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Large language models (LLMs) possess strong persuasive capabilities that outperform humans in head-to-head comparisons. Users report consulting LLMs to inform major life decisions in relationships, medical settings, and when seeking…

Human-Computer Interaction · Computer Science 2026-04-28 Nalin Poungpeth , Nicholas Clark , Tanu Mitra

Instructions-tuned Large Language Models (LLMs) gained recently huge popularity thanks to their ability to interact with users through conversation. In this work we aim to evaluate their ability to complete multi-turn tasks and interact…

Computation and Language · Computer Science 2023-08-04 Vojtěch Hudeček , Ondřej Dušek

Large language models (LLMs) are increasingly being used in human-centered social scientific tasks, such as data annotation, synthetic data creation, and engaging in dialog. However, these tasks are highly subjective and dependent on human…

Computation and Language · Computer Science 2024-10-18 Salvatore Giorgi , Tingting Liu , Ankit Aich , Kelsey Isman , Garrick Sherman , Zachary Fried , João Sedoc , Lyle H. Ungar , Brenda Curtis

Advances in large language models (LLMs) are profoundly reshaping the field of human-robot interaction (HRI). While prior work has highlighted the technical potential of LLMs, few studies have systematically examined their human-centered…

Robotics · Computer Science 2026-02-18 Yufeng Wang , Yuan Xu , Anastasia Nikolova , Yuxuan Wang , Jianyu Wang , Chongyang Wang , Xin Tong

Large language models (LLMs) offer novel opportunities to support health behavior change, yet existing work has narrowly focused on text-only interactions. Building on decades of HCI research on effective behavior change interactions, we…

As modern large language models (LLMs) become integral to everyday tasks, concerns about their inherent biases and their potential impact on human decision-making have emerged. While bias in models are well-documented, less is known about…

Human-Computer Interaction · Computer Science 2026-03-20 Jillian Fisher , Shangbin Feng , Robert Aron , Thomas Richardson , Yejin Choi , Daniel W. Fisher , Jennifer Pan , Yulia Tsvetkov , Katharina Reinecke

Large language models (LLMs) have facilitated significant strides in generating conversational agents, enabling seamless, contextually relevant dialogues across diverse topics. However, the existing LLM-driven conversational agents have…

Human-Computer Interaction · Computer Science 2024-02-26 Juhye Ha , Hyeon Jeon , DaEun Han , Jinwook Seo , Changhoon Oh

Large Language Models (LLMs),such as ChatGPT, are increasingly used in research, ranging from simple writing assistance to complex data annotation tasks. Recently, some research has suggested that LLMs may even be able to simulate human…

Artificial Intelligence · Computer Science 2025-08-14 Sarah Schröder , Thekla Morgenroth , Ulrike Kuhl , Valerie Vaquet , Benjamin Paaßen

Large Language Models (LLMs) are transforming programming practices, offering significant capabilities for code generation activities. While researchers have explored the potential of LLMs in various domains, this paper focuses on their use…

Software Engineering · Computer Science 2026-05-04 Deborah Etsenake , Meiyappan Nagappan

A Large Language Model (LLM) is an artificial intelligence system that has been trained on vast amounts of natural language data, enabling it to generate human-like responses to written or spoken language input. GPT-3.5 is an example of an…

Artificial Intelligence · Computer Science 2023-05-09 Gaurav Suri , Lily R. Slater , Ali Ziaee , Morgan Nguyen

Large language models (LLMs) produce responses rated as highly empathic in single-turn settings (Ayers et al., 2023; Lee et al., 2024), yet they are also known to be formulaic generators that reuse the same lexical patterns, syntactic…

Computation and Language · Computer Science 2026-04-14 Hongli Zhan , Emma S. Gueorguieva , Javier Hernandez , Jina Suh , Desmond C. Ong , Junyi Jessy Li

Large language models (LLMs) have seen increasing popularity in enterprise applications where AI agents and humans engage in objective-driven interactions. However, these systems are difficult to evaluate: data may be complex and unlabeled;…

Machine Learning · Computer Science 2025-11-06 Emi Soroka , Tanmay Chopra , Krish Desai , Sanjay Lall

The rapid rise of Large Language Models (LLMs) has created new disruptive possibilities for persuasive communication, enabling fully-automated, personalized, and interactive content generation at an unprecedented scale. In this paper, we…

Computation and Language · Computer Science 2026-04-22 Sander Noels , Alexander Rogiers , Maarten Buyl , Tijl De Bie

Large language models (LLMs) are increasingly impacting human society, particularly in textual information. Based on more than 30,000 papers and 1,000 presentations from machine learning conferences, we examined and compared the words used…

Computation and Language · Computer Science 2024-10-23 Mingmeng Geng , Caixi Chen , Yanru Wu , Dongping Chen , Yao Wan , Pan Zhou

Similar to social media bots that shape public opinion, healthcare and financial decisions, LLM-based ChatBots like ChatGPT can persuade users to alter their behavior. Unlike prior work that persuades via overt-partisan bias or…

Human-Computer Interaction · Computer Science 2025-11-21 Anthony Wise , Xinyi Zhou , Martin Reimann , Anind Dey , Leilani Battle

The rise of social media has fundamentally transformed how people engage in public discourse and form opinions. While these platforms offer unprecedented opportunities for democratic engagement, they have been implicated in increasing…

Social and Information Networks · Computer Science 2025-06-23 Tim Donkers , Jürgen Ziegler

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

This paper delves into the dynamic landscape of artificial intelligence, specifically focusing on the burgeoning prominence of large language models (LLMs). We underscore the pivotal role of Reinforcement Learning from Human Feedback (RLHF)…

Computers and Society · Computer Science 2024-03-18 Dana Alsagheer , Rabimba Karanjai , Nour Diallo , Weidong Shi , Yang Lu , Suha Beydoun , Qiaoning Zhang

Conversation with chatbots based on Large Language Models (LLMs) such as ChatGPT has become one of the major forms of interaction with Artificial Intelligence (AI) in everyday life. What makes this interaction so convenient is that…

Human-Computer Interaction · Computer Science 2026-03-18 Sarah Diefenbach , Daniel Ullrich

Large language models increasingly shape the information people consume: they are embedded in search, consulted for professional advice, deployed as agents, and used as a first stop for questions about policy, ethics, health, and politics.…