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相关论文: Persuasion for Good: Towards a Personalized Persua…

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Current approaches to developing persuasive dialogue agents often rely on a limited set of predefined persuasive strategies that fail to capture the complexity of real-world interactions. We applied a cross-disciplinary approach to develop…

计算与语言 · 计算机科学 2026-02-27 Shinnosuke Nozue , Yuto Nakano , Yotaro Watanabe , Meguru Takasaki , Shoji Moriya , Reina Akama , Jun Suzuki

Persuasion is an important and yet complex aspect of human intelligence. When undertaken through dialogue, the deployment of good arguments, and therefore counterarguments, clearly has a significant effect on the ability to be successful in…

人工智能 · 计算机科学 2021-01-29 Emmanuel Hadoux , Anthony Hunter , Sylwia Polberg

Which persuasion strategies, if any, are associated with donation compliance? Answering this requires fine-grained strategy labels across a full corpus and statistical tests corrected for multiple comparisons. We annotate all 10,600…

计算与语言 · 计算机科学 2026-04-23 Tatiana Petrova , Stanislav Sokol , Radu State

Intelligent conversational agents, or chatbots, can take on various identities and are increasingly engaging in more human-centered conversations with persuasive goals. However, little is known about how identities and inquiry strategies…

人机交互 · 计算机科学 2020-01-22 Weiyan Shi , Xuewei Wang , Yoo Jung Oh , Jingwen Zhang , Saurav Sahay , Zhou Yu

In recommendation dialogs, humans commonly disclose their preference and make recommendations in a friendly manner. However, this is a challenge when developing a sociable recommendation dialog system, due to the lack of dialog dataset…

计算与语言 · 计算机科学 2020-10-09 Shirley Anugrah Hayati , Dongyeop Kang , Qingxiaoyang Zhu , Weiyan Shi , Zhou Yu

Dialogue systems capable of social influence such as persuasion, negotiation, and therapy, are essential for extending the use of technology to numerous realistic scenarios. However, existing research primarily focuses on either…

计算与语言 · 计算机科学 2023-01-26 Kushal Chawla , Weiyan Shi , Jingwen Zhang , Gale Lucas , Zhou Yu , Jonathan Gratch

Large Language Models (LLMs) are increasingly regarded as having the potential to generate persuasive content at scale. While previous studies have focused on the risks associated with LLM-generated misinformation, the role of LLMs in…

计算机与社会 · 计算机科学 2026-04-06 John Caffier , Olga Stavrova , Bennett Kleinberg

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

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…

计算与语言 · 计算机科学 2026-04-22 Sander Noels , Alexander Rogiers , Maarten Buyl , Tijl De Bie

Effective persuasive dialogue agents adapt their strategies to individual users, accounting for the evolution of their psychological states and intentions throughout conversations. We present a personality-aware reinforcement learning…

人机交互 · 计算机科学 2026-01-13 Donghuo Zeng , Roberto Legaspi , Kazushi Ikeda

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…

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…

人机交互 · 计算机科学 2026-04-28 Nalin Poungpeth , Nicholas Clark , Tanu Mitra

Persuading people to change their opinions is a common practice in online discussion forums on topics ranging from political campaigns to relationship consultation. Enhancing people's ability to write persuasive arguments could not only…

人机交互 · 计算机科学 2022-11-15 Meng Xia , Qian Zhu , Xingbo Wang , Fei Nie , Huamin Qu , Xiaojuan Ma

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

Current works in the generation of personalized dialogue primarily contribute to the agent presenting a consistent personality and driving a more informative response. However, we found that the generated responses from most previous models…

计算与语言 · 计算机科学 2022-08-23 Itsugun Cho , Dongyang Wang , Ryota Takahashi , Hiroaki Saito

Proactive dialogue systems, related to a wide range of real-world conversational applications, equip the conversational agent with the capability of leading the conversation direction towards achieving pre-defined targets or fulfilling…

计算与语言 · 计算机科学 2023-05-10 Yang Deng , Wenqiang Lei , Wai Lam , Tat-Seng Chua

Enhancing user engagement through personalization in conversational agents has gained significance, especially with the advent of large language models that generate fluent responses. Personalized dialogue generation, however, is…

计算与语言 · 计算机科学 2024-07-30 Yi-Pei Chen , Noriki Nishida , Hideki Nakayama , Yuji Matsumoto

Detecting persuasion in argumentative text is a challenging task with important implications for understanding human communication. This work investigates the role of persuasion strategies - such as Attack on reputation, Distraction, and…

计算与语言 · 计算机科学 2026-01-16 Tiziano Labruna , Arkadiusz Modzelewski , Giorgio Satta , Giovanni Da San Martino

Personalizing dialogue agents is important for dialogue systems to generate more specific, consistent, and engaging responses. However, most current dialogue personalization approaches rely on explicit persona descriptions during inference,…

计算与语言 · 计算机科学 2021-12-01 Wangchunshu Zhou , Qifei Li , Chenle Li

In order to build dialogue systems to tackle the ambitious task of holding social conversations, we argue that we need a data driven approach that includes insight into human conversational chit chat, and which incorporates different…

计算与语言 · 计算机科学 2017-09-12 Kevin K. Bowden , Shereen Oraby , Amita Misra , Jiaqi Wu , Stephanie Lukin
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