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相关论文: Computational Empathy Counteracts the Negative Eff…

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As artificial intelligence (AI) systems become increasingly embedded in everyday life, the ability of interactive agents to express empathy has become critical for effective human-AI interaction, particularly in emotionally sensitive…

人机交互 · 计算机科学 2025-12-24 Sung Park , Daeho Yoon , Jungmin Lee

Recent advances in neurosciences and psychology have provided evidence that affective phenomena pervade intelligence at many levels, being inseparable from the cognitionaction loop. Perception, attention, memory, learning, decisionmaking,…

人工智能 · 计算机科学 2008-09-30 Luis Paulo Reis , Daria Barteneva , Nuno Lau

Empathy is critical to successful mental health support. Empathy measurement has predominantly occurred in synchronous, face-to-face settings, and may not translate to asynchronous, text-based contexts. Because millions of people use…

计算与语言 · 计算机科学 2020-09-18 Ashish Sharma , Adam S. Miner , David C. Atkins , Tim Althoff

Artificial agents capable of understanding and aligning with others' intentions are essential for safe and socially robust artificial intelligence. We introduce a computational framework for empathy in active inference agents, grounded in…

One way to improve the relationship between humans and anthropomorphic agents is to have humans empathize with the agents. In this study, we focused on a task between an agent and a human in which the agent makes a mistake. To investigate…

人机交互 · 计算机科学 2025-04-22 Takahiro Tsumura , Seiji Yamada

The novel research area of computational empathy is in its infancy and moving towards developing methods and standards. One major problem is the lack of agreement on the evaluation of empathy in artificial interactive systems. Even though…

人工智能 · 计算机科学 2019-08-16 Özge Nilay Yalçın

With the advancements in social robotics and virtual avatars, it becomes increasingly important that these agents adapt their behavior to the mood, feelings and personality of their users. One such aspect of the user is empathy. Whereas…

人机交互 · 计算机科学 2020-03-25 Maryam Alimardani , Annabella Hermans , Angelica M. Tinga

Individual differences in personality determine our preferences, traits and values, which should similarly hold for the way we express ourselves. With current advancements and transformations of technology and society, text-based…

人工智能 · 计算机科学 2023-09-26 Atieh Kashani , Johannes Pfau , Magy Seif El-Nasr

Computational detection and understanding of empathy is an important factor in advancing human-computer interaction. Yet to date, text-based empathy prediction has the following major limitations: It underestimates the psychological…

计算与语言 · 计算机科学 2018-08-31 Sven Buechel , Anneke Buffone , Barry Slaff , Lyle Ungar , João Sedoc

Emotions are an integral part of human cognition and they guide not only our understanding of the world but also our actions within it. As such, whether we soothe or flame an emotion is not inconsequential. Recent work in conversational AI…

计算与语言 · 计算机科学 2023-07-07 Alba Curry , Amanda Cercas Curry

In this study into the player's emotional theory of mind of gameplaying agents, we investigate how an agent's behaviour and the player's own performance and emotions shape the recognition of a frustrated behaviour. We focus on the…

人工智能 · 计算机科学 2020-01-24 David Melhart , Georgios N. Yannakakis , Antonios Liapis

Cognitive empathy, the ability to understand others' perspectives, is essential for effective communication, reducing biases, and constructive negotiation. However, this skill is declining in a performance-driven society, which prioritizes…

人机交互 · 计算机科学 2026-03-18 Dehui Kong , Martin Feick , Shi Liu , Alexander Maedche

In this paper, we analyze the performance of an agent developed according to a well-accepted appraisal theory of human emotion with respect to how it modulates play in the context of a social dilemma. We ask if the agent will be capable of…

人工智能 · 计算机科学 2021-07-19 Moojan Ghafurian , Neil Budnarain , Jesse Hoey

Studying psychiatric illness has often been limited by difficulties in connecting symptoms and behavior to neurobiology. Computational psychiatry approaches promise to bridge this gap by providing formal accounts of the latent information…

Virtual and robotic agents capable of perceiving human empathy have the potential to participate in engaging and meaningful human-machine interactions that support human well-being. Prior research in computational empathy has focused on…

机器人学 · 计算机科学 2021-08-02 Leena Mathur , Micol Spitale , Hao Xi , Jieyun Li , Maja J Matarić

Empathetic conversational models have been shown to improve user satisfaction and task outcomes in numerous domains. In Psychology, persona has been shown to be highly correlated to personality, which in turn influences empathy. In…

计算与语言 · 计算机科学 2020-11-20 Peixiang Zhong , Chen Zhang , Hao Wang , Yong Liu , Chunyan Miao

A central challenge in affective computing is determining appropriate empathy levels for different interaction contexts. Prior work has characterized two poles: task-focused interactions, where empathy demand is near zero, and emotional…

人机交互 · 计算机科学 2026-05-29 Tao Wang , Chi-Ching Juan

The rise of AI conversational agents has broadened opportunities to enhance human capabilities across various domains. As these agents become more prevalent, it is crucial to investigate the impact of different affective abilities on their…

人机交互 · 计算机科学 2023-10-20 Javier Hernandez , Jina Suh , Judith Amores , Kael Rowan , Gonzalo Ramos , Mary Czerwinski

Recent studies suggest that human emotions diffuse in not only real-world communities but also online social media. More and more mechanisms beyond emotion contagion are revealed, including emotion correlations which indicate their…

社会与信息网络 · 计算机科学 2018-01-17 Rui Fan , Ke Xu , Jichang Zhao

Existing emotion-aware conversational models usually focus on controlling the response contents to align with a specific emotion class, whereas empathy is the ability to understand and concern the feelings and experience of others. Hence,…

计算与语言 · 计算机科学 2021-05-26 Yanran Li , Ke Li , Hongke Ning , xiaoqiang Xia , Yalong Guo , Chen Wei , Jianwei Cui , Bin Wang
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