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This study presents a framework for conducting psychological and linguistic research through simulated conversations using large language models (LLMs). The proposed methodology offers significant advantages, particularly for simulating…

计算机与社会 · 计算机科学 2024-03-12 Frank Tian-fang Ye , Xiaozi Gao

Large language models (LLMs) are rapidly evolving from text generators to autonomous agents, raising urgent questions about their reliability in real-world contexts. Stress and anxiety are well known to bias human decision-making,…

人机交互 · 计算机科学 2025-10-09 Ziv Ben-Zion , Zohar Elyoseph , Tobias Spiller , Teddy Lazebnik

We discuss the emerging new opportunity for building feedback-rich computational models of social systems using generative artificial intelligence. Referred to as Generative Agent-Based Models (GABMs), such individual-level models utilize…

人工智能 · 计算机科学 2024-01-15 Navid Ghaffarzadegan , Aritra Majumdar , Ross Williams , Niyousha Hosseinichimeh

Animating and simulating crowds using an agent-based approach is a well-established area where every agent in the crowd is individually controlled such that global human-like behaviour emerges. We observe that human navigation and movement…

人工智能 · 计算机科学 2025-08-22 Yibo Liu , Liam Shatzel , Brandon Haworth , Teseo Schneider

We introduce a general-purpose, human-in-the-loop dual dialogue system to support mental health care professionals. The system, co-designed with care providers, is conceptualized to assist them in interacting with care seekers rather than…

Large Language Model (LLM)-based multi-agent systems are increasingly used to simulate human interactions and solve collaborative tasks. A common practice is to assign agents with personas to encourage behavioral diversity. However, this…

多智能体系统 · 计算机科学 2025-11-18 Jiayi Li , Xiao Liu , Yansong Feng

We propose a multi-agent framework for modeling artificial consciousness in large language models (LLMs), grounded in psychoanalytic theory. Our \textbf{Psychodynamic Model} simulates self-awareness, preconsciousness, and unconsciousness…

计算与语言 · 计算机科学 2025-10-22 Sang Hun Kim , Jongmin Lee , Dongkyu Park , So Young Lee , Yosep Chong

We present a virtual reality (VR) environment featuring conversational avatars powered by a locally-deployed LLM, integrated with automatic speech recognition (ASR), text-to-speech (TTS), and lip-syncing. Through a pilot study, we explored…

人机交互 · 计算机科学 2025-01-08 Mykola Maslych , Christian Pumarada , Amirpouya Ghasemaghaei , Joseph J. LaViola

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…

计算与语言 · 计算机科学 2025-02-20 Elham Aghakhani , Lu Wang , Karla T. Washington , George Demiris , Jina Huh-Yoo , Rezvaneh Rezapour

LLM-powered agents are now used in many areas, from customer support to education, and there is increasing interest in their ability to act more like humans. This includes fields such as social, political, and psychological research, where…

多智能体系统 · 计算机科学 2025-12-22 Monika Zamojska , Jarosław A. Chudziak

The growing demand for accessible mental health support, compounded by workforce shortages and logistical barriers, has led to increased interest in utilizing Large Language Models (LLMs) for scalable and real-time assistance. However,…

Effective patient communication is pivotal in healthcare, yet traditional medical training often lacks exposure to diverse, challenging interpersonal dynamics. To bridge this gap, this study proposes the use of Large Language Models (LLMs)…

Large language models (LLMs) can be used to serve as agents to simulate human behaviors, given the powerful ability to understand human instructions and provide high-quality generated texts. Such ability stimulates us to wonder whether LLMs…

计算与语言 · 计算机科学 2023-12-15 Yunfan Shao , Linyang Li , Junqi Dai , Xipeng Qiu

Recent LLM (Large Language Models) advancements benefit many fields such as education and finance, but HR has hundreds of repetitive processes, such as access requests, medical claim filing and time-off submissions, which are unaddressed.…

计算与语言 · 计算机科学 2024-10-16 Weijie Xu , Jay Desai , Fanyou Wu , Josef Valvoda , Srinivasan H. Sengamedu

Large Language Models (LLMs) have revolutionized Natural Language Processing but exhibit limitations, particularly in autonomously addressing novel challenges such as reasoning and problem-solving. Traditional techniques like…

多智能体系统 · 计算机科学 2024-01-03 Sumedh Rasal

Social simulation is transforming traditional social science research by modeling human behavior through interactions between virtual individuals and their environments. With recent advances in large language models (LLMs), this approach…

Disinformation campaigns can distort public perception and destabilize institutions. Understanding how different populations respond to information is crucial for designing effective interventions, yet real-world experimentation is…

社会与信息网络 · 计算机科学 2025-11-10 David Farr , Lynnette Hui Xian Ng , Stephen Prochaska , Iain J. Cruickshank , Jevin West

The construction industry is characterized by both high physical and psychological risks, yet supports of mental health remain limited. While advancements in artificial intelligence (AI), particularly large language models (LLMs), offer…

人机交互 · 计算机科学 2025-06-10 Fan Yang , Yuan Tian , Jiansong Zhang

Human conversation involves language, speech, and visual cues, with each medium providing complementary information. For instance, speech conveys a vibe or tone not fully captured by text alone. While multimodal LLMs focus on generating…

人机交互 · 计算机科学 2025-09-19 Taesoo Kim , Yongsik Jo , Hyunmin Song , Taehwan Kim

Policymakers must often act under conditions of deep uncertainty, such as emergency response, where predicting the specific impacts of a policy apriori is implausible. Large Language Model (LLM) agent simulations have been proposed as tools…

人机交互 · 计算机科学 2026-02-10 Yuxuan Li , Sauvik Das , Hirokazu Shirado