Affective Computing

Affective Modeling for an Intelligent Educational Environment

Hernández, Y., Sucar, L. E., & Figueroa, G. (2012) · Smart innovation, systems and technologies · doi:10.1007/978-3-642-30171-1_1 · Cited by 13

Collective Intelligence and Algorithmic Governance of Socio-Technical Systems

Pitt, J. V., Busquets, D., Bourazeri, A., & Petruzzi, P. E. (2014) · Springer eBooks · doi:10.1007/978-3-319-08681-1_2 · Cited by 13

Affective States in CSCL Environments: A Systematic Mapping of the Literature

Reis, R. C. D., Rodriguez, C. L., Lyra, K. T., Jaques, P. A., Bittencourt, I. I., & Isotani, S. (2015) · IEEE International Conference on Advanced Learning Technologies (ICALT) · doi:10.1109/icalt.2015.95 · Cited by 13

Enhancing User Engagement in Immersive Games through Multisensory Cues

Kruijff, E., Marquardt, A., Trepkowski, C., Schild, J., & Hinkenjann, A. (2015) · International Conference on Games and Virtual Worlds for Serious Applications · doi:10.1109/vs-games.2015.7295773 · Cited by 13

Human-computer coupling

Picard, R. W. (1998) · Proceedings of the IEEE · doi:10.1109/5.704286 · Cited by 13

Detecting emotion model in e-learning system

Chen, G.-S., & Lee, M.-F. (2012) · International Conference on Machine Learning and Cybernetics · doi:10.1109/icmlc.2012.6359628 · Cited by 13

Combination of Multiple Classifiers for Improving Emotion Recognition in Mandarin Speech

Pao, T.-L., Chien, C. S., Chen, Y.-T., Yeh, J.-H., Cheng, Y.-M., & Liao, W.-Y. (2007) · International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP) · doi:10.1109/iihmsp.2007.4457487 · Cited by 13

Emotional Intensity Evaluation Method Based on Galvanic Skin Response Signal

Liu, F., Liu, G.-Y., & Lai, X.-W. (2014) · 2014 Seventh International Symposium on Computational Intelligence and Design · doi:10.1109/iscid.2014.145 · Cited by 18

Applying affective feedback to reinforcement learning in ZOEI, a comic humanoid robot

Addo, I. D., & Ahamed, S. I. (2014) · IEEE RO-MAN · doi:10.1109/roman.2014.6926289 · Cited by 13

Simulating emotional personality in human computer interfaces

van der Heide, A., & Triviño, G. (2010) · IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) · doi:10.1109/fuzzy.2010.5583943 · Cited by 13

An Adaptive User-Interface Based on User's Emotion

Dalvand, K., & Kazemifard, M. (2012) · International Conference on Computer and Knowledge Engineering · doi:10.1109/iccke.2012.6395371 · Cited by 13

3D Talking-Head Mobile App: A Conceptual Framework for English Pronunciation Learning among Non-Native Speakers

Ali, A. Z. M., & Segaran, K. (2013) · English Language Teaching · doi:10.5539/elt.v6n8p66 · Cited by 15

Modeling Social Causality and Responsibility Judgment in Multi-Agent Interactions

Mao, W., & Gratch, J. S. (2012) · Journal of Artificial Intelligence Research · doi:10.1613/jair.3526 · Cited by 13

Mood-enhancing technology

Wadley, G. (2016) · Australian Conference on Computer-Human Interaction (OzCHI) · doi:10.1145/3010915.3010954 · Cited by 13

A Probabilistic Formalization of the Appraisal for the OCC Event-Based Emotions

Gluz, J. C., & Jaques, P. A. (2017) · Journal of Artificial Intelligence Research · doi:10.1613/jair.5320 · Cited by 13

EEG-Based Emotion Recognition Using a Wrapper-Based Feature Selection Method

AbdelAal, M. A., Alsawy, A. A., & Hefny, H. A. (2017) · Advances in intelligent systems and computing · doi:10.1007/978-3-319-64861-3_23 · Cited by 13

Attention Decrease Detection Based on Video Analysis in E-Learning

Wang, L. (2018) · Lecture notes in computer science · doi:10.1007/978-3-662-56689-3_14 · Cited by 14

Audio-Visual Emotion Recognition Based on Facial Expression and Affective Speech

Zhang, S., Li, L., & Zhao, Z. (2012) · Communications in computer and information science · doi:10.1007/978-3-642-35286-7_7 · Cited by 13

Affective effects of gamification

Korn, O., & Rees, A. (2019) · International Conference on PErvasive Technologies Related to Assistive Environments (PETRA) · doi:10.1145/3316782.3316783 · Cited by 13

Emotional Design and Human-Robot Interaction

Saraiva, M., Ayanoğlu, H., & Özcan, B. (2019) · Human-computer interaction series · doi:10.1007/978-3-319-96722-6_8 · Cited by 13

Human Action Recognition and Assessment Via Deep Neural Network Self-Organization

Parisi, G. I. (2020) · Springer eBooks · doi:10.1007/978-3-030-46732-6_10 · Cited by 13

Inferring Intentions from Emotion Expressions in Social Decision Making

Gratch, J. S., & de Melo, C. M. (2019) · Springer eBooks · doi:10.1007/978-3-030-32968-6_8 · Cited by 13

HeartBees: Visualizing Crowd Affects

Qin, C. Y., Constantinides, M., Aiello, L. M., & Quercia, D. (2020) · IEEE VIS Arts Program (VISAP) · doi:10.1109/visap51628.2020.00007 · Cited by 13

A fusion model for multi-label emotion classification based on BERT and topic clustering

Ding, F., Kang, X., Nishide, S., Guan, Z., & Ren, F. (2020) · International Symposium on Artificial Intelligence and Robotics (ISAIR) · doi:10.1117/12.2579255 · Cited by 13

Affect-Learn: An IoT-based Affective Learning Framework for Special Education

Yadav, G., Sundaravadivel, P., & Kesavan, L. (2020) · IEEE World Forum on Internet of Things (WF-IoT) · doi:10.1109/wf-iot48130.2020.9221339 · Cited by 13

Emotions-aware Digital Twins For Manufacturing

Florea, A., Lobov, A., & Lanz, M. (2020) · Procedia Manufacturing · doi:10.1016/j.promfg.2020.10.085 · Cited by 13

If A.I. Only Had a Heart: Why Artificial Intelligence Research Needs to Take Emotions More Seriously

Merriam, G. (2021) · Journal of Artificial Intelligence and Consciousness · doi:10.1142/s2705078521500120 · Cited by 13

A Model of Motivation for Virtual-Worlds Avatars

Rebolledo‐Mendez, G., Burden, D. J. H., & de Freitas, S. (2008) · Lecture notes in computer science · doi:10.1007/978-3-540-85483-8_76 · Cited by 13

Artificial emotional model based on finite state machine

Meng, Q., & Wu, W. (2008) · Journal of Central South University of Technology · doi:10.1007/s11771-008-0129-1 · Cited by 13

Scenarios for Companions

Benyon, D., & Mival, O. (2013) · Lecture notes in computer science · doi:10.1007/978-3-642-37346-6_8 · Cited by 13

Towards Predictive Modelling of Student Affect from Web-Based Interactions

Mavrikis, M., Maciocia, A., & Lee, J. R. (2007) · UCL Discovery (University College London) · Cited by 13

Detecting Emotions in Conversations Between Driver and In-Car Information Systems

Jones, C. M., & Jonsson, I.-M. (2005) · Lecture notes in computer science · doi:10.1007/11573548_100 · Cited by 13

Modeling the Dynamics of Non-Player Characters' Social Relations in Video Games

Ochs, M., Sabouret, N., & Corruble, V. (2008) · HAL · Cited by 14

Experiencing affective interactive art

Bialoskorski, L. S. S., Westerink, J. H. D. M., & van den Broek, E. L. (2010) · International Journal of Arts and Technology · doi:10.1504/ijart.2010.035826 · Cited by 13

Ensemble majority voting classifier for speech emotion recognition and prediction

Anagnostopoulos, T., & Skourlas, C. (2014) · Journal of Systems and Information Technology · doi:10.1108/jsit-01-2014-0009 · Cited by 13

Emotional facial sensing and multimodal fusion in a continuous 2D affective space

Cerezo, E., Hupont, I., Baldassarri, S., & Ballano, S. (2011) · Journal of Ambient Intelligence and Humanized Computing · doi:10.1007/s12652-011-0087-6 · Cited by 13

SMART USER MODELS FOR TOURISM: A HOLISTIC APPROACH FOR PERSONALIAED TOURISM SERVICES

GONZÁLEZ, G., López, B., & de la Rosa, J. L. (2003) · Information Technology & Tourism · doi:10.3727/1098305032781148 · Cited by 13

Affect, Attitude and Evaluation of Multisensory Performances

Lindström, E., Camurri, A., Friberg, A., Volpe, G., & Rinman, M.-L. (2005) · Journal of New Music Research · doi:10.1080/09298210500124000 · Cited by 13

Predicting the Learner's Emotional Reaction towards the Tutor's Intervention

Chaffar, S., Cepeda, G., & Frasson, C. (2007) · IEEE International Conference on Advanced Learning Technologies (ICALT) · doi:10.1109/icalt.2007.206 · Cited by 13

Manifolds Based Emotion Recognition in Speech

You, M., Chen, C., Bu, J., Liu, J., & Tao, J. (2007) · Cited by 13

EMOTAG: AN APPROACH TO AUTOMATED MARKUP OF EMOTIONS IN TEXTS

Francisco, V., & Gervás, P. (2012) · Computational Intelligence · doi:10.1111/j.1467-8640.2012.00438.x · Cited by 13

The Effect of Shared Information on Pilot/Controller and Controller/Controller Interactions

Hansman, R. J. (2001) · Transportation analysis · doi:10.1007/978-3-662-04632-6_9 · Cited by 13

Towards Relating Physiological Signals to Usability Metrics: A Case Study with a Web Avatar

Foglia, P., & Zanda, M. (2014) · CINECA IRIS Institutial research information system (University of Pisa) · Cited by 13

Computational Analytical Framework for Affective Modeling

Hudlická, E. (2015) · Advances in computational intelligence and robotics book series · doi:10.4018/978-1-4666-7278-9.ch001 · Cited by 13

A Computational Model of Social Signaling

Pentland, A. (2006) · Cited by 13

Emotion Recognition in Intelligent Tutoring Systems for Android-Based Mobile Devices

Zataraín-Cabada, R., Estrada, M. L. B., Alor-Hernández, G., & Reyes-García, C. A. (2014) · Mexican International Conference on Artificial Intelligence · doi:10.1007/978-3-319-13647-9_44 · Cited by 14

Optimised attribute selection for emotion classification using physiological signals

Leon, E., Clarke, G., Sepulveda, F., & Callaghan, V. (2005) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2004.1403122 · Cited by 13

User states, user strategies, and system performance: how to match the one with the other

Batliner, A. M. (2003) · OPUS (Augsburg University) · Cited by 13

A real-time Cantonese text-to-audiovisual speech synthesizer

Wang, J., Wong, K. H., Heng, P., Meng, H. M. L., & Wong, T. (2004) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp.2004.1326070 · Cited by 13

Virtual television channels

Chorianopoulos, K. (2004) · doi:10.12681/eadd/17648 · Cited by 13

Affective collaborative robots for safety & crisis management in the field

Looije, R., Neerincx, M. A., & Kruijff, G.-J. (2007) · TNO Repository · Cited by 13

Adaptive wake and sleep detection for wearable systems

Karlen, W. (2009) · reroDoc Digital Library · doi:10.5075/epfl-thesis-4391 · Cited by 13

Interactivity and emotion through cinematography

Tomlinson, W. M. (1999) · DSpace@MIT (Massachusetts Institute of Technology) · Cited by 13

Multimodal Affect Recognition using KinectPreprint

Patwardhan, A. S., & Knapp, G. (2016) · arXiv.org · doi:10.48550/arxiv.1607.02652 · Cited by 23

Sticking with Affect in HCI and Design: from Interaction to Relation

Fritsch, J. (2025) · Decennial Aarhus Conference · doi:10.1145/3744169.3744174 · Cited by 12

Evolving an emotion recognition module for an intelligent agent using genetic programming and a genetic algorithm

Yusuf, R., Sharma, D. G., Tanev, I., & Shimohara, K. (2016) · Artificial Life and Robotics · doi:10.1007/s10015-016-0263-z · Cited by 12

Defining Character Computing from the Perspective of Computer Science and Psychology

Bolock, A. E. (2018) · International Conference on Mobile and Ubiquitous Multimedia (MUM) · doi:10.1145/3282894.3289721 · Cited by 12

Soma-Wearable Design: Integrating Somaesthetic Practice and Fashion Design for Somatic Wellbeing

Jung, H., & Ståhl, A. (2018) · Proceedings of DRS · doi:10.21606/drs.2018.646 · Cited by 12

Toward a History of Digital Music: New Technologies, Business Practices and Intellectual Property Regimes

Scherzinger, M. R. (2019) · Cambridge University Press eBooks · doi:10.1017/9781316676639.004 · Cited by 12

Opacity, Transparency, and the Ethics of Affective Computing

Kumar, M., Aijaz, A., Chattar, O., Shukla, J., & Mutharaju, R. (2023) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2023.3278230 · Cited by 13

Emotion Recognition from Multimodal Data: a machine learning approach combining classical and hybrid deep architectures

de Santana, M. A., Fonseca, F. S., Torcate, A. S., & dos Santos, W. P. (2023) · Research on Biomedical Engineering · doi:10.1007/s42600-023-00293-9 · Cited by 15

Philosophical Lessons for Emotion Recognition Technology

Waelen, R. A. (2024) · Minds and Machines · doi:10.1007/s11023-024-09671-3 · Cited by 15

Learning Multiband-Temporal-Spatial EEG Representations of Emotions Using Lightweight Temporal Convolution and 3D Convolutional Neural Network

Wu, F., Liu, J., Yang, J., Zhang, L., He, Y., & Lin, Z. (2024) · IEEE Access · doi:10.1109/access.2024.3460393 · Cited by 12

Contextual Emotion Recognition using Large Vision Language Models

Etesam, Y., Yalçın, Ö. N., Zhang, C., & Lim, A. (2024) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros58592.2024.10802538 · Cited by 23

A Unified Model for Haptic Experience

Dalsgaard, T.-S., & Schneider, O. (2025) · ACM Transactions on Computer-Human Interaction · doi:10.1145/3711842 · Cited by 19

A Selective Weighted Late Fusion for Visual Concept Recognition

Liu, N., Dellandréa, E., Zhu, C., Bichot, C., & Chen, L. (2012) · Lecture notes in computer science · doi:10.1007/978-3-642-33885-4_43 · Cited by 12

An improved user experience model with cumulative prospect theory

Zhou, F., & Jiao, J. R. (2013) · Procedia Computer Science · doi:10.1016/j.procs.2013.01.091 · Cited by 12

Developing a cognitive evaluation method for serious game engineers

Lee, S., Baik, Y., Nam, K., Ahn, J.-H., Lee, Y., Oh, S.-S., & Kim, K. (2013) · Cluster Computing · doi:10.1007/s10586-013-0289-0 · Cited by 13

Affect detection from non-stationary physiological data using ensemble classifiers

AlZoubi, O., Fossati, D., D’Mello, S. K., & Calvo, R. A. (2014) · Evolving Systems · doi:10.1007/s12530-014-9123-z · Cited by 12

Dynamic facial expression recognition using Laplacian Eigenmaps-based manifold learning

Raducanu, B., & Dornaika, F. (2010) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/robot.2010.5509290 · Cited by 12

Affective data acquisition technologies in survey research

Westland, J. C. (2011) · Information Technology and Management · doi:10.1007/s10799-011-0110-9 · Cited by 12

Describing Human Emotions Through Mathematical Modelling

Hartmann, K., Siegert, I., Glüge, S., Wendemuth, A., Kotzyba, M., & Deml, B. (2012) · IFAC Proceedings Volumes · doi:10.3182/20120215-3-at-3016.00081 · Cited by 12

Looking Back in Wonder: How Self-Monitoring Technologies Can Help Us Better Understand Ourselves

Pavel, D., Callaghan, V., & Dey, A. K. (2010) · International Conference on Intelligent Environments (IE) · doi:10.1109/ie.2010.59 · Cited by 10

A Decision-Making Process for Digital Storytelling

Barbosa, S. D. J., Furtado, A. L., & Casanova, M. A. (2010) · Brazilian Symposium on Computer Games and Digital Entertainment (SBGames) · doi:10.1109/sbgames.2010.16 · Cited by 12

Recognition of emotions by the emotional feedback through behavioral human poses

Rázuri, J. G., Larsson, A., Sundgren, D., Bonet, I., & Morán, A. (2015) · DiVA (Stockholm University) · Cited by 12

Annotating Events in an Emotion Corpus

Lee, S., Li, S., & Huang, C. (2014) · Language Resources and Evaluation Conference (LREC) · doi:10.63317/3qfe8x3vuzze · Cited by 12

Facial expression recognition using shape signature feature

Barman, A., & Dutta, P. (2017) · International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN) · doi:10.1109/icrcicn.2017.8234502 · Cited by 12

Children's conversation with experience

Gourlet, P. (2018) · ACM International Conference on Interaction Design and Children (IDC) · doi:10.1145/3202185.3202734 · Cited by 12

Co-regulation of the voice between patient and therapist in psychotherapy: machine learning for enhancing the synchronization of the experience of anger emotion : An experimental study proposal

Longobardi, T., Sperandeo, R., Albano, F., Tedesco, Y., Moretto, E., Sarno, A. D. D., DellrOrco, S., & Maldonato, N. M. (2018) · IEEE International Conference on Cognitive Infocommunications · doi:10.1109/coginfocom.2018.8639875 · Cited by 12

Prototypes of Arcade Games Enabling Affective Interaction

Jemioło, P., Giżycka, B., & Nalepa, G. J. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-20915-5_49 · Cited by 12

The OMG-Empathy Dataset: Evaluating the Impact of Affective Behavior in Storytelling

Barros, P. V. A., Churamani, N., Lim, A., & Wermter, S. (2019) · International Conference on Affective Computing and Intelligent Interaction and workshops · doi:10.1109/acii.2019.8925530 · Cited by 12

A fuzzy appraisal model for affective agents adapted to cultural environments using the pleasure and arousal dimensions

Taverner, J., Vivancos, E., & Botti, V. J. (2020) · Information Sciences · doi:10.1016/j.ins.2020.08.006 · Cited by 12

Do Affective Cues Validate Behavioural Metrics for Search?

McDuff, D., Thomas, P., Craswell, N., Rowan, K., & Czerwinski, M. P. (2021) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/3404835.3462894 · Cited by 12

What Lies Beneath—A Survey of Affective Theory Use in Computational Models of Emotion

Smith, G., & Carette, J. (2022) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2022.3197456 · Cited by 12

Emotional characteristic analysis of human gait while real-time movie viewing

Jianwattanapaisarn, N., Sumi, K., Utsumi, A., Khamsemanan, N., & Nattee, C. (2022) · Frontiers in Artificial Intelligence · doi:10.3389/frai.2022.989860 · Cited by 11

Paralinguistic Cues in Speech to Adapt Robot Behavior in Human-Robot Interaction

Ashok, A., Pawlak, J., Paplu, S. H., Zafar, Z., & Berns, K. (2022) · IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob) · doi:10.1109/biorob52689.2022.9925505 · Cited by 12

Unsupervised Domain Adaptation for Preference Learning Based Speech Emotion Recognition

Naini, A. R., Kohler, M. A., & Busso, C. (2023) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp49357.2023.10094301 · Cited by 12

Assessment of Student’s Emotions in Game-Based Learning

Novak, E., & Johnson, T. E. (2012) · Springer eBooks · doi:10.1007/978-1-4614-3546-4_19 · Cited by 12

Moodle and affective computing : knowing who´s on the other side

Rodrigues, M., Fdez‐Riverola, F., & Nováis, P. (2011) · Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) · Cited by 12

Feature Combination for Better Differentiating Anger from Neutral in Mandarin Emotional Speech

Pao, T.-L., Chen, Y.-T., Yeh, J.-H., Cheng, Y.-M., & Chien, C. S. (2007) · Lecture notes in computer science · doi:10.1007/978-3-540-74889-2_77 · Cited by 12

Towards Affect-sensitive Assistive Intervention Technologies for Children with Autism

Conn, K., Liu, C., Sarkar, N., Stone, W. L., & Warre, Z. (2008) · doi:10.5772/6171 · Cited by 12

Ambient Sensorization for the Furtherance of Sustainability

Silva, F., Analide, C., Rosa, L., Felgueiras, G., & Pimenta, C. (2013) · Advances in intelligent systems and computing · doi:10.1007/978-3-319-00566-9_23 · Cited by 12

The Panic Room: On Synthetic Emotions

Vallverdú, J., & Casacuberta, D. (2008) · Cited by 12

Mood Swings: design and evaluation of affective interactive art

Bialoskorski, L. S. S., Westerink, J. H. D. M., & van den Broek, E. L. (2009) · New Review of Hypermedia and Multimedia · doi:10.1080/13614560903131898 · Cited by 12

Reflective pervasive systems

Serbedzija, N. B., & Fairclough, S. H. (2012) · ACM Transactions on Autonomous and Adaptive Systems · doi:10.1145/2168260.2168272 · Cited by 12

Non-invasive player experience estimation from body motion and game context

Burelli, P., Triantafyllidis, G. A., & Patras, I. (2014) · IEEE Conference on Computational Intelligence and Games (CIG) · doi:10.1109/cig.2014.6932871 · Cited by 12

Detection and assistance to students who show frustration in learning of algorithms

Iepsen, E. F., Bercht, M., & Reategui, E. B. (2013) · IEEE Frontiers in Education Conference (FIE) · doi:10.1109/fie.2013.6685017 · Cited by 12

Benefits of Subliminal Feedback Loops in Human-Computer Interaction

Ritter, W. (2010) · Advances in Human-Computer Interaction · doi:10.1155/2011/346492 · Cited by 13

Affective experience modeling based on interactive synergetic dependence in big data

Xu, C., Feng, Z., & Meng, Z. (2015) · Future Generation Computer Systems · doi:10.1016/j.future.2015.02.008 · Cited by 12

Evaluating crossmodal awareness of daily-partner robot to user's behaviors with gaze and utterance detection

Yonezawa, T., Yamazoe, H., Utsumi, A., & Abe, S. (2009) · ACM International Workshop on Context-Awareness for Self-Managing Systems (CASEMANS) · doi:10.1145/1538864.1538866 · Cited by 12

Review of Affective Computing

Sloman, A. (1999) · doi:10.1609/aimag.v20i1.1448 · Cited by 44

Giving Computers Emotions-Why and How

Fulda, J. S. (1998) · ACM SIGCAS Computers and Society · doi:10.1145/308364.606115 · Cited by 1

Affect and Emotion in Human-Computer Interaction

Hutchison, D., Weikum, G., Vardi, M. Y., Tygar, D., Terzopoulos, D., Sudan, M., Steffen, B., Peter, C., Pandu Rangan, C., Nierstrasz, O., et al. (2008) · Lecture notes in computer science · doi:10.1007/978-3-540-85099-1 · Cited by 186

Emotion‐Oriented Systems

(2013) · Wiley eBooks · doi:10.1002/9781118601938 · Cited by 10

“Affective Computing” Is Not an Oxymoron

Picard, R. W., & Plasencia, A. (2017) · The MIT Press eBooks · doi:10.7551/mitpress/9780262036016.003.0023