Affective Computing

Do you care if a computer says sorry?

Park, S. J., MacDonald, C. M., & Khoo, M. J. (2012) · Designing Interactive Systems Conference · doi:10.1145/2317956.2318067 · Cited by 26

Emotion in Motion: A Study of Music and Affective Response

Jaimovich, J., Coghlan, N., & Knapp, R. B. (2013) · Lecture notes in computer science · doi:10.1007/978-3-642-41248-6_2 · Cited by 28

New visions of human–computer interaction: making affect compute

McNeese, M. D. (2003) · International Journal of Human-Computer Studies · doi:10.1016/s1071-5819(03)00059-4 · Cited by 26

Scaling task management in space and time: reducing user overhead in ubiquitous-computing environments

Sousa, J. P., & Garlan, D. (2005) · Cited by 26

Hunting for the holy grail with “emotionally intelligent” virtual actors

Elliott, C. (1998) · ACM SIGART Bulletin · doi:10.1145/294828.294831 · Cited by 26

Singing voice analysis/synthesis

Kim, Y. E. (2003) · DSpace@MIT (Massachusetts Institute of Technology) · Cited by 26

Quality of Knowledge in Virtual Entities

Analide, C., Nováis, P., Machado, J. M., & Neves, J. (2006) · IGI Global eBooks · doi:10.4018/978-1-59140-556-6.ch073 · Cited by 26

Metaeugenics and metaresistance: from manufacturing the ‘includeable body'to walking away from the broom closet

Williams, R. M. (2019) · Canadian Journal of Children s Rights / Revue canadienne des droits des enfants · doi:10.22215/cjcr.v6i1.1976 · Cited by 25

The Emotional Mechanisms in NARS

Wang, P., Talanov, M. O., & Hammer, P. (2016) · Lecture notes in computer science · doi:10.1007/978-3-319-41649-6_15 · Cited by 25

The Importance of Cognition and Affect for Artificially Intelligent Decision Makers

Melo, C. D., Gratch, J. S., & Carnevale, P. J. D. (2014) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v28i1.8748 · Cited by 25

Data-Driven Affective Filtering for Images and Videos

Li, T., Ni, B., Xu, M., Wang, M., Gao, Q., & Yan, S. (2015) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2015.2392156 · Cited by 25

Human emotional state recognition using real 3D visual features from Gabor library

Tie, Y., & Guan, L. (2012) · Pattern Recognition · doi:10.1016/j.patcog.2012.08.002 · Cited by 25

Feature space dimension reduction in speech emotion recognition using support vector machine

Chiou, B.-C., & Chen, C.-P. (2013) · Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) · doi:10.1109/apsipa.2013.6694251 · Cited by 25

Student's Uncertainty Modeling through a Multimodal Sensor-Based Approach

Jraidi, I., & Frasson, C. (2013) · Cited by 25

Recognition of emotions in speech by a hierarchical approach

Xiao, Z., Dellandréa, E., Chen, L., & Dou, W. (2009) · International Conference on Affective Computing and Intelligent Interaction and workshops · doi:10.1109/acii.2009.5349587 · Cited by 25

A Situation-Aware Fear Learning (SAFEL) model for robots

Rizzi, C., Johnson, C. G., Fabris, F., & Vargas, P. A. (2016) · Neurocomputing · doi:10.1016/j.neucom.2016.09.035 · Cited by 26

A Model for an Affective Non-Expensive Utility-Based Decision Agent

Esteban, P. G., & Insua, D. R. (2017) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2017.2737979 · Cited by 25

MARSSI: Model of Appraisal, Regulation, and Social Signal Interpretation

Gebhard, P., Schneeberger, T., Baur, T., & André, E. (2018) · Adaptive Agents and Multi-Agents Systems · doi:10.65109/asqc1375 · Cited by 26

EmotionX-AR: CNN-DCNN autoencoder based Emotion Classifier

Khosla, S. (2018) · International Workshop on Natural Language Processing for Social Media (SocialNLP) · doi:10.18653/v1/w18-3507 · Cited by 24

Bidirectional Associative Memory for Multimodal Fusion : a Depression Evaluation Case Study

Cholet, S., Paugam‐Moisy, H., & Regis, S. (2019) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn.2019.8852089 · Cited by 24

Opportunities and Challenges for Using Automatic Human Affect Analysis in Consumer Research

Küster, D., Krumhuber, E. G., Steinert, L., Ahuja, A., Baker, M., & Schultz, T. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.00400 · Cited by 25

MATE Robots Simplifying My Work: The Benefits and Socioethical Implications

Villani, V., Sabattini, L., Czerniak, J. N., Mertens, A., & Fantuzzi, C. (2018) · RWTH Publications (RWTH Aachen) · Cited by 25

Hierarchical Pooling in Graph Neural Networks to Enhance Classification Performance in Large Datasets

Pham, H. V., Hoang, T. D., & Moore, P. T. (2021) · Sensors · doi:10.3390/s21186070 · Cited by 25

Operationalizing the Relation Between Affect and Cognition With the Somatic Transform

MacKinnon, N. J., & Hoey, J. (2021) · Emotion Review · doi:10.1177/17540739211014946 · Cited by 26

An Efficient Approach for Audio-Visual Emotion Recognition With Missing Labels And Missing Modalities

Ma, F., Huang, S., & Zhang, L. (2021) · IEEE International Conference on Multimedia and Expo (ICME) · doi:10.1109/icme51207.2021.9428219 · Cited by 25

Attentive Cross-modal Connections for Deep Multimodal Wearable-based Emotion Recognition

Bhatti, A., Behinaein, B., Rodenburg, D., Hungler, P. C., & Etemad, A. (2021) · International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW) · doi:10.1109/aciiw52867.2021.9666360 · Cited by 25

Restorative and Afflicting Qualities of the Microspace Encounter: Psychophysiological Reactions to the Spaces of the City

Osborne, T. (2021) · Annals of the American Association of Geographers · doi:10.1080/24694452.2021.1972791 · Cited by 27

Trends in speech emotion recognition: a comprehensive survey

Kaur, K., & Singh, P. (2023) · Multimedia Tools and Applications · doi:10.1007/s11042-023-14656-y · Cited by 26

MANAGING EMOTIONS IN SMART USER MODELS FOR RECOMMENDER SYSTEMS

González, G., López, B., & de la Rosa, J. L. (2004) · International Workshop on Pattern Recognition in Information Systems (PRIS) · doi:10.5220/0002610901870194 · Cited by 25

An insight into the demands and stressors experienced by Community First Responders

Kindness, P., Fitzpatrick, D., Mellish, C., Masthoff, J., O’Meara, P., & McEwan, M. (2014) · Journal of Paramedic Practice · doi:10.12968/jpar.2014.6.7.362 · Cited by 24

A case-study of affect measurement tools for physical user interface design

Swindells, C., MacLean, K. E., Booth, K. S., & Meitner, M. J. (2006) · Cited by 25

Adaptive cognitive technical systems

Putze, F., & Schultz, T. (2014) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2014.06.029 · Cited by 28

Mandarin emotion recognition combining acoustic and emotional point information

Chen, L., Mao, X., Wei, P., Xue, Y., & Ishizuka, M. (2012) · Applied Intelligence · doi:10.1007/s10489-012-0352-1 · Cited by 25

Perception and Generation of Affective Hand Movements

Samadani, A.-A., Kubica, E. G., Gorbet, R., & Kulić, D. (2012) · International Journal of Social Robotics · doi:10.1007/s12369-012-0169-4 · Cited by 25

Interpersonal behaviors and socioemotional interaction of medical students in a virtual clinical encounter

Courteille, O., Josephson, A., & Larsson, L.-O. (2014) · BMC Medical Education · doi:10.1186/1472-6920-14-64 · Cited by 27

Hybrid affective computing—keyboard, mouse and touch screen: from review to experiment

Bakhtiyari, K., Taghavi, M., & Husain, H. (2014) · Neural Computing and Applications · doi:10.1007/s00521-014-1790-y · Cited by 26

Tag expression

Vig, J., Soukup, M., Sen, S., & Riedl, J. (2010) · ACM Symposium on User Interface Software and Technology (UIST) · doi:10.1145/1866029.1866079 · Cited by 25

Affect in designing for sustainability in human factors and ergonomics

Thatcher, A. (2012) · International Journal of Human Factors and Ergonomics · doi:10.1504/ijhfe.2012.048034 · Cited by 25

Facial and vocal emotion expression of a personal computer assistant to engage, educate and motivate children

Kessens, J. M., Neerincx, M. A., Looije, R., Kroes, M., & Bloothooft, G. (2009) · International Conference on Affective Computing and Intelligent Interaction and workshops · doi:10.1109/acii.2009.5349582 · Cited by 25

Affect detection in the real world: Recording and processing physiological signals

Healey, J. (2009) · International Conference on Affective Computing and Intelligent Interaction and workshops · doi:10.1109/acii.2009.5349496 · Cited by 25

Conductive fur sensing for a gesture-aware furry robot

Flagg, A., Tam, D., MacLean, K. E., & Flagg, R. (2012) · IEEE Haptics Symposium · doi:10.1109/haptic.2012.6183776 · Cited by 25

Simulating Pareidolia of Faces for Architectural Image Analysis

Chalup, S. K., Hong, K., & Ostwald, M. J. (2010) · Cited by 26

Observational Approaches to the Measurement of Emotions

Reisenzein, R., Junge, M., Studtmann, M., & Huber, O. (2015) · Routledge eBooks · doi:10.4324/9780203148211.ch29 · Cited by 25

Designed emotions: challenges and potential methodologies for improving multisensory cues to enhance user engagement in immersive systems

Kruijff, E., Marquardt, A., Trepkowski, C., Schild, J., & Hinkenjann, A. (2016) · The Visual Computer · doi:10.1007/s00371-016-1294-0 · Cited by 28

Calibration of Self‐Reports of Anxiety and Physiological Measures of Anxiety While Reading in Adults With and Without Reading Disability

Meer, Y., Breznitz, Z., & Katzir, T. (2016) · Dyslexia · doi:10.1002/dys.1532 · Cited by 25

Naturalistic Recognition of Activities and Mood Using Wearable Electronics

Zhu, Z. Z., Satizábal, H. F., Blanke, U., Pérez-Uribe, A., & Tröster, G. (2015) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2015.2491927 · Cited by 25

AGaR: A VR Serious Game to Support the Recovery of Post-Stroke Patients

Funabashi, A. M. M., Aranha, R. V., da Silva, T. D., Monteiro, C. B. D. M., Silva, W. S., & Nunes, F. L. S. (2017) · Symposium on Virtual and Augmented Reality (SVR) · doi:10.1109/svr.2017.15 · Cited by 25

A taxonomy and state of the art revision on affective games

Lara-Cabrera, R., & Camacho, D. (2019) · Future generations computer systems · doi:10.1016/j.future.2017.12.056 · Cited by 32

Improved TOPSIS method for peak frame selection in audio-video human emotion recognition

Singh, L., Singh, S., & Aggarwal, N. (2018) · Multimedia Tools and Applications · doi:10.1007/s11042-018-6402-x · Cited by 25

Affective keys

Exposito, M., Hernandez, J., & Picard, R. W. (2018) · International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct (MobileHCI Adjunct) · doi:10.1145/3236112.3236132 · Cited by 24

Using Temporal Features of Observers’ Physiological Measures to Distinguish Between Genuine and Fake Smiles

Hossain, M. Z., Gedeon, T., & Sankaranarayana, R. S. (2018) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2018.2878029 · Cited by 25

A Comparative Study on Detection Accuracy of Cloud-Based Emotion Recognition Services

Al-Omair, O. M., & Huang, S. (2018) · doi:10.1145/3297067.3297079 · Cited by 25

Affect Estimation in 3D Space Using Multi-Task Active Learning for Regression

Wu, D., & Huang, J. (2019) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2019.2916040 · Cited by 25

Context in Human Emotion Perception for Automatic Affect Detection: A Survey of Audiovisual Databases

Dudzik, B., Jansen, M.-P., Burger, F., Kaptein, F., Broekens, J., Heylen, D., Hung, H., Neerincx, M. A., & Truong, K. P. (2019) · International Conference on Affective Computing and Intelligent Interaction and workshops · doi:10.1109/acii.2019.8925446 · Cited by 25

The Effects of Motivational Modeling on Affect in an Intelligent Tutoring System

Rodrigo, M. M. T., Rebolledo‐Mendez, G., Baker, R. S., du Boulay, B., Sugay, J. O., Lim, S. A. L., Espejo-Lahoz, M. B., & Luckin, R. (2008) · UCL Discovery (University College London) · Cited by 25

ACT 2.0: the next generation of assistive consumer technology research

Murray, K. B., Liang, J., & Häubl, G. (2010) · Internet Research · doi:10.1108/10662241011050696 · Cited by 26

Speech Emotion Recognition Using Semantic Information

Tzirakis, P., Nguyen, A., Zafeiriou, S. P., & Schuller, B. W. (2021) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp39728.2021.9414866 · Cited by 25

An Application of Interactive Game for Facial Expression of the Autisms

Tsai, T.-W., & Lin, M.-Y. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-23456-9_37 · Cited by 26

Sound and Music Computing: Research Trends and Some Key Issues

Widmer, G., Rocchesso, D., Välimäki, V., Erkut, C., Gouyon, F., Pressnitzer, D., Penttinen, H., Polotti, P., & Volpe, G. (2007) · Journal of New Music Research · doi:10.1080/09298210701859222 · Cited by 25

Automatic speech recognition- an approach for designing inclusive games

Mustaquim, M. M. (2011) · Multimedia Tools and Applications · doi:10.1007/s11042-011-0918-7 · Cited by 27

Culture–personality based affective model

Nazir, A., Enz, S., Lim, M. Y., Aylett, R. S., & Cawsey, A. J. (2009) · AI & Society · doi:10.1007/s00146-009-0217-2 · Cited by 25

Exploring Sound-Space with Interactive Genetic Algorithms

Johnson, C. G. (2003) · Leonardo · doi:10.1162/002409403321152310 · Cited by 25

Eye movements as indices for the utility of life-like interface agents: A pilot study

Prendinger, H., Ma, C., & Ishizuka, M. (2006) · Interacting with Computers · doi:10.1016/j.intcom.2006.10.004 · Cited by 25

Rules for Responsive Robots: Using Human Interactions to Build Virtual Interactions

Cappella, J. N., & Pélachaud, C. (2002) · Cambridge University Press eBooks · doi:10.1017/cbo9780511499876.018 · Cited by 24

Beyond task completion: evaluation of affective components of use

Karat, J. (2002) · L. Erlbaum Associates Inc. eBooks · Cited by 25

Reading Hidden Emotions: Spontaneous Micro-expression Spotting and Recognition.Preprint

Li, X., Hong, X., Moilanen, A., Huang, X., Pfister, T., Zhao, G., & Pietikäinen, M. (2015) · arXiv (Cornell University) · Cited by 25

EmotionX-KU: BERT-Max based Contextual Emotion ClassifierPreprint

Yang, K., Lee, D., Whang, T., Lee, S., & Lim, H. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1906.11565 · Cited by 31

Deep Learning-Based Wearable Ear-EEG Emotion Recognition System With Superlets-Based Signal-to-Image Conversion Framework

Mai, N.-D., Nguyen, H.-T., & Chung, W.-Y. (2024) · IEEE Sensors Journal · doi:10.1109/jsen.2024.3369062 · Cited by 19

Domain adaptation for bias mitigation in affective computing: use cases for facial emotion recognition and sentiment analysis systems

Singhal, P., Gokhale, S., Shah, A., Jain, D. K., Walambe, R. A., Ekárt, A., & Kotecha, K. V. (2025) · Discover Applied Sciences · doi:10.1007/s42452-025-06659-1 · Cited by 26

Speech emotion recognition via a max-margin framework incorporating a loss function based on the Watson and Tellegen's emotion model

Yun, S., & Yoo, C. D. (2009) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp.2009.4960547 · Cited by 24

Affective multimodal mirror

Melder, W. A., Truong, K. P., den Uyl, M. J., van Leeuwen, D. A., Neerincx, M. A., Loos, L. R., & Plum, B. S. (2007) · doi:10.1145/1290128.1290134 · Cited by 24

An Approach for an Affective Educational Recommendation Model

Santos, O. C., Boticario, J. G., & Riesco, Á. M. (2014) · Springer eBooks · doi:10.1007/978-1-4939-0530-0_6 · Cited by 24

Multi-Objective Heuristic Feature Selection for Speech-Based Multilingual Emotion Recognition

Brester, C., Semenkin, E. S., & Yuryevich, S. M. (2016) · Journal of Artificial Intelligence and Soft Computing Research · doi:10.1515/jaiscr-2016-0018 · Cited by 24

Voice and Facial Expression Based Classification of Emotion Using Linear Support Vector Machine

Das, S., Halder, A., Bhowmik, P., Chakraborty, A., Konar, A., & Nagar, A. K. (2009) · International Conference on Developments in eSystems Engineering (DeSE) · doi:10.1109/dese.2009.9 · Cited by 24

Fine-Grained Emotion Detection in Contact Center Chat Utterances

Mundra, S., Sen, A., Sinha, M., Mannarswamy, S. S., Dandapat, S., & Roy, S. (2017) · Lecture notes in computer science · doi:10.1007/978-3-319-57529-2_27 · Cited by 24

Sentiment analysis using EEG activities for suicidology

Prasad, D. K., Liu, S., Chen, S. A., & Quek, C. H. (2018) · Expert Systems with Applications · doi:10.1016/j.eswa.2018.03.011 · Cited by 24

EmoLabel: Semi-Automatic Methodology for Emotion Annotation of Social Media Text

Canales, L., Daelemans, W. M. P., Boldrini, E., & Martínez-Barco, P. (2019) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2019.2927564 · Cited by 24

Records of engagement and decision making for environmental and socio-ecological challenges

Cockerill, K., Glynn, P. D., Chabay, I., Farooque, M., Hämäläinen, R. P., Miyamoto, B., & McKay, P. A. (2019) · EURO Journal on Decision Processes · doi:10.1007/s40070-019-00104-6 · Cited by 23

Non-linear frequency warping using constant-Q transformation for speech emotion recognition

Singh, P., Saha, G., & Sahidullah, M. (2021) · International Conference on Computer Communication and Informatics (ICCCI) · doi:10.1109/iccci50826.2021.9402569 · Cited by 25

Affective Voice Interaction and Artificial Intelligence: A Research Study on the Acoustic Features of Gender and the Emotional States of the PAD Model

Huang, K.-L., Duan, S., & Lyu, X. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.664925 · Cited by 28

User Expectations of Conversational Chatbots Based on Online Reviews

Svikhnushina, E., Placinta, A., & Pu, P. (2021) · Designing Interactive Systems Conference · doi:10.1145/3461778.3462125 · Cited by 24

M2R2: Missing-Modality Robust Emotion Recognition Framework With Iterative Data Augmentation

Wang, N., Cao, H., Zhao, J., Chen, R., Yan, D., & Zhang, J. (2022) · IEEE Transactions on Artificial Intelligence · doi:10.1109/tai.2022.3201809 · Cited by 24

Autism and the making of emotion AI: Disability as resource for surveillance capitalism

Nagy, J. (2022) · New Media & Society · doi:10.1177/14614448221109550 · Cited by 24

The Effect of Vehicle Automation Styles on Drivers’ Emotional State

Alsaid, A., Lee, J. D., Noejovich, S. I., & Chehade, A. (2023) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2023.3239880 · Cited by 29

Social Functions of Machine Emotional Expressions

de Melo, C. M., Gratch, J. S., Marsella, S., & Pélachaud, C. (2023) · Proceedings of the IEEE · doi:10.1109/jproc.2023.3261137 · Cited by 27

Emotion-Based Recommender System for Overcoming the Problem of Information Overload

Costa, H., & Macedo, L. (2013) · Communications in computer and information science · doi:10.1007/978-3-642-38061-7_18 · Cited by 24

Emotional Reactions to Sounds without Meaning

Västfjäll, D. (2012) · Psychology · doi:10.4236/psych.2012.38091 · Cited by 26

Using affective trajectories to describe states of flow in interactive art

Gilroy, S. W., Cavazza, M., & Benayoun, M. (2009) · International Conference on Advances in Computer Entertainment Technology (ACE) · doi:10.1145/1690388.1690416 · Cited by 24

Social and Spatial Presence: An Application to Optimize Human-Computer Interaction.

Horvath, K., & Lombard, M. (2010) · Cited by 24

Can “The Voices in the Car” Persuade Drivers to Go Green?: Effects of Benefit Appeals from In-Vehicle Voice Agents and the Role of Drivers' Affective States on Eco-Driving

Joo, Y. K., & Lee, J.-E. R. (2014) · Cyberpsychology Behavior and Social Networking · doi:10.1089/cyber.2013.0157 · Cited by 24

Categorical imperativeNOT

Schiano, D. J., Ehrlich, S. M., & Sheridan, K. (2004) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/985692.985699 · Cited by 24

Using learning analytics to study cognitive disequilibrium in a complex learning environment

Worsley, M. B., & Blikstein, P. (2015) · International Conference on Learning Analytics and Knowledge (LAK) · doi:10.1145/2723576.2723659 · Cited by 24

Providing emotion awareness and affective feedback to virtualised collaborative learning scenarios

Feidakis, M., Caballé, S., Daradoumis, Τ., Gañán, D., & Conesa, J. (2014) · International Journal of Continuing Engineering Education and Life-Long Learning · doi:10.1504/ijceell.2014.060154 · Cited by 24

Populating VBS2 with Realistic Virtual Actors

Evertsz, R., Pedrotti, M., Busetta, P., Acar, H., & Ritter, F. E. (2009) · Cited by 24

A biometric signature based system for improved emotion recognition using physiological responses from multiple subjects

Gu, Y., Tan, S.-L., Wong, K.-J., Ho, M. R., & Qu, L. (2010) · IEEE International Conference on Industrial Informatics (INDIN) · doi:10.1109/indin.2010.5549464 · Cited by 24

The Importance of Emotional Usability

Shih, Y.-H., & Liu, M. (2007) · Journal of Educational Technology Systems · doi:10.2190/et.36.2.h · Cited by 24

Emotional Design Tutoring System Based on Multimodal Affective Computing Techniques

Wang, C.-H., & Lin, H.-C. K. (2017) · International Journal of Distance Education Technologies · doi:10.4018/ijdet.2018010106 · Cited by 24

EEG-based emotion recognition using nonlinear feature

Tong, J., Liu, S., Ke, Y., Gu, B., He, F., Wan, B., & Ming, D. (2017) · International Conference on Awareness Science and Technology (iCAST) · doi:10.1109/icawst.2017.8256518 · Cited by 24

A Learning Based Emotion Classifier with Semantic Text Processing

Anusha, V., & Sandhya, B. (2014) · Advances in intelligent systems and computing · doi:10.1007/978-3-319-11218-3_34 · Cited by 24

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