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Persuasion is a fundamental aspect of communication, influencing decision-making across diverse contexts, from everyday conversations to high-stakes scenarios such as politics, marketing, and law. The rise of conversational AI systems has…

Persuasion is a key aspect of what it means to be human, and is central to business, politics, and other endeavors. Advancements in artificial intelligence (AI) have produced AI systems that are capable of persuading humans to buy products,…

计算机与社会 · 计算机科学 2023-03-16 Matthew Burtell , Thomas Woodside

The increasing capability of Large Language Models to act as human-like social agents raises two important questions in the area of opinion dynamics. First, whether these agents can generate effective arguments that could be injected into…

Virtual humans need to be persuasive in order to promote behaviour change in human users. While several studies have focused on understanding the numerous aspects that influence the degree of persuasion, most of them are limited to dyadic…

人机交互 · 计算机科学 2019-04-11 Reshmashree B. Kantharaju , Dominic De Franco , Alison Pease , Catherine Pelachaud

Large Language Models based on transformer algorithms have revolutionized Artificial Intelligence by enabling verbal interaction with machines akin to human conversation. These AI agents have surpassed the Turing Test, achieving confusion…

Modern AI agents increasingly combine conversational interaction with autonomous task execution, such as coding and web research, raising a natural question: What happens when an agent engaged in long-horizon tasks is exposed to user…

人工智能 · 计算机科学 2026-05-22 Hyejun Jeong , Amir Houmansadr , Shlomo Zilberstein , Eugene Bagdasarian

Recently, large language models have facilitated the emergence of highly intelligent conversational AI capable of engaging in human-like dialogues. However, a notable distinction lies in the fact that these AI models predominantly generate…

人机交互 · 计算机科学 2025-10-13 Jijie Zhou , Yuhan Hu

Explainable AI is increasingly employing argumentation methods to facilitate interactive explanations between AI agents and human users. While existing approaches typically rely on predetermined human user models, there remains a critical…

人工智能 · 计算机科学 2025-02-25 Yinxu Tang , Stylianos Loukas Vasileiou , William Yeoh

There is substantial concern about the ability of advanced artificial intelligence to influence people's behaviour. A rapidly growing body of research has found that AI can produce large persuasive effects on people's attitudes, but whether…

计算机与社会 · 计算机科学 2026-04-13 Kobi Hackenburg , Luke Hewitt , Caroline Wagner , Ben M. Tappin , Christopher Summerfield

As AI agents increasingly operate in multi-agent environments, understanding their collective behavior becomes critical for predicting the dynamics of artificial societies. This study examines conformity, the tendency to align with group…

人工智能 · 计算机科学 2026-01-12 Alessandro Bellina , Giordano De Marzo , David Garcia

Multi-agent AI systems can be used for simulating collective decision-making in scientific and practical applications. They can also be used to introduce a diverse group discussion step in chatbot pipelines, enhancing the cultural…

人工智能 · 计算机科学 2024-08-16 Razan Baltaji , Babak Hemmatian , Lav R. Varshney

Given the fast rise of increasingly autonomous artificial agents and robots, a key acceptability criterion will be the possible moral implications of their actions. In particular, intelligent persuasive systems (systems designed to…

计算机与社会 · 计算机科学 2014-04-16 Marco Guerini , Fabio Pianesi , Oliviero Stock

This paper studies AI persuasion by distinguishing between two reasons for disagreement: attention differences, where the AI detects features the decision-maker missed, and comprehension differences, where the AI and the decision-maker…

综合经济学 · 经济学 2026-02-06 Hanzhe Li , Jin Li , Ye Luo , Xiaowei Zhang

Interactions with AI assistants are increasingly personalized to individual users. As AI personalization is dynamic and machine-learning-driven, we have limited understanding of how personalization affects interaction outcomes and user…

人机交互 · 计算机科学 2026-02-18 Maximilian Eder , Clemens Lechner , Maurice Jakesch

AI alignment is about ensuring AI systems only pursue goals and activities that are beneficial to humans. Most of the current approach to AI alignment is to learn what humans value from their behavioural data. This paper proposes a…

Mental models play an important role in whether user interaction with intelligent systems, such as dialog systems is successful or not. Adaptive dialog systems present the opportunity to align a dialog agent's behavior with heterogeneous…

计算与语言 · 计算机科学 2024-08-27 Lindsey Vanderlyn , Dirk Väth , Ngoc Thang Vu

Multi-agent systems - systems with multiple independent AI agents working together to achieve a common goal - are becoming increasingly prevalent in daily life. Drawing inspiration from the phenomenon of human group social influence, we…

人工智能 · 计算机科学 2025-09-25 Tianqi Song , Yugin Tan , Zicheng Zhu , Yibin Feng , Yi-Chieh Lee

Scientists and philosophers have debated whether humans can trust advanced artificial intelligence (AI) agents to respect humanity's best interests. Yet what about the reverse? Will advanced AI agents trust humans? Gauging an AI agent's…

人工智能 · 计算机科学 2022-12-29 Tim Johnson , Nick Obradovich

Persuasion, as one of the crucial abilities in human communication, has garnered extensive attention from researchers within the field of intelligent dialogue systems. We humans tend to persuade others to change their viewpoints, attitudes…

计算与语言 · 计算机科学 2024-02-08 Mengqi Chen , Bin Guo , Hao Wang , Haoyu Li , Qian Zhao , Jingqi Liu , Yasan Ding , Yan Pan , Zhiwen Yu

We conducted an International AI Negotiation Competition in which participants designed and refined prompts for AI negotiation agents. We then facilitated over 180,000 negotiations between these agents across multiple scenarios with diverse…

人工智能 · 计算机科学 2026-01-15 Michelle Vaccaro , Michael Caosun , Harang Ju , Sinan Aral , Jared R. Curhan
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