Affective Computing

Keystroke dynamics in the pre-touchscreen era

Ahmad, N., Szymkowiak, A., & Campbell, P. A. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00835 · Cited by 19

EEG-based attention recognition

Li, X., Hu, B., Dong, Q., Campbell, W., Moore, P. T., & Peng, H. (2011) · International Conference on Pervasive Computing and Applications (ICPCA) · doi:10.1109/icpca.2011.6106504 · Cited by 20

Simplifying the Design of Human-Like Behaviour

Bryson, J. J., & Tanguy, E. (2010) · International Journal of Synthetic Emotions · doi:10.4018/jse.2010101603 · Cited by 20

CASTOR

Pittarello, F., & Bertani, L. (2012) · ACM International Conference on Interaction Design and Children (IDC) · doi:10.1145/2307096.2307098 · Cited by 21

Unimodal and Multimodal Human Perceptionof Naturalistic Non-Basic Affective Statesduring Human-Computer Interactions

D'Mello, S. K., Dowell, N. M. M., & Graesser, A. (2013) · IEEE Transactions on Affective Computing · doi:10.1109/t-affc.2013.19 · Cited by 24

Design and user issues in personality-based recommender systems

Hu, R. J. (2010) · ACM Conference on Recommender Systems (RecSys) · doi:10.1145/1864708.1864790 · Cited by 20

An emotional system with application to blood cell type identification

Khashman, A. (2010) · Transactions of the Institute of Measurement and Control · doi:10.1177/0142331210366640 · Cited by 20

Increasing Student Discourse to Support Rapport Building in Web and Blended Courses Using a 3D Online Learning Environment

Jones, J. G., Warren, S., & Robertson, M. J. (2009) · The Journal of Interactive Learning Research · Cited by 20

Telling the Story and Re-Living the Past: How Speech Analysis Can Reveal Emotions in Post-traumatic Stress Disorder (PTSD) Patients

van den Broek, E. L., van der Sluis, F., & Dijkstra, T. (2010) · Philips Research · doi:10.1007/978-90-481-3258-4_10 · Cited by 20

Is the Mobile Phone a Personalized Social Robot?

Vincent, J. (2013) · London School of Economics and Political Science Research Online (London School of Economics and Political Science) · Cited by 20

A GMM based 2-stage architecture for multi-subject emotion recognition using physiological responses

Gu, Y., Lim, T. S., Wong, K.-J., Ringo, H., & Qu, L. (2010) · Augmented Human International Conference · doi:10.1145/1785455.1785458 · Cited by 20

Classification model of arousal and valence mental states by EEG signals analysis and Brodmann correlations

Aguiñaga, A. R., Ángel, M., & del, M. (2015) · International Journal of Advanced Computer Science and Applications · doi:10.14569/ijacsa.2015.060633 · Cited by 20

Emotional agents - state of the art and applications

Ivanović, M. D., Budimac, Z., Radovanović, M., Kurbalija, V., Dai, W., Bădică, C., Colhon, M., Ninković, S., & Mitrović, D. M. (2015) · Computer Science and Information Systems · doi:10.2298/csis141026047i · Cited by 20

Sonification of Emotion: Strategies and results from the intersection with music

Winters, R. M., & Wanderley, M. M. (2014) · Organised Sound · doi:10.1017/s1355771813000411 · Cited by 23

Engaging the Brain: Implications of Mobile EEG for Spatial Representation

Mavros, P., Coyne, R., Roe, J., & Aspinall, P. (2012) · eCAADe proceedings · doi:10.52842/conf.ecaade.2012.2.657 · Cited by 20

Affect, Attention, and Automation

Lee, J. D. (2006) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780195305722.003.0006 · Cited by 20

Combining Facial Expression and Touch for Perceiving Emotional Valence

Tsalamlal, M. Y., Amorim, M., Martin, J., & Ammi, M. (2016) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2016.2631469 · Cited by 21

Biometrics and classifier fusion to predict the fun-factor in video gaming

Clerico, A., Chamberland, C., Parent, M., Michon, P., Tremblay, S., Falk, T. H., Gagnon, J.-C., & Jackson, P. L. (2016) · IEEE Conference on Computational Intelligence and Games (CIG) · doi:10.1109/cig.2016.7860418 · Cited by 20

Affective Human–Robot Interaction

Beer, J. M., Liles, K. R., Wu, X., & Pakala, S. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-801851-4.00015-x · Cited by 20

Empathie als Dimension des Filmverstehens. Ein Thesenpapier

Wulff, H.-J. (2003) · Multimedialen Archiv und Publikationsserver der Christian-Albrechts-Universität zu Kiel (Christian-Albrechts-Universität zu Kiel) · doi:10.25969/mediarep/155 · Cited by 20

Sentiment analysis of text based on three-way decisions

Ren, F., & Wang, L. (2017) · Journal of Intelligent & Fuzzy Systems · doi:10.3233/jifs-161522 · Cited by 20

Towards More Robust Automatic Facial Expression Recognition in Smart Environments

Bernin, A., Müller, L., Ghose, S., von Luck, K., Grecos, C., Wang, Q., & Vogt, F. (2017) · Petra · doi:10.1145/3056540.3056546 · Cited by 21

Affective Learning: Principles, Technologies, Practice

Bamidis, P. D. (2017) · Lecture notes in computer science · doi:10.1007/978-3-319-67615-9_1 · Cited by 20

Artificial Entities or Moral Agents? How AI is Changing Human Evolution

Maldonato, M. N., & Valerio, P. (2017) · Smart innovation, systems and technologies · doi:10.1007/978-3-319-56904-8_36 · Cited by 20

Measuring the emotional state among interacting agents: A game theory approach using reinforcement learning

Salgado, M., & Clempner, J. B. (2017) · Expert Systems with Applications · doi:10.1016/j.eswa.2017.12.036 · Cited by 21

Toward a Neuroscience of Adult Cognitive Developmental Theory

Girgis, F., Lee, D. J., Goodarzi, A., & Ditterich, J. (2018) · Frontiers in Neuroscience · doi:10.3389/fnins.2018.00004 · Cited by 25

BandReader - A Mobile Application for Data Acquisition from Wearable Devices in Affective Computing Experiments

Kutt, K., Nalepa, G. J., Giżycka, B., Jemioło, P., & Adamczyk, M. (2018) · Conference on Human System Interactions · doi:10.1109/hsi.2018.8431271 · Cited by 20

Lexical Dependent Emotion Detection Using Synthetic Speech Reference

Lotfian, R., & Busso, C. (2019) · IEEE Access · doi:10.1109/access.2019.2898353 · Cited by 20

Speech Emotion Recognition using Convolutional Neural Network with Audio Word-based Embedding

Huang, K.-Y., Wu, C., Hong, Q.-B., Su, M.-H., & Zeng, Y.-R. (2018) · International Symposium on Chinese Spoken Language Processing (ISCSLP) · doi:10.1109/iscslp.2018.8706610 · Cited by 20

Eye gaze behavior during affective picture viewing: Effects of motivational significance, gender, age, and repeated exposure

Gomez, P., von Gunten, A., & Danuser, B. (2019) · Biological Psychology · doi:10.1016/j.biopsycho.2019.06.001 · Cited by 20

Going with our Guts: Potentials of Wearable Electrogastrography (EGG) for Affect Detection

Vujic, A., Tong, S., Picard, R. W., & Maes, P. (2020) · International Conference on Multimodal Interaction · doi:10.1145/3382507.3418882 · Cited by 21

Negotiating Agents

Jonker, C. M., Hindriks, K. V., Wiggers, P., & Broekens, J. (2012) · AI Magazine · doi:10.1609/aimag.v33i3.2421 · Cited by 20

Exploring the Effect of Arousal and Valence on Mouse Interaction

Grimes, G. M., Jenkins, J. L., & Valacich, J. S. (2013) · ScholarsArchive (Brigham Young University) · Cited by 20

Multi-score Learning for Affect Recognition: The Case of Body Postures

Meng, H., Kleinsmith, A., & Bianchi‐Berthouze, N. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-24600-5_26 · Cited by 20

Wearable partner agent with anthropomorphic physical contact with awareness of user's clothing and posture

Yonezawa, T., & Yamazoe, H. (2013) · International Symposium on Wearable Computers · doi:10.1145/2493988.2494347 · Cited by 20

Eeg-based emotion recognition with brain network using independent components analysis and granger causality

Dongwei, C., Fang, W., Zhen, W., Li, H., & Junjie, C. (2013) · International Conference on Computer Medical Applications (ICCMA) · doi:10.1109/iccma.2013.6506157 · Cited by 20

The Informational Patterns of Laughter

Bea, J. A., & Marijuán, P. C. (2003) · Entropy · doi:10.3390/e5020205 · Cited by 20

Embodying Emotions: What Emotion Theorists Can Learn from Simulations of Emotions

Spackman, M. P., & Miller, D. (2008) · Minds and Machines · doi:10.1007/s11023-008-9105-7 · Cited by 25

Biometric Mouse Intelligent System for Student's Emotional and Examination Process Analysis

Kaklauskas, A., Krutinis, M., & Seniut, M. (2009) · IEEE International Conference on Advanced Learning Technologies (ICALT) · doi:10.1109/icalt.2009.130 · Cited by 20

High User Control in Game Design Elements Increases Compliance and In-game Performance in a Memory Training Game

Nagle, A., Riener, R., & Wolf, P. (2015) · Frontiers in Psychology · doi:10.3389/fpsyg.2015.01774 · Cited by 21

Decision theoretic modeling of affective and cognitive needs for product experience engineering: key issues and a conceptual framework

Jiao, J. R., Zhou, F., & Chu, C. (2016) · Journal of Intelligent Manufacturing · doi:10.1007/s10845-016-1240-z · Cited by 21

Compassionate AI and Selfless Robots: A Buddhist Approach

Lin, P. K., Abney, K., & Bekey, G. A. (2012) · Cited by 20

Recognizing student facial expressions: A web application

Savva, A., Stylianou, V., Kyriacou, K., & Domenach, F. (2018) · IEEE Global Engineering Education Conference · doi:10.1109/educon.2018.8363404 · Cited by 15

Multimodal-multisensor affect detection

D’Mello, S. K., Bosch, N., & Chen, H. (2018) · ACM eBooks · doi:10.1145/3107990.3107998 · Cited by 20

English ABLE

Zapata‐Rivera, D., VanWinkle, W. H., Shute, V. J., Underwood, J. S., & Bauer, M. I. (2007) · Cited by 20

Emotion Recognition Based on Physiological Signals

Wu, N., Jiang, H., & Yang, G. (2012) · Lecture notes in computer science · doi:10.1007/978-3-642-31561-9_35 · Cited by 20

Emotion Recognition Using KNN Classification for User Modeling and Sharing of Affect States

Meftah, I. T., Thanh, N. L., & Amar, C. B. (2012) · Lecture notes in computer science · doi:10.1007/978-3-642-34475-6_29 · Cited by 20

Face for Ambient Interface

Pantić, M. (2006) · Lecture notes in computer science · doi:10.1007/11825890_2 · Cited by 20

Simulating Affective Communication with Animated Agents.

Prendinger, H., & Ishizuka, M. (2001) · Cited by 20

Sociology: Modeling Social Interaction With Autonomous Agents

Brent, E. E., & Thompson, G. A. (1999) · Social Science Computer Review · doi:10.1177/089443939901700306 · Cited by 20

EMOTION RECOGNITION BASED ON MPEG4 FACIAL ANIMATION PARAMETERS

Pardàs, M., Bona, A., & Landabaso, J. L. (2002) · Cited by 20

Multimodal embodied agents

Pélachaud, C., & Poggi, I. (2002) · The Knowledge Engineering Review · doi:10.1017/s0269888902000218 · Cited by 20

Atoms of EVE′: A Bayesian basis for esthetic analysis of style in sketching

BURNS, K. (2006) · Artificial intelligence for engineering design analysis and manufacturing · doi:10.1017/s0890060406060161 · Cited by 20

Multimodal approach to measuring excitement in video

Hanjalić, A. (2003) · IEEE International Conference on Multimedia and Expo (ICME) · doi:10.1109/icme.2003.1221610 · Cited by 20

Modeling Emotions in the Mission Rehearsal Exercise

Gratch, J. S., & Marsella, S. (2001) · Cited by 20

Facial Expression and Gesture Analysis for Emotionally-Rich Man-Machine Interaction

Karpouzis, K. C., Raouzaiou, A. T., Drosopoulos, A., Ioannou, S. V., Balomenos, T., & Tsapatsoulis, N. (2004) · IGI Global eBooks · doi:10.4018/978-1-59140-299-2.ch005 · Cited by 20

Emotion Recognition from Non‐Frontal Facial Images

Zheng, W., Tang, H., & Huang, T. S. (2015) · Wiley eBooks · doi:10.1002/9781118910566.ch8 · Cited by 20

An Empathic Virtual Buddy for Social Support

van der Zwaan, J. M. (2014) · Research Repository (Delft University of Technology) · doi:10.4233/uuid:f32371b2-82cc-414e-9569-2d56b12a530a · Cited by 50

Multimodal Video-based Apparent Personality Recognition Using Long Short-Term Memory and Convolutional Neural NetworksPreprint

Aslan, S., & Güdükbay, U. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1911.00381 · Cited by 31

A Multimodal-Driven Fusion Data Augmentation Framework for Emotion Recognition

Li, A., Wu, M., Ouyang, R., Wang, Y., Li, F., & Lv, Z. (2025) · IEEE Transactions on Artificial Intelligence · doi:10.1109/tai.2025.3537965 · Cited by 19

Motivational Computing: Transformer-Based Automation of Implicit Motive Coding

Pang, J. S., Ring, H., Huang, K. Y., & Khoo, A. X. (2026) · Journal of Personality Assessment · doi:10.1080/00223891.2026.2630930 · Cited by 19

Computing machinery and morality

Whitby, B. (2007) · AI & Society · doi:10.1007/s00146-007-0100-y · Cited by 19

Probabilistic Multigraph Modeling for Improving the Quality of Crowdsourced Affective Data

Ye, J., Li, J., Newman, M. G., Adams, R. B., & Wang, J. Z. (2017) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2017.2678472 · Cited by 19

A study about psychophysiological measures in user experience monitoring and evaluation

Maia, C. L. B., & Furtado, E. S. (2016) · Brazilian Symposium on Human Factors in Computing Systems (IHC) · doi:10.1145/3033701.3033708 · Cited by 19

Putting to (information) work: A Stengersian perspective on how information technologies and people influence information practices

Huvila, I. (2018) · The Information Society · doi:10.1080/01972243.2018.1463332 · Cited by 20

An efficient model-level fusion approach for continuous affect recognition from audiovisual signals

Pei, E., Jiang, D., & Hichem Sahli, B. (2019) · Neurocomputing · doi:10.1016/j.neucom.2019.09.037 · Cited by 21

Ethics Sheets for AI Tasks

Mohammad, S. M. (2022) · Proceedings of the conference - Association for Computational Linguistics. Meeting · doi:10.18653/v1/2022.acl-long.573 · Cited by 30

Detecting naturalistic expression of emotions using physiological signals while playing video games

AlZoubi, O., AlMakhadmeh, B., Yassein, M. B., & Mardini, W. E. (2021) · Journal of Ambient Intelligence and Humanized Computing · doi:10.1007/s12652-021-03367-7 · Cited by 18

AffectiveTDA: Using Topological Data Analysis to Improve Analysis and Explainability in Affective Computing

Elhamdadi, H., Canavan, S. J., & Rosen, P. (2021) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2021.3114784 · Cited by 19

Artificial emotional intelligence beyond East and West

White, D., & Katsuno, H. (2022) · Internet Policy Review · doi:10.14763/2022.1.1618 · Cited by 19

Smiles and Angry Faces vs. Nods and Head Shakes: Facial Expressions at the Service of Autonomous Vehicles

Rouchitsas, A., & Alm, H. (2023) · Multimodal Technologies and Interaction · doi:10.3390/mti7020010 · Cited by 22

A Systematic Review of Facial Expression Detection Methods

Pinto, L. V. L., Alves, A. V. N., Medeiros, A. M., Costa, S. W. D. S., Pires, Y. P., Costa, F. A. R., & Seruffo, M. C. D. R. (2023) · IEEE Access · doi:10.1109/access.2023.3287090 · Cited by 19

Accounting students’ online engagement, choice of course delivery format and their effects on academic performance

Hu, Y., Nath, N. D., Zhu, Y., & Laswad, F. (2023) · Accounting Education · doi:10.1080/09639284.2023.2254298 · Cited by 19

Towards affective computing that works for everyone

Verhoef, T., & Fosch‐Villaronga, E. (2023) · International Conference on Affective Computing and Intelligent Interaction and workshops · doi:10.1109/acii59096.2023.10388169 · Cited by 21

An Emotional Architecture for Virtual Characters

Imbert, R., & de Antonio, A. (2005) · Lecture notes in computer science · doi:10.1007/11590361_7 · Cited by 19

Agents and Affect: Why Embodied Agents Need Affective Systems

Aylett, R. S. (2004) · Lecture notes in computer science · doi:10.1007/978-3-540-24674-9_52 · Cited by 19

Sentic Avatar: Multimodal Affective Conversational Agent with Common Sense

Cambria, E., Hupont, I., Hussain, A., Cerezo, E., & Baldassarri, S. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-18184-9_8 · Cited by 19

Modeling Forms of Surprise in an Artificial Agent

Macedo, L., & Cardoso, A. (2001) · eScholarship (California Digital Library) · Cited by 19

Mood Assessment Via Animated Characters: A Novel Instrument to Evaluate Feelings in Young Children With Anxiety Disorders

Manassis, K., Mendlowitz, S. L., Kreindler, D. M., Lumsden, C. J., Sharpe, J. A., Simon, M. D., Woolridge, N., Monga, S., & Nevo, G. A. (2009) · Journal of Clinical Child & Adolescent Psychology · doi:10.1080/15374410902851655 · Cited by 19

Detecting & interpreting self-manipulating hand movements for student’s affect prediction

Hussain, A., Abbasi, A. R., & Afzulpurkar, N. (2012) · Human-centric Computing and Information Sciences · doi:10.1186/2192-1962-2-14 · Cited by 19

Emotional Speech Analysis on Nonlinear Manifold

You, M., Chen, C., Bu, J., Liu, J., & Tao, J. (2006) · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · doi:10.1109/icpr.2006.490 · Cited by 19

Emotionally Assisted Human–Robot Interaction Using a Wearable Device for Reading Facial Expressions

Gruebler, A., Berenz, V., & Suzuki, K. (2012) · Advanced Robotics · doi:10.1080/01691864.2012.686349 · Cited by 19

People interpret robotic non-linguistic utterances categorically

Read, R., & Belpaeme, T. (2013) · Ghent University Academic Bibliography (Ghent University) · doi:10.5555/2447556.2447641 · Cited by 19

Fuzzy sets and systems in building closed-loop affective computing systems for human-computer interaction: Advances and new research directions

Wu, D. (2012) · IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) · doi:10.1109/fuzz-ieee.2012.6250779 · Cited by 19

Modeling the Experience of Emotion

Broekens, J. (2010) · International Journal of Synthetic Emotions · doi:10.4018/jse.2010101601 · Cited by 20

Real time labeling of affect in music using the affectbutton

Broekens, J., Pronker, A., & Neuteboom, M. (2010) · International Workshop on Affective Interaction in Natural Environments (AFFINE) · doi:10.1145/1877826.1877833 · Cited by 19

Emotion Analysis of Telephone Complaints from Customer Based on Affective Computing

Gong, S., Dai, Y., Ji, J., Wang, J., & Sun, H. Y. (2015) · Computational Intelligence and Neuroscience · doi:10.1155/2015/506905 · Cited by 19

Relating GSR Signals to traditional Usability Metrics: Case Study with an anthropomorphic Web Assistant

Foglia, P., Prete, C. A., & Zanda, M. (2008) · Conference proceedings - IEEE Instrumentation/Measurement Technology Conference · doi:10.1109/imtc.2008.4547339 · Cited by 19

A Novel Probabilistic Approach to Modeling the Pleasure-Arousal-Dominance Content of the Video based on "Working Memory"

Arifin, S., & Cheung, P. Y. K. (2007) · IEEE International Conference on Semantic Computing (ICSC) · doi:10.1109/icsc.2007.22 · Cited by 19

Experimental Analysis of a Mobile Health System for Mood Disorders

Massey, T., Marfia, G., Potkonjak, M., & Sarrafzadeh, M. (2009) · IEEE Transactions on Information Technology in Biomedicine · doi:10.1109/titb.2009.2034738 · Cited by 19

People show envy, not guilt, when making decisions with machines

de Melo, C. M., & Gratch, J. S. (2015) · International Conference on Affective Computing and Intelligent Interaction and workshops · doi:10.1109/acii.2015.7344589 · Cited by 19

Active Class Selection for Arousal Classification

Wu, D., & Parsons, T. D. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-24571-8_14 · Cited by 19

Affective Common Sense Knowledge Acquisition for Sentiment Analysis

Cambria, E., Xia, Y., & Hussain, A. (2012) · Language Resources and Evaluation Conference (LREC) · doi:10.63317/4wcp5i9rkxyd · Cited by 19

Multimodal architecture for emotion in robots using deep learning

Ghayoumi, M., & Bansal, A. K. (2016) · Future Technologies Conference · doi:10.1109/ftc.2016.7821710 · Cited by 19

Cognitive Computing: Where Big Data Is Driving Us

Appel, A. P., Candello, H. C. D. S. P., & Gandour, F. (2017) · Springer eBooks · doi:10.1007/978-3-319-49340-4_24 · Cited by 19

Evaluation of Facial Expression Recognition by a Smart Eyewear for Facial Direction Changes, Repeatability, and Positional Drift

Masai, K., Kunze, K., Sugiura, Y., Ogata, M., Inami, M., & Sugimoto, M. (2017) · ACM Trans. Interact. Intell. Syst. · doi:10.1145/3012941 · Cited by 19

Towards the Development of Sensor Platform for Processing Physiological Data from Wearable Sensors

Kutt, K., Binek, W., Misiak, P., Nalepa, G. J., & Bobek, S. (2018) · Lecture notes in computer science · doi:10.1007/978-3-319-91262-2_16 · Cited by 19

A Comparison of Emotion Elicitation Methods for Affective Driving Studies

Braun, M., Weiser, S., Pfleging, B., & Alt, F. (2018) · International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI) · doi:10.1145/3239092.3265945 · Cited by 19

From Habits to Standards: Towards Systematic Design of Emotion Models and Affective Architectures

Hudlická, E. (2014) · Lecture notes in computer science · doi:10.1007/978-3-319-12973-0_1 · Cited by 19

Adaptive Review for Mobile MOOC Learning via Multimodal Physiological Signal Sensing - A Longitudinal Study

Pham, P. T., & Wang, J. (2018) · INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION · doi:10.1145/3242969.3243002 · Cited by 19

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