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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

Persuasive dialogue generation plays a vital role in decision-making, negotiation, counseling, and behavior change, yet it remains a challenging problem. In complex persuasion where the persuadee's internal states are not expressed clearly,…

计算与语言 · 计算机科学 2026-05-19 Dingyi Zhang , Ziqing Zhuang , Linhai Zhang , Ziyang Gao , Deyu Zhou

Generative AI systems are transforming content creation, but their usability remains a key challenge. This paper examines usability factors such as user experience, transparency, control, and cognitive load. Common challenges include…

人机交互 · 计算机科学 2025-02-26 Anna Ravera , Cristina Gena

In Bayesian persuasion, an informed sender strategically discloses information to a receiver so as to persuade them to undertake desirable actions. Recently, a growing attention has been devoted to settings in which sender and receivers…

计算机科学与博弈论 · 计算机科学 2024-03-07 Francesco Bacchiocchi , Francesco Emanuele Stradi , Matteo Castiglioni , Alberto Marchesi , Nicola Gatti

Automated decision making is used routinely throughout our everyday life. Recommender systems decide which jobs, movies, or other user profiles might be interesting to us. Spell checkers help us to make good use of language. Fraud detection…

机器学习 · 计算机科学 2020-07-15 Alexander Jung , Pedro H. J. Nardelli

Personalized image generation via text prompts has great potential to improve daily life and professional work by facilitating the creation of customized visual content. The aim of image personalization is to create images based on a…

计算机视觉与模式识别 · 计算机科学 2025-03-11 Mingxiao Li , Tingyu Qu , Tinne Tuytelaars , Marie-Francine Moens

Recent development in developing humanoid robot poses new challenges to human-machine interaction communication. A major challenge is to develop robots that can behave like and interact with human in the most natural way possible. This…

机器人学 · 计算机科学 2014-12-03 Ong Sing Goh , Lance Fung

Counterspeech is a targeted response to counteract and challenge abusive or hateful content. It effectively curbs the spread of hatred and fosters constructive online communication. Previous studies have proposed different strategies for…

计算与语言 · 计算机科学 2025-01-29 Xiaoying Song , Sujana Mamidisetty , Eduardo Blanco , Lingzi Hong

How can we use generative AI to design tools that augment rather than replace human cognition? In this position paper, we review our own research on AI-assisted decision-making for lessons to learn. We observe that in both AI-assisted…

人机交互 · 计算机科学 2025-04-07 Zelun Tony Zhang , Leon Reicherts

Optimizing the phrasing of argumentative text is crucial in higher education and professional development. However, assessing whether and how the different claims in a text should be revised is a hard task, especially for novice writers. In…

计算与语言 · 计算机科学 2023-05-29 Gabriella Skitalinskaya , Henning Wachsmuth

Natural interaction with recommendation and personalized search systems has received tremendous attention in recent years. We focus on the challenge of supporting people's understanding and control of these systems and explore a…

信息检索 · 计算机科学 2022-05-20 Filip Radlinski , Krisztian Balog , Fernando Diaz , Lucas Dixon , Ben Wedin

Prompting is a mainstream paradigm for adapting large language models to specific natural language processing tasks without modifying internal parameters. Therefore, detailed supplementary knowledge needs to be integrated into external…

计算与语言 · 计算机科学 2024-12-03 Kaiyan Chang , Songcheng Xu , Chenglong Wang , Yingfeng Luo , Xiaoqian Liu , Tong Xiao , Jingbo Zhu

Writing persuasive arguments is a challenging task for both humans and machines. It entails incorporating high-level beliefs from various perspectives on the topic, along with deliberate reasoning and planning to construct a coherent…

计算与语言 · 计算机科学 2025-01-06 Zhe Hu , Hou Pong Chan , Jing Li , Yu Yin

Strategic reasoning enables agents to cooperate, communicate, and compete with other agents in diverse situations. Existing approaches to solving strategic games rely on extensive training, yielding strategies that do not generalize to new…

人工智能 · 计算机科学 2023-05-31 Kanishk Gandhi , Dorsa Sadigh , Noah D. Goodman

Data augmentation can mitigate limited training data in machine-learning automated scoring engines for constructed response items. This study seeks to determine how well three approaches to large language model prompting produce essays that…

机器学习 · 计算机科学 2026-02-09 Edward W. Wolfe , Justin O. Barber

A rapidly increasing amount of human conversation occurs online. But divisiveness and conflict can fester in text-based interactions on social media platforms, in messaging apps, and on other digital forums. Such toxicity increases…

人机交互 · 计算机科学 2023-10-24 Lisa P. Argyle , Ethan Busby , Joshua Gubler , Chris Bail , Thomas Howe , Christopher Rytting , David Wingate

Textual explanations have proved to help improve user satisfaction on machine-made recommendations. However, current mainstream solutions loosely connect the learning of explanation with the learning of recommendation: for example, they are…

信息检索 · 计算机科学 2021-01-26 Aobo Yang , Nan Wang , Hongbo Deng , Hongning Wang

AI writing tools have been shown to dramatically change the way people write, yet the effects of AI text presentation are not well understood nor always intentionally designed. Although text presentation in existing large language model…

人机交互 · 计算机科学 2025-04-30 David Zhou , John R. Gallagher , Sarah Sterman

Communication plays a major role in social systems. Effective communications, which requires transmission of the messages between individuals without disruptions or noise, can be a powerful tool to deliver intended impact. Language and…

社会与信息网络 · 计算机科学 2019-06-28 Onur Varol , Ismail Uluturk

A longstanding goal of artificial intelligence is to create artificial agents capable of learning to perform tasks that require sequential decision making. Importantly, while it is the artificial agent that learns and acts, it is still up…

人工智能 · 计算机科学 2021-07-14 Ruohan Zhang , Faraz Torabi , Garrett Warnell , Peter Stone