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This study examines the rhetorical and linguistic features of argumentative texts generated by ChatGPT on ethically nuanced topics and investigates their persuasive impact on human readers.Through a user study involving 62 participants and…

人机交互 · 计算机科学 2025-08-14 Daniel Raffini , Agnese Macori , Lorenzo Porcaro , Tiziana Catarci , Marco Angelini

Effective emotional support hinges on understanding users' emotions and needs to provide meaningful comfort during multi-turn interactions. Large Language Models (LLMs) show great potential for expressing empathy; however, they often…

计算与语言 · 计算机科学 2025-05-23 Jing Ye , Lu Xiang , Yaping Zhang , Chengqing Zong

As large language models (LLMs) become increasingly integrated into online platforms and digital communication spaces, their potential to influence public discourse - particularly in contentious areas like climate change - requires…

计算机与社会 · 计算机科学 2025-06-17 Wenlu Fan , Wentao Xu

The advent of large language models (LLMs) has gained tremendous attention over the past year. Previous studies have shown the astonishing performance of LLMs not only in other tasks but also in emotion recognition in terms of accuracy,…

计算与语言 · 计算机科学 2023-10-24 Liyizhe Peng , Zixing Zhang , Tao Pang , Jing Han , Huan Zhao , Hao Chen , Björn W. Schuller

The emergence of Large Language Models (LLMs), has opened exciting possibilities for constructing computational simulations designed to replicate human behavior accurately. Current research suggests that LLM-based agents become increasingly…

计算与语言 · 计算机科学 2024-12-18 Amir Taubenfeld , Yaniv Dover , Roi Reichart , Ariel Goldstein

Do generative AI models, particularly large language models (LLMs), exhibit systematic behavioral biases in economic and financial decisions? If so, how can these biases be mitigated? Drawing on the cognitive psychology and experimental…

综合经济学 · 经济学 2026-02-11 Pietro Bini , Lin William Cong , Xing Huang , Lawrence J. Jin

In human society, trust is an essential component of social attitude that helps build and maintain long-term, healthy relationships which creates a strong foundation for cooperation, enabling individuals to work together effectively and…

人机交互 · 计算机科学 2025-07-30 Anushka Debnath , Stephen Cranefield , Emiliano Lorini , Bastin Tony Roy Savarimuthu

Large language models (LLMs) show promise for supporting clinicians in diagnostic communication by generating explanations and guidance for patients. Yet their ability to produce outputs that are both understandable and empathetic remains…

计算与语言 · 计算机科学 2025-11-04 Jianzhou Yao , Shunchang Liu , Guillaume Drui , Rikard Pettersson , Alessandro Blasimme , Sara Kijewski

The escalating global mental health crisis, marked by persistent treatment gaps, availability, and a shortage of qualified therapists, positions Large Language Models (LLMs) as a promising avenue for scalable support. While LLMs offer…

As large language models (LLMs) and LLM-based agents increasingly interact with humans in decision-making contexts, understanding the trust dynamics between humans and AI agents becomes a central concern. While considerable literature…

计算与语言 · 计算机科学 2026-04-16 Valeria Lerman , Yaniv Dover

This study validates Large Language Models (LLMs) as a dynamic alternative to questionnaire-based personality assessment. Using a within-subjects experiment (N=33), we compared Big Five personality scores derived from guided LLM…

计算与语言 · 计算机科学 2026-02-19 Andrius Matšenas , Anet Lello , Tõnis Lees , Hans Peep , Kim Lilii Tamm

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…

计算机与社会 · 计算机科学 2025-05-21 Francesco Salvi , Manoel Horta Ribeiro , Riccardo Gallotti , Robert West

The emergence of Large Language Models (LLMs) has revealed a growing need for human-AI collaboration, especially in creative decision-making scenarios where trust and reliance are paramount. Through human studies and model evaluations on…

计算与语言 · 计算机科学 2024-10-07 Manasi Sharma , Ho Chit Siu , Rohan Paleja , Jaime D. Peña

Limited access to mental health care has motivated the use of digital tools and conversational agents powered by large language models (LLMs), yet their quality and reception remain unclear. We present a study comparing therapist-written…

人机交互 · 计算机科学 2025-09-16 Synthia Wang , Yuwei Cheng , Austin Song , Sarah Keedy , Marc Berman , Nick Feamster

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…

人工智能 · 计算机科学 2025-08-14 Sarah Schröder , Thekla Morgenroth , Ulrike Kuhl , Valerie Vaquet , Benjamin Paaßen

This report analyzes the potential for large language models (LLMs) to expedite accurate replication and generalization of published research about message effects in marketing. LLM-powered participants (personas) were tested by replicating…

计算与语言 · 计算机科学 2025-04-28 Leo Yeykelis , Kaavya Pichai , James J. Cummings , Byron Reeves

Large Language Models (LLMs) have revolutionized human-AI interaction by enabling intuitive task execution through natural language prompts. Despite their potential, designing effective prompts remains a significant challenge, as small…

软件工程 · 计算机科学 2025-04-08 Yuetian Mao , Junjie He , Chunyang Chen

This work investigates the capabilities of large language models (LLMs) in detecting and understanding human emotions through text. Drawing upon emotion models from psychology, we adopt an interdisciplinary perspective that integrates…

计算与语言 · 计算机科学 2025-03-10 Florian Lecourt , Madalina Croitoru , Konstantin Todorov

Human communication is motivated: people speak, write, and create content with a particular communicative intent in mind. As a result, information that large language models (LLMs) and AI agents process is inherently framed by humans'…

计算与语言 · 计算机科学 2026-02-03 Addison J. Wu , Ryan Liu , Kerem Oktar , Theodore R. Sumers , Thomas L. Griffiths

The pursuit of human-level artificial intelligence (AI) has significantly advanced the development of autonomous agents and Large Language Models (LLMs). LLMs are now widely utilized as decision-making agents for their ability to interpret…