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As chatbots are becoming increasingly popular, we often wonder what users perceive as natural and socially accepted manners of interacting with them. Some researchers maintain that humans should avoid engaging in emotional conversations…

人机交互 · 计算机科学 2020-09-18 Ekaterina Svikhnushina , Pearl Pu

Emojis have become ubiquitous in digital communication, due to their visual appeal as well as their ability to vividly convey human emotion, among other factors. The growing prominence of emojis in social media and other instant messaging…

计算与语言 · 计算机科学 2021-01-05 Abu Awal Md Shoeb , Gerard de Melo

Multimodal sentiment analysis, a pivotal task in affective computing, seeks to understand human emotions by integrating cues from language, audio, and visual signals. While many recent approaches leverage complex attention mechanisms and…

计算与语言 · 计算机科学 2025-05-09 Nischal Mandal , Yang Li

Feeling emotion is a critical characteristic to distinguish people from machines. Among all the multi-modal resources for emotion detection, textual datasets are those containing the least additional information in addition to semantics,…

计算与语言 · 计算机科学 2018-05-31 Sheng-Yeh Chen , Chao-Chun Hsu , Chuan-Chun Kuo , Ting-Hao , Huang , Lun-Wei Ku

Existing user simulators (USs) for task-oriented dialogue systems only model user behaviour on semantic and natural language levels without considering the user persona and emotions. Optimising dialogue systems with generic user policies,…

With the prevalence of instant messaging and social media platforms, emojis have become important artifacts for expressing emotions and feelings in our daily lives. We ask how HCI researchers have examined the role and evolution of emojis…

人机交互 · 计算机科学 2024-09-27 Charles Chiang , Diego Gomez-Zara

Inter-personal touch is a powerful aspect of social interaction that we expect to be particularly important for emotional communication. We studied the capacity of closely acquainted humans to signal the meaning of several word cues (e.g.…

We present Empathic Prompting, a novel framework for multimodal human-AI interaction that enriches Large Language Model (LLM) conversations with implicit non-verbal context. The system integrates a commercial facial expression recognition…

In an era where user interaction with technology is ubiquitous, the importance of user interface (UI) design cannot be overstated. A well-designed UI not only enhances usability but also fosters more natural, intuitive, and emotionally…

人机交互 · 计算机科学 2024-11-12 Shiyu Duan , Ziyi Wang , Shixiao Wang , Mengmeng Chen , Runsheng Zhang

Emotion recognition technology has been studied from the past decade. With its growing importance and applications such as customer service, medical, education, etc., this research study aims to explore its potential and importance in the…

人机交互 · 计算机科学 2025-03-31 Simran Kaur Ghatoray , Yongmin Li

Conversational agents (CAs) are increasingly embedded in daily life, yet their ability to navigate user emotions efficiently is still evolving. This study investigates how users with varying traits -- gender, personality, and cultural…

人机交互 · 计算机科学 2025-11-11 Yuchong Zhang , Yong Ma , Di Fu , Stephanie Zubicueta Portales , Morten Fjeld , Danica Kragic

We present an overview of the EmotionX 2019 Challenge, held at the 7th International Workshop on Natural Language Processing for Social Media (SocialNLP), in conjunction with IJCAI 2019. The challenge entailed predicting emotions in spoken…

计算与语言 · 计算机科学 2019-09-19 Boaz Shmueli , Lun-Wei Ku

Opportunistic affect sensing offers unprecedented potential for capturing spontaneous affect ubiquitously, obviating biases inherent in the laboratory setting. Facial expression and voice are two major affective displays, however most…

人机交互 · 计算机科学 2022-02-09 Rajib Rana , Margee Hume , John Reilly , Raja Jurdak , Jeffrey Soar

Mobile messaging apps offer an increasing range of emotional expressions, such as emojis to help users manually augment their texting experiences. Accessibility of such augmentations is limited in voice messaging. With the term "speejis" we…

人机交互 · 计算机科学 2025-02-11 Ilhan Aslan , Carla F. Griggio , Henning Pohl , Timothy Merritt , Niels van Berkel

Due to increasing sensing capacity, smartphones offer unprecedented opportunity to monitor human health. Affect sensing is one such essential monitoring that can be achieved on smartphones. Information about affect can be useful for many…

计算机与社会 · 计算机科学 2015-06-19 Rajib Rana , John Reilly , Raja Jurdak , Wen Hu , Xue Li , Jeffrey Soar

Recent advances in machine learning have led to computer systems that are human-like in behaviour. Sentiment analysis, the automatic determination of emotions in text, is allowing us to capitalize on substantial previously unattainable…

计算与语言 · 计算机科学 2021-01-15 Saif M. Mohammad

Effective feature representations play a critical role in enhancing the performance of text generation models that rely on deep neural networks. However, current approaches suffer from several drawbacks, such as the inability to capture the…

计算与语言 · 计算机科学 2024-02-27 Omama Hamad , Ali Hamdi , Khaled Shaban

Empathy is a vital factor that contributes to mutual understanding, and joint problem-solving. In recent years, a growing number of studies have recognized the benefits of empathy and started to incorporate empathy in conversational…

计算与语言 · 计算机科学 2023-10-13 Aravind Sesagiri Raamkumar , Yinping Yang

Evaluating Large Language Models' (LLMs) anthropomorphic capabilities has become increasingly important in contemporary discourse. Utilizing the emotion appraisal theory from psychology, we propose to evaluate the empathy ability of LLMs,…

计算与语言 · 计算机科学 2024-10-08 Jen-tse Huang , Man Ho Lam , Eric John Li , Shujie Ren , Wenxuan Wang , Wenxiang Jiao , Zhaopeng Tu , Michael R. Lyu

Emotion is well-recognized as a distinguished symbol of human beings, and it plays a crucial role in our daily lives. Existing vision-based or sensor-based solutions are either obstructive to use or rely on specialized hardware, hindering…

人机交互 · 计算机科学 2019-08-28 Yu Gu , Yantong Wang , Tao Liu , Yusheng Ji , Zhi Liu , Peng Li , Xiaoyan Wang , Xin An , Fuji Ren