human-robot interaction, offering advanced conversational skills and versatility in managing diverse, open-ended user requests in various tasks and domains. Despite the…

Robotics · Computer Science 2024-01-09 Callie Y. Kim , Christine P. Lee , Bilge Mutlu

Each day, individuals set behavioral goals such as eating healthier, exercising regularly, or increasing productivity. While psychological frameworks (i.e., goal setting and implementation intentions) can be helpful, they often need…

Human-Computer Interaction · Computer Science 2026-02-10 Michel Schimpf , Sebastian Maier , Anton Wyrowski , Lara Christoforakos , Stefan Feuerriegel , Thomas Bohné

Creating and deploying customized applications is crucial for operational success and enriching user experiences in the rapidly evolving modern business world. A prominent facet of modern user experiences is the integration of chatbots or…

We present a work in progress that explores using a Large Language Model (LLM) as a design material for an interactive museum installation. LLMs offer the possibility of creating chatbots that can facilitate dynamic and human-like…

Human-Computer Interaction · Computer Science 2025-03-31 Maria Padilla Engstrøm , Anders Sundnes Løvlie

Recent Large Language Models (LLMs) have shown remarkable capabilities in mimicking fictional characters or real humans in conversational settings. However, the realism and consistency of these responses can be further enhanced by providing…

Computation and Language · Computer Science 2023-12-29 Seokhoon Jeong , Assentay Makhmud

LGBTQ+ individuals are increasingly turning to chatbots powered by large language models (LLMs) to meet their mental health needs. However, little research has explored whether these chatbots can adequately and safely provide tailored…

Human-Computer Interaction · Computer Science 2024-02-15 Zilin Ma , Yiyang Mei , Yinru Long , Zhaoyuan Su , Krzysztof Z. Gajos

Large Language Models (LLMs) excel in handling general knowledge tasks, yet they struggle with user-specific personalization, such as understanding individual emotions, writing styles, and preferences. Personalized Large Language Models…

Artificial Intelligence · Computer Science 2025-09-23 Jiahong Liu , Zexuan Qiu , Zhongyang Li , Quanyu Dai , Wenhao Yu , Jieming Zhu , Minda Hu , Menglin Yang , Tat-Seng Chua , Irwin King

Large language model (LLM) applications, such as ChatGPT, are a powerful tool for online information-seeking (IS) and problem-solving tasks. However, users still face challenges initializing and refining prompts, and their cognitive…

Human-Computer Interaction · Computer Science 2024-02-12 Ben Wang , Jiqun Liu , Jamshed Karimnazarov , Nicolas Thompson

As Large Language Models (LLMs) are increasingly deployed in customer-facing applications, a critical yet underexplored question is how users communicate differently with LLM chatbots compared to human agent. In this study, we present…

Computation and Language · Computer Science 2025-10-06 Fulei Zhang , Zhou Yu

Large Language Models (LLMs), such as ChatGPT, exhibit advanced capabilities in generating text, images, and videos. However, their effective use remains constrained by challenges in prompt formulation, personalization, and opaque…

Human-Computer Interaction · Computer Science 2025-03-04 Si Thu , A. Baki Kocaballi

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…

To handle ambiguous and open-ended requests, Large Language Models (LLMs) are increasingly trained to interact with users to surface intents they have not yet expressed (e.g., ask clarification questions). However, users are often ambiguous…

Artificial Intelligence · Computer Science 2026-05-14 Tae Soo Kim , Yoonjoo Lee , Jaesang Yu , John Joon Young Chung , Juho Kim

The language generation and reasoning capabilities of large language models (LLMs) have enabled conversational systems with impressive performance in a variety of tasks, from code generation, to composing essays, to passing STEM and legal…

Artificial Intelligence · Computer Science 2025-02-28 Konstantina Christakopoulou , Iris Qu , John Canny , Andrew Goodridge , Cj Adams , Minmin Chen , Maja Matarić

Dialogue-based language models mark a huge milestone in the field of artificial intelligence, by their impressive ability to interact with users, as well as a series of challenging tasks prompted by customized instructions. However, the…

Artificial Intelligence · Computer Science 2023-04-26 Rui Hao , Linmei Hu , Weijian Qi , Qingliu Wu , Yirui Zhang , Liqiang Nie
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