20 papers · ranked by Valyu relevance
Diego Resende Faria, Amie Louise Godkin, Pedro Paulo da Silva Ayrosa, Wataru Sato
'Wataru Sato'] This paper investigates the integration of affective computing techniques using biophysical data to advance emotionally aware machines and enhance child-robot interaction (CRI). By leveraging interdisciplinary insights from neuroscience, psychology, and artificial intelligence, the study focuses on…
Erin Smith, Eric A. Storch, Ipsit Vahia, Stephen T. C. Wong + 3 more
Affective computing (also referred to as artificial emotion intelligence or emotion AI) is the study and development of systems and devices that can recognize, interpret, process, and simulate emotion or other affective phenomena. With the rapid growth in the aging population around the world, affective computing has…
Changzeng Fu
Licensed under the Creative Commons Attribution-NonCommercial 4.0 Unported License (the "License"). You may not use this file except in compliance with the License. You may obtain a copy of the License at http://creativecommons.org/licenses/ by-nc/4.0. Unless required by applicable law or agreed to in writing, software…
María del Pilar Beristain-Colorado, Patricia Batres-Mendoza, Erick Israel Guerra-Hernández, José Luis Cano-Pérez + 5 more
Background Serious games have become an alternative support for traditional physical therapy. However, many of these games do not address the emotional needs of patients. People with disabilities often experience emotions such as sadness, frustration, and even anger, which can create a barrier to their rehabilitation…
Michelle Schlicher, Yupei Li, Sunil Munthumoduku Krishna Murthy, Qiyang Sun + 1 more
Digital mental health interventions (DMHIs) have become increasingly prominent as scalable solutions to address global mental health needs. However, many existing tools lack the emotional sensitivity required to foster meaningful engagement and therapeutic effectiveness. Affective computing, a field focused on…
Sitara Afzal, H.A. Khan, Imran Khan, Md. Jalil Piran + 1 more
—As the name suggests, affective computing aims to recognize human emotions, sentiments, and feelings. There is a wide range of fields that study affective computing, including languages, sociology, psychology, computer science, and physiology. However, no research has ever been done to determine how machine learning…
Yin, Bin, Liu, Chong-Yi + 4 more
— Affective computing has advanced significantly over the past two decades, achieving remarkable progress in emotion recognition and generation. However, current approaches remain largely focused on short-term pattern recognition, lacking a comprehensive theoretical framework to guide affective agents in aligning with…
Jingjing Chen, Xiaobin Wang, Chen Huang, Xin Hu + 2 more
'Dan Zhang'] Affective computing based on electroencephalogram (EEG) has gained increasing attention for its objectivity in measuring emotional states. While positive emotions play a crucial role in various real-world applications, such as human-computer interactions, the state-of-the-art EEG datasets have primarily…
Wenna Lai, Haoran Xie, Guandong Xu, Qing Li + 1 more
—Affective Computing (AC) is essential in bridging the gap between human emotional experiences and machine understanding. Traditionally, AC tasks in natural language processing (NLP) have been approached through pipeline architectures, which often suffer from structure rigidity that leads to inefficiencies and limited…
Karishma Hegde, Hemadri Jayalath
—In a world where technology is increasingly embedded in our everyday experiences, systems that sense and respond to human emotions are elevating digital interaction. At the intersection of artificial intelligence and human-computer interaction, affective computing is emerging with innovative solutions where machines…
Jan K. Argasinski
Affect-adaptive systems increasingly act as communicators that sense a user's emotion and respond with events meant to change it, closing an affective loop. This vision assumes both that a machine's affective messages are received and that the bodily channel it monitors carries an intelligible reply-assumptions rarely…
Arvid Kappas, Jonathan Gratch
AI research focused on interactions with humans, particularly in the form of robots or virtual agents, has expanded in the last two decades to include concepts related to affective processes. Affective computing is an emerging field that deals with issues such as how the diagnosis of affective states of users can be…
Suketu C. Patel, Jin Fan
The assertion that artificial intelligence (AI) cannot grasp the subtleties and complexities of human emotions has been a long-standing debate in AI research. However, recent advancements, particularly in large language models (LLMs), have begun challenging this notion by demonstrating an increased capacity for…
Leena Mathur, Maja J. Matarić, Louis‐Philippe Morency
In recent decades, the field of affective computing has made substantial progress in advancing the ability of AI systems to recognize and express affective phenomena, such as affect and emotions, during human-human and human-machine interactions. This paper describes our examination of research at the intersection of…
Jayson Jeganathan, Megan Campbell, Matthew Hyett, Gordon Parker + 1 more
Facial affect is expressed dynamically – a giggle, grimace, or an agitated frown. However, the characterization of human affect has relied almost exclusively on static images. This approach cannot capture the nuances of human communication or support the naturalistic assessment of affective disorders. Using the latest…
Iwon Yang, Chaery Park, Jongwan Kim
Emotions are dynamic experiences that unfold over time, yet most affective neuroscience studies have relied on static stimuli and laboratory-based EEG systems. This study examined whether emotional valence and arousal can be reliably decoded using a consumer-grade wearable EEG device in naturalistic contexts.…
Karina Nazare, Miralena I. Tomescu
We spend a significant part of our lives navigating emotionally charged mind-wandering states by spontaneously imagining the past or the future, which predicts general well-being. We investigated brain self-generated affective states using EEG microstate analysis to identify the temporal dynamics of underlying brain…
Bruno Cesar Burin Maracia, Thales Rezende Souza, Gabriela Silva Oliveira, Júlia Beatriz Palma Nunes + 7 more
Dance is a core form of human-environment interaction and a powerful medium for emotional expression, yet dancers are routinely exposed to environmental affective cues that may shape their movement. We tested whether a negative emotional context induced immediately before improvisation alters dance biomechanics. Twenty…
Jan F Weis, Sören Krach, Frieder M Paulus, David S Stolz
Successes and failures shape affective experience and self-esteem. Self-compassion has been proposed as a protective factor, allowing individuals to acknowledge both strengths and shortcomings without excessive self-criticism. However, the mechanisms through which self-compassion influences changes in affect and…
Ruth Judson, Jay Louise Davies, Josie Briscoe, Hélio Clemente Cuve
Emotions often occur within social interactions where affective cues are partly accessible or inferable by others. This raises questions regarding how and to which degree social context modulates subjective, physiological and behavioural affective responses, as well as their coherence, questions which remain points of…