Affective Computing

Impact of trajectory profiles on user stress in close human-robot interaction

Kühnlenz, B., Erhart, M., Kainert, M., Wang, Z.-Q., Wilm, J., & Kühnlenz, K. (2018) · at - Automatisierungstechnik · doi:10.1515/auto-2018-0004 · Cited by 23

Incorporating End-to-End Speech Recognition Models for Sentiment Analysis

Lakomkin, E., Zamani, M. A., Weber, C., Magg, S., & Wermter, S. (2019) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra.2019.8794468 · Cited by 23

Emotional habitat: mapping the global geographic distribution of human emotion with physical environmental factors using a species distribution model

Li, Y., Fei, T., Huang, Y., Li, J., Li, X. R., Zhang, F., Kang, Y., & Wu, G. (2020) · International Journal of Geographical Information Systems · doi:10.1080/13658816.2020.1755040 · Cited by 24

Some Novel Aspects of Health Communication from a Dialogue Systems Perspective.

Bickmore, T., & Toni Giorgino, A. (2004) · Cited by 24

Affect Detection from Human-Computer Dialogue with an Intelligent Tutoring System

D’Mello, S. K., & Graesser, A. C. (2006) · Lecture notes in computer science · doi:10.1007/11821830_5 · Cited by 24

Event-Driven Video Abstraction and Visualization

Nam, J., & Tewfik, A. H. (2002) · Multimedia Tools and Applications · doi:10.1023/a:1013241718521 · Cited by 24

Voting ensembles for spoken affect classification

Morrison, D., & Silva, L. C. D. (2006) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2006.09.005 · Cited by 24

My agents love to conform: Norms and emotion in the micro-macro link

von Scheve, C., Moldt, D., Fix, J., & Lüde, R. V. (2006) · Computational and Mathematical Organization Theory · doi:10.1007/s10588-006-9538-6 · Cited by 24

A Dual-Modal System that Evaluates User's Emotions in Virtual Learning Environments and Responds Affectively

Gañán, D., Conesa, J., Feidakis, M., Caballé, S., & Daradoumis, Τ. (2020) · Zenodo (CERN European Organization for Nuclear Research) · doi:10.3217/jucs-019-11-1638 · Cited by 24

Technology and Emotions

Shank, D. B. (2014) · Handbooks of sociology and social research · doi:10.1007/978-94-017-9130-4_24 · Cited by 24

Emotion-sensitive robots - a new paradigm for human-robot interaction

Rani, P., & Sarkar, N. (2005) · IEEE-RAS International Conference on Humanoid Robots (Humanoids) · doi:10.1109/ichr.2004.1442120 · Cited by 24

Physiologically interactive gaming with the 3D agent Max

Becker, C., Nakasone, A., Prendinger, H., Ishizuka, M., & Wachsmuth, I. (2005) · Publikationen an der Universität Bielefeld (Universität Bielefeld) · Cited by 24

Virtually Living Together: A Design Framework for New Communication Media.

Tollmar, K., Junestrand, S., & Torgny, O. (2000) · Designing Interactive Systems Conference · Cited by 24

How push-to-talk makes talk less pushy

Woodruff, A., & Aoki, P. M. (2003) · International ACM SIGGROUP Conference on Supporting Group Work (GROUP) · doi:10.1145/958160.958187 · Cited by 24

A Cognitive Approach to Affective User Modeling

Martinho, C., Machado, I., & Paiva, A. (2000) · Lecture notes in computer science · doi:10.1007/10720296_6 · Cited by 24

Emotion Recognition Agents in Real World

Petrushin, V. A. (2000) · Cited by 24

Human Emotion Recognition using Physiological Signals: A SurveyPreprint

Chunawale, A., & Bedekar, D. M. (2020) · Social Science Research Network · doi:10.2139/ssrn.3645402 · Cited by 23

BIRAFFE2, a multimodal dataset for emotion-based personalization in rich affective game environments

Kutt, K., Drążyk, D., Żuchowska, L., Szelążek, M., Bobek, S., & Nalepa, G. J. (2022) · Scientific Data · doi:10.1038/s41597-022-01402-6 · Cited by 24

EmoMatchSpanishDB: study of speech emotion recognition machine learning models in a new Spanish elicited database

García-Cuesta, E., Barba, A., & Páez, D. G. (2023) · Multimedia Tools and Applications · doi:10.1007/s11042-023-15959-w · Cited by 23

Tensor Correlation Fusion for Multimodal Physiological Signal Emotion Recognition

Shen, J. G., Zhu, K., Liu, H., Wu, J., Wang, K., & Dong, Q. (2024) · IEEE Transactions on Computational Social Systems · doi:10.1109/tcss.2024.3406988 · Cited by 23

A Review of Human Emotion Synthesis Based on Generative Technology

Ma, F., Xie, Y., Li, Y., He, Y., Zhang, Y., Ren, H., Liu, Z., Yao, W. J., Ren, F., Yu, F. R., et al. (2025) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2025.3573878 · Cited by 33

Feelings Elicited by Auditory Feedback from a Computationally Augmented Artifact: The Flops

Lemaître, G., Houix, O., Susini, P., Visell, Y., & Franinović, K. (2012) · IEEE Transactions on Affective Computing · doi:10.1109/t-affc.2012.1 · Cited by 22

Neuromodulating Cognitive Architecture: Towards Biomimetic Emotional AI

Talanov, M. O., Vallverdú, J., Distefano, S., Mazzara, M., & Delhibabu, R. (2015) · International Conference on Advanced Information Networking and Applications (AINA) · doi:10.1109/aina.2015.240 · Cited by 23

“I Know That You Know How I Feel”: Behavioral and Physiological Signals Demonstrate Emotional Attunement While Interacting with a Computer Simulating Emotional Intelligence

Balzarotti, S., Piccini, L., Andreoni, G., & Ciceri, M. R. (2014) · Journal of Nonverbal Behavior · doi:10.1007/s10919-014-0180-6 · Cited by 23

CC-LR: providing interactive, challenging and attractive Collaborative Complex Learning Resources

Caballé, S., Mora, N., Feidakis, M., Gañán, D., Conesa, J., Daradoumis, T., & Prieto, J. (2014) · Journal of Computer Assisted Learning · doi:10.1111/jcal.12021 · Cited by 32

A Novel Multimodal Emotion Recognition Approach for Affective Human Robot Interaction.

Burgos, F. A. C., Manso, L. J., & Núñez, P. (2015) · Cited by 23

ESSE: Exploring mood on the web

Sood, S. O., & Vasserman, L. (2009) · Cited by 23

Towards Creating a Body of Evidence-based Interactive Digital Narrative Design Knowledge

Roth, C., & Koenitz, H. (2017) · International Workshop on Multimedia Alternate Realities (AltMM) · doi:10.1145/3132361.3133942 · Cited by 25

Identifying emotions in images from valence and arousal ratings

Alarcão, S. M., & Fonseca, M. J. (2017) · Multimedia Tools and Applications · doi:10.1007/s11042-017-5311-8 · Cited by 23

MATE Robots Simplifying My Work: The Benefits and Socioethical Implications

Villani, V., Sabattini, L., Czerniak, J. N., Mertens, A., & Fantuzzi, C. (2018) · IEEE Robotics & Automation Magazine · doi:10.1109/mra.2017.2781308 · Cited by 23

Influence of shape and texture features on facial expression recognition

Barman, A., & Dutta, P. (2019) · IET Image Processing · doi:10.1049/iet-ipr.2018.5481 · Cited by 23

Embodied Robot Models for Interdisciplinary Emotion Research

Cañamero, L. D. (2019) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2019.2908162 · Cited by 24

Artificial Motivation for Cognitive Software Agents

McCall, R. J., Franklin, S., Faghihi, U., Snaider, J., & Kugele, S. (2020) · Journal of Artificial General Intelligence · doi:10.2478/jagi-2020-0002 · Cited by 23

Affective interaction: Using emotions as a user interface in games

Sekhavat, Y. A., Sisi, M. J., & Roohi, S. (2020) · Multimedia Tools and Applications · doi:10.1007/s11042-020-10006-4 · Cited by 23

Artificial Intelligence Techniques for Distance Education: A Systematic Literature Review

Aljarrah, A., Ababneh, M., Karagozlu, D., & Ozdamli, F. (2021) · TEM Journal · doi:10.18421/tem104-18 · Cited by 23

A Two-Person Neuroscience Approach for Social Anxiety: A Paradigm With Interbrain Synchrony and Neurofeedback

Saul, M. A., He, X., Black, S., & Charles, F. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.568921 · Cited by 22

Empathy as an engaging strategy in social robotics: a pilot study

García-Corretjer, M., Ros, R., Mallol, R., & Miralles, D. (2022) · User Modeling and User-Adapted Interaction · doi:10.1007/s11257-022-09322-1 · Cited by 23

An EEG-based subject-independent emotion recognition model using a differential-evolution-based feature selection algorithm

Kannadasan, K., Veerasingam, S., Begum, B. S., & Ramasubramanian, N. (2022) · Knowledge and Information Systems · doi:10.1007/s10115-022-01762-w · Cited by 23

Prompt Consistency for Multi-Label Textual Emotion Detection

Zhou, Y., Kang, X., & Ren, F. (2023) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2023.3254883 · Cited by 23

WiFE: WiFi and Vision Based Unobtrusive Emotion Recognition via Gesture and Facial Expression

Gu, Y., Zhang, X., Yan, H., Huang, J., Liu, Z., Dong, M., & Ren, F. (2023) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2023.3285777 · Cited by 29

A Hierarchical Probabilistic Framework for Recognizing Learners’ Interaction Experience Trends and Emotions

Jraidi, I., Chaouachi, M., & Frasson, C. (2014) · Advances in Human-Computer Interaction · doi:10.1155/2014/632630 · Cited by 22

Objective Methods for Reliable Detection of Concealed Depression

Solomon, C., Valstar, M., Morriss, R. K., & Crowe, J. A. (2015) · Frontiers in ICT · doi:10.3389/fict.2015.00005 · Cited by 27

Affective State Recognition and Adaptation in Human-Robot Interaction: A Design Approach

Liu, C., Rani, P., & Sarkar, N. (2006) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2006.282328 · Cited by 23

An emotional analysis method based on heart rate variability

Wang, C., & Wang, F. (2012) · IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI ...) · doi:10.1109/bhi.2012.6211518 · Cited by 23

Measuring Immersion and Affect in a Brain-Computer Interface Game

Hakvoort, G., Gürkök, H., Bos, D. P.-O., Obbink, M., & Poel, M. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-23774-4_12 · Cited by 23

The Cognition and Affect Project: Architectures, Architecture-Schemas, And The New Science of Mind. 1

Sloman, A. (2008) · Cited by 23

Realidad Virtual (HMD) e Interacción desde la Perspectiva de la Construcción Narrativa y la Comunicación: Propuesta Taxonómica

Tamayo, J. L. R., & Barrio, M. G. (2016) · Revista ICONO14 · doi:10.7195/ri14.v14i2.965 · Cited by 23

Emotion models for textual emotion classification

Bruna, O., Avetisyan, H. G., & Holub, J. (2016) · Journal of Physics Conference Series · doi:10.1088/1742-6596/772/1/012063 · Cited by 23

GIFGIF+: Collecting emotional animated GIFs with clustered multi-task learning

Chen, W. '., Rudovic, O. O., & Picard, R. W. (2017) · International Conference on Affective Computing and Intelligent Interaction and workshops · doi:10.1109/acii.2017.8273647 · Cited by 23

Identifying A User Interface Web Design Standard for Higher Learning Institutions Using Kansei Engineering

Turumugon, P., & Baharum, A. (2018) · Indonesian Journal of Electrical Engineering and Computer Science · doi:10.11591/ijeecs.v11.i1.pp90-97 · Cited by 23

Ethical and Technical Aspects of Emotions to Create Empathy in Medical Machines

Vallverdú, J., & Casacuberta, D. (2014) · International series on intelligent systems, control and automation: science and engineering · doi:10.1007/978-3-319-08108-3_20 · Cited by 25

An Affective Module for an Intelligent Tutoring System

Kort, B. W., & Reilly, R. (2002) · Lecture notes in computer science · doi:10.1007/3-540-47987-2_95 · Cited by 23

An exploratory study of detecting emotion states using eye-tracking technology

Alshehri, M., & Alghowinem, S. (2013) · ANU Open Research (Australian National University) · Cited by 23

Attuning speech-enabled interfaces to user and context for inclusive design: technology, methodology and practice

Neerincx, M. A., Cremers, A., Kessens, J. M., van Leeuwen, D. A., & Truong, K. P. (2008) · Universal Access in the Information Society · doi:10.1007/s10209-008-0136-x · Cited by 24

GroupMedia

Madan, A., Caneel, R., & Pentland, A. (2004) · INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION · doi:10.1145/1027933.1027983 · Cited by 23

Locally weighted linear regression for cross-lingual valence-arousal prediction of affective words

Wang, J., Yu, L.-C., Lai, K. R., & Zhang, X.-J. (2016) · Neurocomputing · doi:10.1016/j.neucom.2016.02.057 · Cited by 21

Machines and Mindlessness

Nass, C., & Moon, Y. (2000) · Cited by 23

Emotional Valence-Based Mechanisms and Agent Personality

Oliveira, E., & Sarmento, L. (2002) · Lecture notes in computer science · doi:10.1007/3-540-36127-8_15 · Cited by 23

A BDI Approach to Infer Student’s Emotions

Jaques, P. A., & Viccari, R. M. (2004) · Lecture notes in computer science · doi:10.1007/978-3-540-30498-2_90 · Cited by 23

Prosody based emotion recognition for MEXI

Austermann, A., Esau, N., Kleinjohann, L., & Kleinjohann, B. (2005) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2005.1545341 · Cited by 23

Affective learning companions

Burleson, W., & Picard, R. W. (2004) · Educational technology: The magazine for managers of change in education · Cited by 23

Affective computing and medical informatics: state of the art in emotion-aware medical applications.

Luneski, A., Bamidis, P. D., & Hitoglou-Antoniadou, M. (2008) · PubMed · Cited by 23

Neurophysiological Markers for Passive Brain–Computer Interfaces

Roy, R. N., & Frey, J. (2016) · doi:10.1002/9781119144977.ch5 · Cited by 23

In the hands of users with intellectual disabilities: co-designing tangible user interfaces for mental wellbeing

Woodward, K., Kanjo, E., Brown, D. J., McGinnity, T. M., & Harold, G. T. (2023) · Personal and Ubiquitous Computing · doi:10.1007/s00779-023-01752-x · Cited by 24

Brain Network Manifold Learned by Cognition-Inspired Graph Embedding Model for Emotion Recognition

Li, C., Li, P., Chen, Z., Yang, L., Li, F., Wan, F., Cao, Z., Yao, D., Lu, B., & Xu, P. (2024) · IEEE Transactions on Systems Man and Cybernetics Systems · doi:10.1109/tsmc.2024.3458949 · Cited by 22

Enhancing Emotional Well Being of Elderly Using Assistive Social Robots in Australia

Khosla, R., Chu, M.-T., & Nguyen, K. (2013) · International Conference on Biometrics and Kansei Engineering (ICBAKE) · doi:10.1109/icbake.2013.9 · Cited by 22

Identifying emotions expressed by mobile users through 2D surface and 3D motion gestures

Coutrix, C., & Mandran, N. (2012) · ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp) · doi:10.1145/2370216.2370265 · Cited by 22

Mobile Human Network Management and Recommendation by Probabilistic Social Mining

Min, J.-K., & Cho, S. (2010) · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) · doi:10.1109/tsmcb.2010.2092424 · Cited by 22

A Novel Graph Regularized Sparse Linear Discriminant Analysis Model for EEG Emotion Recognition

Li, Y., Zheng, W., Cui, Z., & Zhou, X. (2016) · Lecture notes in computer science · doi:10.1007/978-3-319-46681-1_21 · Cited by 22

Executive functions, temperament and character traits: A quantitative analysis of the relationship between personality and prefrontal functions

Sperandeo, R., Maldonato, M. N., Baldo, G., & Dell’Orco, S. (2016) · IEEE International Conference on Cognitive Infocommunications · doi:10.1109/coginfocom.2016.7804522 · Cited by 22

Executive functions and personality features: A circular interpretative paradigm

Sperandeo, R., Moretto, E., Baldo, G., Dell’Orco, S., & Maldonato, M. N. (2017) · IEEE International Conference on Cognitive Infocommunications · doi:10.1109/coginfocom.2017.8268217 · Cited by 22

“What About Automated Pain Recognition for Routine Clinical Use?” A Survey of Physicians and Nursing Staff on Expectations, Requirements, and Acceptance

Walter, S., Gruss, S., Frisch, S., Liter, J., Jerg‐Bretzke, L., Zujalovic, B., & Barth, E. (2020) · Frontiers in Medicine · doi:10.3389/fmed.2020.566278 · Cited by 22

Speech-Based Emotion Recognition with Self-Supervised Models Using Attentive Channel-Wise Correlations and Label Smoothing

Kakouros, S., Stafylakis, T., Mošner, L., & Burget, L. (2023) · ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) · doi:10.1109/icassp49357.2023.10094673 · Cited by 22

Ethical considerations for integrating multimodal computer perception and neurotechnology

Hurley, M. E., Sonig, A., Herrington, J. D., Storch, E. A., Lázaro‐Muñoz, G., Blumenthal‐Barby, J., & Kostick, K. M. (2024) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2024.1332451 · Cited by 28

Don’t Get Emotional

Palen, L. A., & Bødker, S. (2008) · Lecture notes in computer science · doi:10.1007/978-3-540-85099-1_2 · Cited by 22

User-Centric Profiling on the Basis of Cognitive and Emotional Characteristics: An Empirical Study

Tsianos, N., Lekkas, Z., Germanakos, P., Mourlas, C., & Samaras, G. (2008) · Lecture notes in computer science · doi:10.1007/978-3-540-70987-9_24 · Cited by 22

Scent Marketing: Subliminal Advertising Messages.

Emsenhuber, B. (2009) · Cited by 22

Does the More Vivid Imagery of High Hypnotizables Depend on Greater Cognitive Effort?A Test of Dissociation and Social-Cognitive Theories of Hypnosis

Sadler, P., & Woody, E. Z. (2006) · International Journal of Clinical and Experimental Hypnosis · doi:10.1080/00207140600856715 · Cited by 22

Using the Startle Eye-Blink to Measure Affect in Players

Nesbitt, K., Blackmore, K., Hookham, G., Kay-Lambkin, F. J., & Walla, P. (2015) · Springer eBooks · doi:10.1007/978-3-319-05834-4_18 · Cited by 25

Product Meaning, Affective Use Evaluation, and Transfer:

Helfenstein, S. (2005) · Human Technology · doi:10.17011/ht/urn.2005127 · Cited by 21

Discovery and Classification of the Underlying Emotions in the User Generated Content (UGC)

Serna, A., Gerrikagoitia, J. K., & Bernabé, U. (2016) · Springer eBooks · doi:10.1007/978-3-319-28231-2_17 · Cited by 22

Physiological Measurement on Students’ Engagement in a Distributed Learning Environment

Wang, C., & Cesar, P. S. (2015) · International Conference on Physiological Computing Systems (PhyCS) · doi:10.5220/0005229101490156 · Cited by 22

Developing Turkish sentiment lexicon for sentiment analysis using online news media

Sağlam, F., Sever, H., & Genç, B. (2016) · IEEE/ACS International Conference on Computer Systems and Applications (AICCSA) · doi:10.1109/aiccsa.2016.7945670 · Cited by 22

FishBuddy: Promoting Student Engagement in Self-Paced Learning through Wearable Sensing

Chen, J., Zhu, B., Bälter, O., Xu, J., Zou, W., Hedman, A., Chen, R., & Sang, M. (2017) · IEEE International Conference on Smart Computing · doi:10.1109/smartcomp.2017.7947008 · Cited by 22

Using Synchrony-Based Neurofeedback in Search of Human Connectedness

Dikker, S., Montgomery, S. M., & Tunca, S. (2019) · Springer eBooks · doi:10.1007/978-3-030-14323-7_6 · Cited by 22

Expressing Personalities of Conversational Agents through Visual and Verbal Feedback

Lee, S.-Y., Lee, G., Kim, S., & Lee, J. (2019) · Electronics · doi:10.3390/electronics8070794 · Cited by 22

Motions with Emotions? : A Phenomenological Approach to Understanding the Simulated Aliveness of a Robot Body

Parviainen, J., Aerschot, L. V., Särkikoski, T., Pekkarinen, S., Melkas, H., & Hennala, L. (2019) · Jyväskylä University Digital Archive (University of Jyväskylä) · doi:10.5840/techne20191126106 · Cited by 22

Internet of emotional people: Towards continual affective computing cross cultures via audiovisual signals

Han, J., Zhang, Z., Pantić, M., & Schuller, B. W. (2020) · Future Generation Computer Systems · doi:10.1016/j.future.2020.08.002 · Cited by 22

Multi-reservoirs EEG signal feature sensing and recognition method based on generative adversarial networks

Dong, Y., & Ren, F. (2020) · Computer Communications · doi:10.1016/j.comcom.2020.10.004 · Cited by 22

Subliminally Enhancing Self-esteem: Impact on Learner Performance and Affective State

Jraidi, I., & Frasson, C. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-13437-1_2 · Cited by 22

Understanding Affective Engagement as a Resource in Interaction Design

Fritsch, J. (2009) · Nordic design research conference · doi:10.21606/nordes.2009.020 · Cited by 22

Robust Recognition of Emotion from Speech

Hoque, M. E., Yeasin, M., & Louwerse, M. M. (2006) · Lecture notes in computer science · doi:10.1007/11821830_4 · Cited by 22

Reliability and factor structure of the Attitude Toward Tutoring Agent Scale (ATTAS)

Adcock, A. B., & Eck, R. N. V. (2005) · The Journal of Interactive Learning Research · Cited by 22

The Aesthetic Dimensions of U.S. and South Korean Responses to Web Home Pages: A Cross-Cultural Comparison

Faiola, A. J., Ho, C.-C., Tarrant, M. D., & MacDorman, K. F. (2011) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2011.537173 · Cited by 22

Real-time detection of emotional changes for inhabited environments

Leon, E., Clarke, G., Callaghan, V., & Sepulveda, F. (2004) · Computers & Graphics · doi:10.1016/j.cag.2004.06.002 · Cited by 22

Gender issues in information and communication technologies (ICTs)

Oleksy, W., Just, E., & Zapędowska-Kling, K. A. (2012) · Journal of Information Communication and Ethics in Society · doi:10.1108/14779961211227010 · Cited by 23

Measuring affect in hci

Shami, N. S., Hancock, J. T., Peter, C., Muller, M. J., & Mandryk, R. L. (2008) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/1358628.1358952 · Cited by 22

E-motional advantage

Axelrod, L., & HONE, K. S. (2005) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/1056808.1056874 · Cited by 22

An emergent framework for realistic psychosocial behaviour in non player characters

Bailey, C., & Katchabaw, M. J. (2008) · Conference on Future Play · doi:10.1145/1496984.1496988 · Cited by 22

Affective Computing in Games

Guthier, B., Dörner, R., & Martínez, H. P. (2016) · Lecture notes in computer science · doi:10.1007/978-3-319-46152-6_16 · Cited by 23

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