22.3.6.2.5 Personality, Traits, Mood, Deception, Diagnosis Analysis

Arellano, D.[Diana], Perales, F.J.[Francisco J.], Varona, J.[Javier],
Mood and Its Mapping onto Facial Expressions,
AMDO14(31-40).
Springer DOI 1407
BibRef

Cerezo, E.[Eva], Hupont, I.[Isabelle], Manresa-Yee, C.[Cristina], Varona, J.[Javier], Baldassarri, S.[Sandra], Perales, F.J.[Francisco J.], Seron, F.J.[Francisco J.],
Real-Time Facial Expression Recognition for Natural Interaction,
IbPRIA07(II: 40-47).
Springer DOI 0706
BibRef

Benini, S.[Sergio], Canini, L.[Luca], Leonardi, R.[Riccardo],
A Connotative Space for Supporting Movie Affective Recommendation,
MultMed(13), No. 6, 2011, pp. 1356-1370.
IEEE DOI 1112

See also Hierarchical structuring of video previews by Leading-Cluster-Analysis. BibRef

Canini, L.[Luca], Benini, S.[Sergio], Leonardi, R.[Riccardo],
Affective Recommendation of Movies Based on Selected Connotative Features,
CirSysVideo(23), No. 4, April 2013, pp. 636-647.
IEEE DOI 1304
BibRef

Canini, L.[Luca], Benini, S.[Sergio], Migliorati, P.[Pierangelo], Leonardi, R.[Riccardo],
Emotional identity of movies,
ICIP09(1821-1824).
IEEE DOI 0911
BibRef

Sakr, G.E., Elhajj, I.H., Huijer, H.A.S.,
Support Vector Machines to Define and Detect Agitation Transition,
AffCom(1), No. 2, July-December 2010, pp. 98-108.
IEEE DOI 1202
BibRef

Fleureau, J.[Julien], Guillotel, P.[Philippe], Huynh-Thu, Q.[Quan],
Physiological-Based Affect Event Detector for Entertainment Video Applications,
AffCom(3), No. 3, 2012, pp. 379-385.
IEEE DOI 1210
BibRef

Nguyen, L.S., Frauendorfer, D., Mast, M.S., Gatica-Perez, D.,
Hire me: Computational Inference of Hirability in Employment Interviews Based on Nonverbal Behavior,
MultMed(16), No. 4, June 2014, pp. 1018-1031.
IEEE DOI 1407
Employment BibRef

Zhang, Y.[Yi], Li, L.[Ling],
A Personality Model Based on NEO PI-R for Emotion Simulation,
IEICE(E97-D), No. 8, August 2014, pp. 2000-2007.
WWW Link. 1408
BibRef

Scherer, S.[Stefan], Stratou, G.[Giota], Lucas, G.[Gale], Mahmoud, M.[Marwa], Boberg, J.[Jill], Gratch, J.[Jonathan], Rizzo, A.S.[Albert Skip], Morency, L.P.[Louis-Philippe],
Automatic audiovisual behavior descriptors for psychological disorder analysis,
IVC(32), No. 10, 2014, pp. 648-658.
Elsevier DOI 1410
BibRef
Earlier: A1, A2, A4, A5, A6, A7, A8, Only:
Automatic behavior descriptors for psychological disorder analysis,
FG13(1-8)
IEEE DOI 1309
Award, FG. emotion recognition. Psychological distress BibRef

Gratch, J., Cheng, L.[Lin], Marsella, S., Boberg, J.[Jill],
Felt emotion and social context determine the intensity of smiles in a competitive video game,
FG13(1-8)
IEEE DOI 1309
computer games BibRef

Lam, K.Y.[Kam-Yiu], Wang, J.T.[Jian-Tao], Ng, J.K.Y., Han, S.[Song], Zheng, L.M.[Li-Mei], Kam, C.H.C., Zhu, C.J.[Chun Jiang],
SmartMood: Toward Pervasive Mood Tracking and Analysis for Manic Episode Detection,
HMS(45), No. 1, February 2015, pp. 126-131.
IEEE DOI 1502
biomedical telemetry BibRef

Katsimerou, C., Heynderickx, I., Redi, J.A.,
Predicting Mood from Punctual Emotion Annotations on Videos,
AffCom(6), No. 2, April 2015, pp. 179-192.
IEEE DOI 1507
emotion recognition BibRef

Khan, M.M., Ward, R.D., Ingleby, M.,
Toward Use of Facial Thermal Features in Dynamic Assessment of Affect and Arousal Level,
AffCom(8), No. 3, July 2017, pp. 412-425.
IEEE DOI 1709
Encoding, Extraterrestrial measurements, Facial muscles, Skin, Temperature measurement, Visualization, Affect-aware agents, affect arousal assessment, affect classification, human-robot, interaction BibRef

Lucas, G.M.[Gale M.], Gratch, J.[Jonathan], Malandrakis, N.[Nikolaos], Szablowski, E.[Evan], Fessler, E.[Eli], Nichols, J.[Jeffrey],
GOAALLL!: Using sentiment in the world cup to explore theories of emotion,
IVC(65), No. 1, 2017, pp. 58-65.
Elsevier DOI 1709
Sentiment BibRef

Kossaifi, J.[Jean], Tzimiropoulos, G.[Georgios], Todorovic, S.[Sinisa], Pantic, M.[Maja],
AFEW-VA database for valence and arousal estimation in-the-wild,
IVC(65), No. 1, 2017, pp. 23-36.
Elsevier DOI 1709
Continuous, affect, estimation, in-the-wild BibRef

Han, J.[Jing], Zhang, Z.X.[Zi-Xing], Cummins, N.[Nicholas], Ringeval, F.[Fabien], Schuller, B.[Björn],
Strength modelling for real-worldautomatic continuous affect recognition from audiovisual signals,
IVC(65), No. 1, 2017, pp. 76-86.
Elsevier DOI 1709
Strength modelling BibRef

Han, J.[Jing], Zhang, Z.X.[Zi-Xing], Ren, Z.[Zhao], Schuller, B.[Björn],
EmoBed: Strengthening Monomodal Emotion Recognition via Training with Crossmodal Emotion Embeddings,
AffCom(12), No. 3, July 2021, pp. 553-564.
IEEE DOI 2109
Emotion recognition, Training, Task analysis, Visualization, Robustness, Knowledge engineering, Speech recognition, triplet loss BibRef

Subramanian, R., Wache, J., Abadi, M.K., Vieriu, R.L., Winkler, S., Sebe, N.,
ASCERTAIN: Emotion and Personality Recognition Using Commercial Sensors,
AffCom(9), No. 2, April 2018, pp. 147-160.
IEEE DOI 1806
Correlation, Databases, Emotion recognition, Physiology, Sensors, Speech recognition, Videos, Emotion and personality recognition, physiological signals BibRef

Meza-de-Luna, M.E., Terven, J.R., Raducanu, B., Salas, J.,
Assessing the Influence of Mirroring on the Perception of Professional Competence Using Wearable Technology,
AffCom(9), No. 2, April 2018, pp. 161-175.
IEEE DOI 1806
Bridges, Cameras, Head, Interviews, Psychology, Real-time systems, Mirroring, competence, nodding, perception, wearable technology BibRef

Naim, I., Tanveer, M.I., Gildea, D., Hoque, M.E.,
Automated Analysis and Prediction of Job Interview Performance,
AffCom(9), No. 2, April 2018, pp. 191-204.
IEEE DOI 1806
Context, Feature extraction, Interviews, Robots, Videos, YouTube, Nonverbal behavior prediction, job interviews, regression BibRef

Ali, M.R., Sen, T., Crasta, D., Nguyen, V.D., Rogge, R., Hoque, M.E.,
The What, When, and Why of Facial Expressions: An Objective Analysis of Conversational Skills in Speed-Dating Videos,
FG18(203-209)
IEEE DOI 1806
Correlation, Feature extraction, Lips, Psychology, Tools, Videos, conversational skills, facial expressions, speed-date BibRef

Gorbova, J., Avots, E., Lüsi, I., Fishel, M., Escalera, S., Anbarjafari, G.,
Integrating Vision and Language for First-Impression Personality Analysis,
MultMedMag(25), No. 2, April 2018, pp. 24-33.
IEEE DOI 1808
Feature extraction, Emotion recognition, Audio-visual systems, Databases, ubiquitous computing, pervasive computing, personality analysis BibRef

Junior, J.C.S.J.[Julio C. S. Jacques], Güçlütürk, Y.[Yagmur], Pérez, M.[Marc], Güçlü, U.[Umut], Andujar, C.[Carlos], Baró, X.[Xavier], Escalante, H.J.[Hugo Jair], Guyon, I.[Isabelle], van Gerven, M.A.J.[Marcel A. J.], van Lier, R.[Rob], Escalera, S.[Sergio],
First Impressions: A Survey on Vision-Based Apparent Personality Trait Analysis,
AffCom(13), No. 1, January 2022, pp. 75-95.
IEEE DOI 2203
Psychology, Computational modeling, Observers, Visualization, Cognition, Personality computing, firs impressions, multi-modal recognition BibRef

Güçlütürk, Y.[Yagmur], Güçlü, U.[Umut], Baró, X., Escalante, H.J., Guyon, I., Escalera, S., van Gerven, M.A.J.[Marcel A. J.], van Lier, R.[Rob],
Multimodal First Impression Analysis with Deep Residual Networks,
AffCom(9), No. 3, July 2018, pp. 316-329.
IEEE DOI 1809
Interviews, Feature extraction, Predictive models, Machine learning, Face, YouTube, Big Five personality traits, multimodal BibRef

Güçlütürk, Y.[Yagmur], Güçlü, U.[Umut], van Gerven, M.A.J.[Marcel A. J.], van Lier, R.[Rob],
Deep Impression: Audiovisual Deep Residual Networks for Multimodal Apparent Personality Trait Recognition,
ChaLearn16(III: 349-358).
Springer DOI 1611
BibRef

Güçlütürk, Y.[Yagmur], Güçlü, U.[Umut], Pérez, M., Escalante, H.J., Baró, X., Andujar, C., Guyon, I., Junior, J.J., Madadi, M., Escalera, S., van Gerven, M.A.J.[Marcel A. J.], van Lier, R.[Rob],
Visualizing Apparent Personality Analysis with Deep Residual Networks,
EmotionComp17(3101-3109)
IEEE DOI 1802
Analytical models, Data models, Interviews, Predictive models, Videos, Visualization BibRef

Wei, X.S.[Xiu-Shen], Zhang, C.L.[Chen-Lin], Zhang, H.[Hao], Wu, J.X.[Jian-Xin],
Deep Bimodal Regression of Apparent Personality Traits from Short Video Sequences,
AffCom(9), No. 3, July 2018, pp. 303-315.
IEEE DOI 1809
BibRef
Earlier: A2, A3, A1, A4:
Deep Bimodal Regression for Apparent Personality Analysis,
ChaLearn16(III: 311-324).
Springer DOI 1611
Visualization, Distributed Bragg reflectors, Machine learning, Convolution, Video sequences, Computational modeling, regression BibRef

Basu, A., Dasgupta, A., Thyagharajan, A., Routray, A., Guha, R., Mitra, P.,
A Portable Personality Recognizer Based on Affective State Classification Using Spectral Fusion of Features,
AffCom(9), No. 3, July 2018, pp. 330-342.
IEEE DOI 1809
Hidden Markov models, Emotion recognition, Biological system modeling, Feature extraction, Brain modeling, HMM BibRef

Asabere, N.Y., Acakpovi, A., Michael, M.B.,
Improving Socially-Aware Recommendation Accuracy Through Personality,
AffCom(9), No. 3, July 2018, pp. 351-361.
IEEE DOI 1809
Recommender systems, Social network services, Collaboration, Reliability, Face, Cold-start, hybrid, personality, social ties BibRef

López-Cuevas, A., Medina-Pérez, M.A., Monroy, R., Ramírez-Márquez, J.E., Trejo, L.A.,
FiToViz: A Visualisation Approach for Real-Time Risk Situation Awareness,
AffCom(9), No. 3, July 2018, pp. 372-382.
IEEE DOI 1809
Visualization, Data visualization, Biomedical monitoring, Real-time systems, Wearable sensors, Monitoring, IoT BibRef

Zhou, J., Arshad, S.Z., Wang, X., Li, Z., Feng, D., Chen, F.,
End-User Development for Interactive Data Analytics: Uncertainty, Correlation and User Confidence,
AffCom(9), No. 3, July 2018, pp. 383-395.
IEEE DOI 1809
Uncertainty, Decision making, Data analysis, Correlation, Human computer interaction, Skin, Correlation, decision making, user confidence BibRef

Huang, X., Dhall, A., Goecke, R., Pietikäinen, M., Zhao, G.,
Multimodal Framework for Analyzing the Affect of a Group of People,
MultMed(20), No. 10, October 2018, pp. 2706-2721.
IEEE DOI 1810
emotion recognition, face recognition, feature extraction, Internet, learning (artificial intelligence), Multi-modality BibRef

Oveneke, M.C., Gonzalez, I., Enescu, V., Jiang, D., Sahli, H.,
Leveraging the Bayesian Filtering Paradigm for Vision-Based Facial Affective State Estimation,
AffCom(9), No. 4, October 2018, pp. 463-477.
IEEE DOI 1812
State estimation, Psychology, Bayes methods, Affective computing, Facial muscles, Kalman filters, Gaussian processes, Kalman filtering BibRef

Zhu, H.C.[Han-Cheng], Li, L.[Leida], Zhao, S.C.[Si-Cheng], Jiang, H.Y.[Hong-Yan],
Evaluating attributed personality traits from scene perception probability,
PRL(116), 2018, pp. 121-126.
Elsevier DOI 1812
Personality prediction, Attributed personality traits, Scene perception probability, Convolutional neural network BibRef

Gao, N., Shao, W., Salim, F.D.,
Predicting Personality Traits From Physical Activity Intensity,
Computer(52), No. 7, July 2019, pp. 47-56.
IEEE DOI 1907
Accelerometers, Entropy, Mobile handsets, Dispersion, Sensors, Feature extraction BibRef

Dhahri, C.[Chaima], Matsumoto, K.[Kazunori], Hoashi, K.[Keiichiro],
Upcoming Mood Prediction Using Public Online Social Networks Data: Analysis over Cyber-Social-Physical Dimension,
IEICE(E102-D), No. 9, September 2019, pp. 1625-1634.
WWW Link. 1909
BibRef

Abouelenien, M.[Mohamed], Burzo, M.[Mihai], Pérez-Rosas, V.[Verónica], Mihalcea, R.[Rada], Sun, H.T.[Hai-Tian], Zhao, B.[Bohan],
Gender Differences in Multimodal Contact-Free Deception Detection,
MultMedMag(26), No. 3, July 2019, pp. 19-30.
IEEE DOI 1909
automatic lie detection. Feature extraction, Linguistics, Visualization, Cameras, Thermal sensors, Gender issues, Thermal analysis BibRef

Anselmi, F.[Fabio], Noceti, N.[Nicoletta], Rosasco, L.[Lorenzo], Ward, R.[Robert],
Genuine Personality Recognition from Highly Constrained Face Images,
CIAP19(I:421-431).
Springer DOI 1909
BibRef

Celiktutan, O., Skordos, E., Gunes, H.,
Multimodal Human-Human-Robot Interactions (MHHRI) Dataset for Studying Personality and Engagement,
AffCom(10), No. 4, October 2019, pp. 484-497.
IEEE DOI 1912
Databases, Classification algorithms, Robots, Microphones, Sensors, Magnetic heads, Human-robot interaction, benchmarking BibRef

Halim, Z., Atif, M., Rashid, A., Edwin, C.A.,
Profiling Players Using Real-World Datasets: Clustering the Data and Correlating the Results with the Big-Five Personality Traits,
AffCom(10), No. 4, October 2019, pp. 568-584.
IEEE DOI 1912
Predictive models, Clustering methods, Games, Virutal environments, Benchmark testing, Profiling players, personality prediction, dispositional theory BibRef

Carbonneau, M., Granger, E., Attabi, Y., Gagnon, G.,
Feature Learning from Spectrograms for Assessment of Personality Traits,
AffCom(11), No. 1, January 2020, pp. 25-31.
IEEE DOI 2003
Feature extraction, Spectrogram, Speech, Speech recognition, Algorithm design and analysis, Image recognition, acoustic and prosodic modeling BibRef

Zhang, L., Bhattacharya, I., Morgan, M., Foley, M., Riedl, C., Welles, B.F., Radke, R.J.,
Multiparty Visual Co-Occurrences for Estimating Personality Traits in Group Meetings,
WACV20(2074-2083)
IEEE DOI 2006
Visualization, Feature extraction, Videos, Task analysis, Cameras, Prediction algorithms, Correlation BibRef

Annalyn, N., Bos, M.W., Sigal, L., Li, B.,
Predicting Personality from Book Preferences with User-Generated Content Labels,
AffCom(11), No. 3, July 2020, pp. 482-492.
IEEE DOI 2008
Facebook, Psychology, Data collection, User-generated content, Robustness, Personality profiling, narrative preferences, behavioral footprints BibRef

Awachar, S.A.[Sandeep A.], Ingole, P.V.[Prashant V.],
Development of NN classifier for recognition of human moods,
IJCVR(10), No. 5, 2020, pp. 412-425.
DOI Link 2009
BibRef

Li, Y.N.[Yu-Nan], Wan, J.[Jun], Miao, Q.G.[Qi-Guang], Escalera, S.[Sergio], Fang, H.J.[Hui-Juan], Chen, H.Z.[Hui-Zhou], Qi, X.D.[Xiang-Da], Guo, G.D.[Guo-Dong],
CR-Net: A Deep Classification-Regression Network for Multimodal Apparent Personality Analysis,
IJCV(128), No. 12, December 2020, pp. 2763-2780.
Springer DOI 2010
BibRef

Ramírez, G.[Gabriela], Villatoro, E.[Esaú], Ionescu, B.[Bogdan], Escalante, H.J.[Hugo Jair], Escalera, S.[Sergio], Larson, M.[Martha], Müller, H.[Henning], Guyon, I.[Isabelle],
Overview of the Multimedia Information Processing for Personality and Social Networks Analysis Contest,
MIPPSNA18(127-139).
Springer DOI 1901
BibRef

Chen, B.[Baiyu], Escalera, S.[Sergio], Guyon, I.[Isabelle], Ponce-López, V.[Víctor], Shah, N.[Nihar], Oliu Simón, M.[Marc],
Overcoming Calibration Problems in Pattern Labeling with Pairwise Ratings: Application to Personality Traits,
ChaLearn16(III: 419-432).
Springer DOI 1611
BibRef

Sun, X., Song, Y., Wang, M.,
Toward Sensing Emotions With Deep Visual Analysis: A Long-Term Psychological Modeling Approach,
MultMedMag(27), No. 4, October 2020, pp. 18-27.
IEEE DOI 2012
Computational modeling, Psychology, Data models, Feature extraction, Predictive models, Emotion recognition, Videos, Interpretable Psychological Model BibRef

He, C., Mahfouf, M., Torres-Salomao, L.A.,
An Adaptive General Type-2 Fuzzy Logic Approach for Psychophysiological State Modeling in Real-Time Human-Machine Interfaces,
HMS(51), No. 1, February 2021, pp. 1-11.
IEEE DOI 2101
Adaptation models, Brain modeling, Mathematical model, Data models, Temperature measurement, Predictive models, Real-time systems, type 2 fuzzy sets BibRef

Parnandi, A., Gutierrez-Osuna, R.,
Partial Reinforcement in Game Biofeedback for Relaxation Training,
AffCom(12), No. 1, January 2021, pp. 141-153.
IEEE DOI 2103
Biological control systems, Games, Stress, Training, Heart rate, Schedules, Task analysis, Biofeedback games, deep breathing, wearable sensors BibRef

Uddin, M.T.[Md Taufeeq], Canavan, S.[Shaun],
Quantified Facial Temporal-Expressiveness Dynamics for Affect Analysis,
ICPR21(3955-3962)
IEEE DOI 2105
Visualization, Pain, Heuristic algorithms, Face recognition, Data models, Task analysis, Monitoring BibRef

Miranda-Correa, J.A.[Juan Abdon], Abadi, M.K.[Mojtaba Khomami], Sebe, N.[Nicu], Patras, I.[Ioannis],
AMIGOS: A Dataset for Affect, Personality and Mood Research on Individuals and Groups,
AffCom(12), No. 2, April 2021, pp. 479-493.
IEEE DOI 2106
Dataset, Emotion. Videos, Databases, Mood, Physiology, Electroencephalography, Brain modeling, Electrocardiography, Emotion classification, EEG, affective computing BibRef

Zhao, J.H.[Jing-Hua], Zeng, D.L.[Da-Lin], Xiao, Y.J.[Yu-Jie], Che, L.P.[Li-Ping], Wang, M.J.[Meng-Jiao],
User personality prediction based on topic preference and sentiment analysis using LSTM model,
PRL(138), 2020, pp. 397-402.
Elsevier DOI 1806
Attention-based LSTM, LDA, Big-Five BibRef

Aslan, S.[Süleyman], Güdükbay, U.[Ugur], Dibeklioglu, H.[Hamdi],
Multimodal assessment of apparent personality using feature attention and error consistency constraint,
IVC(110), 2021, pp. 104163.
Elsevier DOI 2106
Deep learning, Apparent personality, Multimodal modeling, Information fusion, Feature attention, Error consistency BibRef

Moye, A.J.[Amir J.], van Vugt, M.K.[Marieke K.],
A Computational Model of Focused Attention Meditation and Its Transfer to a Sustained Attention Task,
AffCom(12), No. 2, April 2021, pp. 329-339.
IEEE DOI 2106
Computational modeling, Task analysis, Mood, Monitoring, Mathematical model, Predictive models, Appraisal, emotion regulation BibRef

Amini, R.[Reza], Boustani, M.[Maya], Lisetti, C.[Christine],
Modeling Rapport for Conversations About Health with Autonomous Avatars from Video Corpus of Clinician-Client Therapy Sessions,
DHM21(I:181-200).
Springer DOI 2108
BibRef

Principi, R.D.P.[Ricardo Darío Pérez], Palmero, C.[Cristina], Junior, J.C.S.J.[Julio C. S. Jacques], Escalera, S.[Sergio],
On the Effect of Observed Subject Biases in Apparent Personality Analysis From Audio-Visual Signals,
AffCom(12), No. 3, July 2021, pp. 607-621.
IEEE DOI 2109
Videos, Visualization, Feature extraction, Observers, Computational modeling, Deep learning, audio-visual recordings BibRef

Ranjbartabar, H.[Hedieh], Richards, D.[Deborah], Bilgin, A.A.[Ayse Aysin], Kutay, C.[Cat],
First Impressions Count! The Role of the Human's Emotional State on Rapport Established with an Empathic versus Neutral Virtual Therapist,
AffCom(12), No. 3, July 2021, pp. 788-800.
IEEE DOI 2109
Robots, Emotional responses, Medical treatment, Videos, Atmospheric measurements, Particle measurements, virtual therapist BibRef

Beyan, C.[Cigdem], Zunino, A.[Andrea], Shahid, M.[Muhammad], Murino, V.[Vittorio],
Personality Traits Classification Using Deep Visual Activity-Based Nonverbal Features of Key-Dynamic Images,
AffCom(12), No. 4, October 2021, pp. 1084-1099.
IEEE DOI 2112
Feature extraction, Dynamics, Heuristic algorithms, Visualization, Data mining, Image recognition, Optical imaging, personality traits classification BibRef

Bishay, M.[Mina], Palasek, P.[Petar], Priebe, S.[Stefan], Patras, I.[Ioannis],
SchiNet: Automatic Estimation of Symptoms of Schizophrenia from Facial Behaviour Analysis,
AffCom(12), No. 4, October 2021, pp. 949-961.
IEEE DOI 2112
Facial recognition, Feature extraction, Videos, Estimation, Training data, Behavioral sciences, Cameras, Schizophrenia, fisher vector BibRef

Cabrera-Quiros, L.[Laura], Gedik, E.[Ekin], Hung, H.[Hayley],
Multimodal Self-Assessed Personality Estimation During Crowded Mingle Scenarios Using Wearables Devices and Cameras,
AffCom(13), No. 1, January 2022, pp. 46-59.
IEEE DOI 2203
Estimation, Cameras, Acceleration, Feature extraction, Wearable sensors, Accelerometers, Personality, HEXACO BibRef

Tayarani, M.[Mohammad], Esposito, A.[Anna], Vinciarelli, A.[Alessandro],
What an 'Ehm' Leaks About You: Mapping Fillers into Personality Traits with Quantum Evolutionary Feature Selection Algorithms,
AffCom(13), No. 1, January 2022, pp. 108-121.
IEEE DOI 2203
Feature extraction, Task analysis, Evolutionary computation, Planning, Standards, Optimization, Machine learning algorithms, computational paralinguistics BibRef

Zhang, L.[Le], Peng, S.[Songyou], Winkler, S.[Stefan],
PersEmoN: A Deep Network for Joint Analysis of Apparent Personality, Emotion and Their Relationship,
AffCom(13), No. 1, January 2022, pp. 298-305.
IEEE DOI 2203
Face, Finite element analysis, Task analysis, Face recognition, Visualization, Affective computing, Training, Affective computing, deep learning BibRef

Nunnari, F.[Fabrizio], Heloir, A.[Alexis],
Rating Vs. Paired Comparison for the Judgment of Dominance on First Impressions,
AffCom(13), No. 1, January 2022, pp. 367-378.
IEEE DOI 2203
Correlation, Reliability, Computational modeling, Analytical models, Numerical models, Affective computing, Shape, personality trait BibRef

Sen, M.U.[M. Umut], Pérez-Rosas, V.[Verónica], Yanikoglu, B.A.[Berrin A.], Abouelenien, M.[Mohamed], Burzo, M.[Mihai], Mihalcea, R.[Rada],
Multimodal Deception Detection Using Real-Life Trial Data,
AffCom(13), No. 1, January 2022, pp. 306-319.
IEEE DOI 2203
Videos, Visualization, Feature extraction, Eyebrows, Linguistics, Acoustics, Real-life trial, deception detection, classification, linguistic BibRef

Gibson, J.[James], Atkins, D.C.[David C.], Creed, T.A.[Torrey A.], Imel, Z.[Zac], Georgiou, P.[Panayiotis], Narayanan, S.[Shrikanth],
Multi-Label Multi-Task Deep Learning for Behavioral Coding,
AffCom(13), No. 1, January 2022, pp. 508-518.
IEEE DOI 2203
Encoding, Medical treatment, Task analysis, Machine learning, Psychiatry, Neural networks, Indexes, Behavioral coding, multi-task learning BibRef

Parra, F.[Federico], Scherer, S.[Stefan], Benezeth, Y.[Yannick], Tsvetanova, P.[Plamena], Tereno, S.[Susana],
Development and Cross-Cultural Evaluation of a Scoring Algorithm for the Biometric Attachment Test: Overcoming the Challenges of Multimodal Fusion with 'Small Data',
AffCom(13), No. 1, January 2022, pp. 211-225.
IEEE DOI 2203
Psychology, Machine learning algorithms, Machine learning, Atmospheric measurements, Particle measurements, Physiology, high-dimensional BibRef

Escalante, H.J.[Hugo Jair], Kaya, H.[Heysem], Salah, A.A.[Albert Ali], Escalera, S.[Sergio], Güçlütürk, Y.[Yagmur], Güçlü, U.[Umut], Baró, X.[Xavier], Guyon, I.[Isabelle], Junior, J.C.S.J.[Julio C. S. Jacques], Madadi, M.[Meysam], Ayache, S.[Stephane], Viegas, E.[Evelyne], Gürpinar, F.[Furkan], Wicaksana, A.S.[Achmadnoer Sukma], Liem, C.C.S.[Cynthia C. S.], van Gerven, M.A.J.[Marcel A. J.], van Lier, R.[Rob],
Modeling, Recognizing, and Explaining Apparent Personality From Videos,
AffCom(13), No. 2, April 2022, pp. 894-911.
IEEE DOI 2206
Visualization, Interviews, Computational modeling, Videos, Face, Predictive models, Explainable computer vision, algorithmic accountability BibRef

Kumar, A.[Akshi], Sharma, K.[Kapil], Sharma, A.[Aditi],
MEmoR: A Multimodal Emotion Recognition using affective biomarkers for smart prediction of emotional health for people analytics in smart industries,
IVC(123), 2022, pp. 104483.
Elsevier DOI 2206
Affective computing, Visual analysis, Multi-model, Emotion recognition, E-IoT, Facial expression analysis BibRef

Israel, L.S.F.[Laura S. F.], Schönbrodt, F.D.[Felix D.],
Emotion Prediction with Weighted Appraisal Models: Towards Validating a Psychological Theory of Affect,
AffCom(13), No. 2, April 2022, pp. 604-615.
IEEE DOI 2206
Appraisal, Computational modeling, Predictive models, Prototypes, Prediction algorithms, Adaptation models, Data models, predictive models BibRef

Okada, T.[Takumu], Okamoto, S.[Shogo], Yamada, Y.[Yoji],
Affective Dynamics: Causality Modeling of Temporally Evolving Perceptual and Affective Responses,
AffCom(13), No. 2, April 2022, pp. 628-639.
IEEE DOI 2206
Mathematical model, Reactive power, Data models, Time series analysis, Brain modeling, Semantics, Granger causality BibRef

Hasani, B.[Behzad], Negi, P.S.[Pooran Singh], Mahoor, M.H.[Mohammad H.],
BReG-NeXt: Facial Affect Computing Using Adaptive Residual Networks With Bounded Gradient,
AffCom(13), No. 2, April 2022, pp. 1023-1036.
IEEE DOI 2206
Feature extraction, Face recognition, Training, Databases, Computational modeling, Visualization, Computer architecture, arousal BibRef

Li, W.Y.[Wen-Yu], Wu, C.P.[Cheng-Peng], Hu, X.[Xin], Chen, J.J.[Jing-Jing], Fu, S.[Shimin], Wang, F.[Fei], Zhang, D.[Dan],
Quantitative Personality Predictions From a Brief EEG Recording,
AffCom(13), No. 3, July 2022, pp. 1514-1527.
IEEE DOI 2209
Electroencephalography, Atmospheric measurements, Particle measurements, Brain modeling, Predictive models, predictive model BibRef

Zhao, Y.H.[Ying-Hui], Miao, D.[Danmin], Cai, Z.M.[Zhong-Min],
Reading Personality Preferences From Motion Patterns in Computer Mouse Operations,
AffCom(13), No. 3, July 2022, pp. 1619-1636.
IEEE DOI 2209
Mice, Task analysis, Trajectory, Kinematics, Psychology, Feature extraction, Cognition, Personality recognition, personality preferences BibRef

Mohammadi, G.[Gelareh], Vuilleumier, P.[Patrik],
A Multi-Componential Approach to Emotion Recognition and the Effect of Personality,
AffCom(13), No. 3, July 2022, pp. 1127-1139.
IEEE DOI 2209
Appraisal, Computational modeling, Solid modeling, Physiology, Correlation, Emotion recognition, Predictive models, Emotion, personality BibRef

Yadav, M.[Megha], Sakib, M.N.[Md Nazmus], Nirjhar, E.H.[Ehsanul Haque], Feng, K.[Kexin], Behzadan, A.H.[Amir H.], Chaspari, T.[Theodora],
Exploring Individual Differences of Public Speaking Anxiety in Real-Life and Virtual Presentations,
AffCom(13), No. 3, July 2022, pp. 1168-1182.
IEEE DOI 2209
Public speaking, Physiology, Training, Psychology, Task analysis, Particle measurements, individual differences BibRef

Araño, K.A.[Keith April], Gloor, P.[Peter], Orsenigo, C.[Carlotta], Vercellis, C.[Carlo],
'Emotions are the Great Captains of Our Lives': Measuring Moods Through the Power of Physiological and Environmental Sensing,
AffCom(13), No. 3, July 2022, pp. 1378-1389.
IEEE DOI 2209
Mood, Machine learning, Physiology, Intelligent sensors, Wearable sensors, Education, Machine learning, affective computing, affect sensing and analysis BibRef

Alibasa, M.J.[Muhammad Johan], Purwanto, R.W.[Rizka W.], Yacef, K.[Kalina], Glozier, N.[Nick], Calvo, R.A.[Rafael A.],
Doing and Feeling: Relationships Between Moods, Productivity and Task-Switching,
AffCom(13), No. 3, July 2022, pp. 1140-1154.
IEEE DOI 2209
Mood, Task analysis, Productivity, Tools, Stress, Switches, Facebook, Digital behaviour, mood detection, computer logs, task-switching BibRef

Spelt, H.A.A.[Hanne A. A.], Zhang, C.[Chao], Westerink, J.H.D.M.[Joyce H. D. M.], Ham, J.[Jaap], IJsselsteijn, W.A.[Wijnand A.],
Persuasion-Induced Physiology as Predictor of Persuasion Effectiveness,
AffCom(13), No. 3, July 2022, pp. 1593-1604.
IEEE DOI 2209
Physiology, Particle measurements, Atmospheric measurements, Psychology, Biomedical measurement, Sensitivity, modeling human emotion BibRef

Batliner, A.[Anton], Hantke, S.[Simone], Schuller, B.[Björn],
Ethics and Good Practice in Computational Paralinguistics,
AffCom(13), No. 3, July 2022, pp. 1236-1253.
IEEE DOI 2209
Ethics, Privacy, Data privacy, Medical services, Guidelines, Affective computing, Big Data, Computational paralinguistics, measure of goodness BibRef

Tellamekala, M.K.[Mani Kumar], Giesbrecht, T.[Timo], Valstar, M.[Michel],
Dimensional Affect Uncertainty Modelling for Apparent Personality Recognition,
AffCom(13), No. 4, October 2022, pp. 2144-2155.
IEEE DOI 2212
Uncertainty, Emotion recognition, Predictive models, Task analysis, Faces, Computational modeling, Face recognition, uncertainty modelling BibRef

Baki, P.[Pinar], Kaya, H.[Heysem], Çiftçi, E.[Elvan], Güleç, H.[Hüseyin], Salah, A.A.[Albert Ali],
A Multimodal Approach for Mania Level Prediction in Bipolar Disorder,
AffCom(13), No. 4, October 2022, pp. 2119-2131.
IEEE DOI 2212
Task analysis, Visualization, Depression, Behavioral sciences, Interviews, Feature extraction, Acoustics, Affective disorders, mania level prediction BibRef

Song, S.Y.[Si-Yang], Jaiswal, S.[Shashank], Sanchez, E.[Enrique], Tzimiropoulos, G.[Georgios], Shen, L.L.[Lin-Lin], Valstar, M.[Michel],
Self-Supervised Learning of Person-Specific Facial Dynamics for Automatic Personality Recognition,
AffCom(14), No. 1, January 2023, pp. 178-195.
IEEE DOI 2303
Task analysis, Psychology, Predictive models, Face recognition, Training, Machine learning, Faces, Automatic personality analysis, CNN weights representation BibRef

Song, S.Y.[Si-Yang], Shao, Z.L.[Zi-Long], Jaiswal, S.[Shashank], Shen, L.L.[Lin-Lin], Valstar, M.[Michel], Gunes, H.[Hatice],
Learning Person-Specific Cognition From Facial Reactions for Automatic Personality Recognition,
AffCom(14), No. 4, October 2023, pp. 3048-3065.
IEEE DOI 2312
BibRef

Tellamekala, M.K.[Mani Kumar], Giesbrecht, T.[Timo], Valstar, M.[Michel],
Apparent Personality Recognition from Uncertainty-Aware Facial Emotion Predictions using Conditional Latent Variable Models,
FG21(1-8)
IEEE DOI 2303
Emotion recognition, Uncertainty, Image recognition, Face recognition, Estimation, Gesture recognition, Predictive models BibRef

Tian, X.T.[Xue-Tao], Jing, L.P.[Li-Ping], Luo, F.[Fang], Zhang, S.[Sheng],
Shyness Trait Recognition for Schoolchildren via Multi-View Features of Online Writing,
AffCom(14), No. 1, January 2023, pp. 509-522.
IEEE DOI 2303
Writing, Psychology, Feature extraction, Text recognition, Physiology, Tools, Text mining, Shyness trait, multi-view learning BibRef

d'Mello, S.K.[Sidney K.], Booth, B.M.[Brandon M.],
Affect Detection From Wearables in the 'Real' Wild: Fact, Fantasy, or Somewhere In between?,
IEEE_Int_Sys(38), No. 1, January 2023, pp. 76-84.
IEEE DOI 2303
Measurement, Wearable computers, Government, Robustness, Intelligent systems, Testing BibRef

Pepa, L.[Lucia], Spalazzi, L.[Luca], Capecci, M.[Marianna], Ceravolo, M.G.[Maria Gabriella],
Automatic Emotion Recognition in Clinical Scenario: A Systematic Review of Methods,
AffCom(14), No. 2, April 2023, pp. 1675-1695.
IEEE DOI 2306
Emotion recognition, Pathology, Systematics, Diseases, Tools, Protocols, Guidelines, Emotion recognition, clinical applications, artificial intelligence BibRef

Lin, W.Z.[Wei-Zhe], Orton, I.[Indigo], Li, Q.[Qingbiao], Pavarini, G.[Gabriela], Mahmoud, M.[Marwa],
Looking at the Body: Automatic Analysis of Body Gestures and Self-Adaptors in Psychological Distress,
AffCom(14), No. 2, April 2023, pp. 1175-1187.
IEEE DOI 2306
Psychology, Depression, Feature extraction, Interviews, Videos, Task analysis, Histograms, Self-adaptors, fidgeting, behavioural sensing BibRef

Hemamou, L.[Léo], Guillon, A.[Arthur], Martin, J.C.[Jean-Claude], Clavel, C.[Chloé],
Multimodal Hierarchical Attention Neural Network: Looking for Candidates Behaviour Which Impact Recruiter's Decision,
AffCom(14), No. 2, April 2023, pp. 969-985.
IEEE DOI 2306
Interviews, Databases, Face recognition, Feature extraction, Visualization, Neural networks, Deep learning, Nonverbal signals, interpretability BibRef

Yang, H.C.[Hao-Chun], Lee, C.C.[Chi-Chun],
A Media-Guided Attentive Graphical Network for Personality Recognition Using Physiology,
AffCom(14), No. 2, April 2023, pp. 931-943.
IEEE DOI 2306
Brain modeling, Physiology, Videos, Media, Computational modeling, Biomedical monitoring, Emotion recognition, graph neural network BibRef

Miri, P.[Pardis], Margarit, H.[Horia], Uusberg, A.[Andero], Marzullo, K.[Keith], Ball, T.M.[Tali M.], Yamins, D.[Daniel], Flory, R.[Robert], Gross, J.J.[James J.],
Challenges in Evaluating Technological Interventions for Affect Regulation,
AffCom(14), No. 3, July 2023, pp. 2430-2442.
IEEE DOI 2310
BibRef

Kovacevic, N.[Nikola], Holz, C.[Christian], Günther, T.[Tobias], Gross, M.[Markus], Wampfler, R.[Rafael],
Personality Trait Recognition Based on Smartphone Typing Characteristics in the Wild,
AffCom(14), No. 4, October 2023, pp. 3207-3217.
IEEE DOI 2312
BibRef

Liu, Y.[Yang], Zhang, X.M.[Xing-Ming], Li, Y.[Yante], Zhou, J.Z.[Jin-Zhao], Li, X.[Xin], Zhao, G.Y.[Guo-Ying],
Graph-Based Facial Affect Analysis: A Review,
AffCom(14), No. 4, October 2023, pp. 2657-2677.
IEEE DOI 2312
BibRef

CAN, Y.S.[Yekta Said], ERSOY, C.[Cem],
Smart Affect Monitoring With Wearables in the Wild: An Unobtrusive Mood-Aware Emotion Recognition System,
AffCom(14), No. 4, October 2023, pp. 2851-2863.
IEEE DOI 2312
BibRef

He, Y.H.[Yu-Hao], Zhao, Q.[Qianlong], Sun, S.[Shanqi], Li, W.J.[Wen-Jing], Qiu, W.[Waishan],
Measuring the Spatial-Temporal Heterogeneity of Helplessness Sentiment and Its Built Environment Determinants during the COVID-19 Quarantines: A Case Study in Shanghai,
IJGI(13), No. 4, 2024, pp. 112.
DOI Link 2405
BibRef

Chen, L.P.[Li-Ping], Wu, Y.L.[Yi-Lin], Li, Q.[Qiudan], Song, Y.X.[Yu-Xuan], Yuan, C.Y.[Chen-Yu], Zeng, D.[Daniel],
Mining the User's Personality With an Attention-Based Label Prompt Method,
IEEE_Int_Sys(39), No. 2, March 2024, pp. 31-39.
IEEE DOI 2405
Semantics, Writing, Predictive models, Artificial intelligence, Feature extraction, Task analysis, Intelligent systems, Behavioral sciences BibRef

Freihaut, P.[Paul], Göritz, A.S.[Anja S.],
Show me How You Use Your Mouse and I Tell You How You Feel? Sensing Affect With the Computer Mouse,
AffCom(15), No. 3, July 2024, pp. 1490-1501.
IEEE DOI 2409
Mice, Task analysis, Data collection, Behavioral sciences, Sensors, Remuneration, Affective computing, Affective computing, affect, nonverbal signals BibRef

Ghassemi, S.[Sina], Zhang, T.Y.[Tian-Yi], van Breda, W.[Ward], Koutsoumpis, A.[Antonis], Oostrom, J.K.[Janneke K.], Holtrop, D.[Djurre], de Vries, R.E.[Reinout E.],
Unsupervised Multimodal Learning for Dependency-Free Personality Recognition,
AffCom(15), No. 3, July 2024, pp. 1053-1066.
IEEE DOI 2409
Feature extraction, Training, Visualization, Annotations, Testing, Prediction algorithms, Deep learning, Personality assessment, generalization performance BibRef

Zhang, T.Y.[Tian-Yi], Koutsoumpis, A.[Antonis], Oostrom, J.K.[Janneke K.], Holtrop, D.[Djurre], Ghassemi, S.[Sina], de Vries, R.E.[Reinout E.],
Can Large Language Models Assess Personality From Asynchronous Video Interviews? A Comprehensive Evaluation of Validity, Reliability, Fairness, and Rating Patterns,
AffCom(15), No. 3, July 2024, pp. 1769-1785.
IEEE DOI 2409
Interviews, Task analysis, Reliability, Affective computing, Psychology, Analytical models, Computational modeling, personnel selection BibRef

Romeo, L.[Luca], Olugbade, T.[Temitayo], Pontil, M.[Massimiliano], Bianchi-Berthouze, N.[Nadia],
Multi-Rater Consensus Learning for Modeling Multiple Sparse Ratings of Affective Behaviour,
AffCom(15), No. 3, July 2024, pp. 859-871.
IEEE DOI 2409
Annotations, Hidden Markov models, Pain, Computational modeling, Data models, Standards, Task analysis, Body expressions, sparse raters ratings BibRef

Ryumina, E.[Elena], Markitantov, M.[Maxim], Ryumin, D.[Dmitry], Karpov, A.[Alexey],
Gated Siamese Fusion Network based on multimodal deep and hand-crafted features for personality traits assessment,
PRL(185), 2024, pp. 45-51.
Elsevier DOI 2410
Deep learning, Multimodal paralinguistics, Multimodal gated fusion, Hand-crafted and deep features, Affective computing BibRef

Savchenko, A.V.[Andrey V.],
Leveraging Pre-trained Multi-task Deep Models for Trustworthy Facial Analysis in Affective Behaviour Analysis in-the-Wild,
ABAW24(4703-4712)
IEEE DOI 2410
Training, Analytical models, Correlation, Electromagnetic interference, Estimation, Predictive models, HSEmotion library BibRef

Li, X.Y.[Xin-Yu], Mahmoud, M.[Marwa],
Unlocking the Black Box: Concept-Based Modeling for Interpretable Affective Computing Applications,
FG24(1-10)
IEEE DOI 2408
Training, Affective computing, Emotion recognition, Uncertainty, Computational modeling, Face recognition, Closed box BibRef

Hu, G.[Guanyu], Papadopoulou, E.[Eleni], Kollias, D.[Dimitrios], Tzouveli, P.[Paraskevi], Wei, J.[Jie], Yang, X.Y.[Xin-Yu],
Bridging the Gap: Protocol Towards Fair and Consistent Affect Analysis,
FG24(1-9)
IEEE DOI Code:
WWW Link. 2408
Analytical models, Solid modeling, Protocols, Machine learning algorithms, Databases, Psychology, Machine learning BibRef

Hwang, Y.[Yewon], Kim, J.H.[Jong-Hwan],
EASUM: Enhancing Affective State Understanding through Joint Sentiment and Emotion Modeling for Multimodal Tasks,
WACV24(5656-5666)
IEEE DOI 2404
Training, Measurement, Sentiment analysis, Emotion recognition, Benchmark testing, Predictive models, Data models, Algorithms, Psychology and cognitive science BibRef

Guo, X.B.[Xiao-Bao], Selvaraj, N.M.[Nithish Muthuchamy], Yu, Z.T.[Zi-Tong], Kong, A.W.K.[Adams Wai-Kin], Shen, B.Q.[Bing-Quan], Kot, A.[Alex],
Audio-Visual Deception Detection: DOLOS Dataset and Parameter-Efficient Crossmodal Learning,
ICCV23(22078-22088)
IEEE DOI 2401
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Dinges, L.[Laslo], Fiedler, M.A.[Marc-André], Al-Hamadi, A.[Ayoub], Abdelrahman, A.[Ahmed], Weimann, J.[Joachim], Bershadskyy, D.[Dmitri],
Uncovering Lies: Deception Detection in a Rolling-dice Experiment,
CIAP23(I:293-303).
Springer DOI 2312
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Yang, S.[Shuo], Bao, Y.[Yongtang], Qi, Y.[Yue],
Local Context and Dimensional Relation Aware Transformer Network for Continuous Affect Estimation,
ICIP23(1315-1319)
IEEE DOI 2312
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Liu, X.L.[Xiao-Long], Sun, L.[Lei], Jiang, W.Q.[Wen-Qiang], Zhang, F.Y.[Feng-Yuan], Deng, Y.Y.[Yuan-Yuan], Huang, Z.[Zhaopei], Meng, L.[Liyu], Liu, Y.C.[Yu-Chen], Liu, C.[Chuanhe],
EVAEF: Ensemble Valence-Arousal Estimation Framework in the Wild,
ABAW23(5863-5871)
IEEE DOI 2309
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Zhang, Z.Y.[Zi-Yang], An, L.[Liuwei], Cui, Z.[Zishun], Xu, A.[Ao], Dong, T.[Tengteng], Jiang, Y.[Yueqi], Shi, J.Y.[Jing-Yi], Liu, X.[Xin], Sun, X.[Xiao], Wang, M.[Meng],
ABAW5 Challenge: A Facial Affect Recognition Approach Utilizing Transformer Encoder and Audiovisual Fusion,
ABAW23(5725-5734)
IEEE DOI 2309
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Zhang, W.[Wei], Ma, B.[Bowen], Qiu, F.[Feng], Ding, Y.[Yu],
Multi-modal Facial Affective Analysis based on Masked Autoencoder,
ABAW23(5793-5802)
IEEE DOI 2309
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Song, S.Y.[Si-Yang], Luo, Y.M.[Yi-Ming], Ronca, V.[Vincenzo], Borghini, G.[Gianluca], Sagha, H.[Hesam], Rick, V.[Vera], Mertens, A.[Alexander], Gunes, H.[Hatice],
Deep Learning-based Assessment of Facial Periodic Affect in Work-like Settings,
PeopleAn22(307-322).
Springer DOI 2304
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Tanaka, H.[Hiroki], Saga, T.[Takeshi], Iwauchi, K.[Kota], Nakamura, S.[Satoshi],
Acceptability and Trustworthiness of Virtual Agents by Effects of Theory of Mind and Social Skills Training,
FG23(1-7)
IEEE DOI 2303
Training, Face recognition, Buildings, Gesture recognition, Particle measurements, Task analysis BibRef

Peng, K.[Kunyu], Roitberg, A.[Alina], Schneider, D.[David], Koulakis, M.[Marios], Yang, K.L.[Kai-Lun], Stiefelhagen, R.[Rainer],
Affect-DML: Context-Aware One-Shot Recognition of Human Affect using Deep Metric Learning,
FG21(1-8)
IEEE DOI 2303
Measurement, Training, Emotion recognition, Adaptation models, Face recognition, Semantics, Psychology BibRef

Moreira, G.[Gonçalo], Graça, A.[André], Silva, B.[Bruno], Martins, P.[Pedro], Batista, J.[Jorge],
Neuromorphic Event-based Face Identity Recognition,
ICPR22(922-929)
IEEE DOI 2212
Visualization, Neuromorphics, Face recognition, Dynamics, Speech recognition, Vision sensors BibRef

Cecil-Xavier, A.[Aaron], Gupta, A.[Avinash], Kennison, S.[Shelia], Pirela-Cruz, M.[Miguel],
Effect of Personality Traits and Stressor Inducers on Users' Cognitive Load During Interactions with VR Environments,
VAMR22(I:153-164).
Springer DOI 2206
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Helm, D.[Daniel], Kampel, M.[Martin],
Single-Modal Video Analysis of Personality Traits using Low-Level Visual Features,
IPTA20(1-6)
IEEE DOI 2206
Training, Visualization, Image recognition, Video sequences, Computer architecture, Task analysis, Facial expression recognition BibRef

Feinland, J.[Jacob], Barkovitch, J.[Jacob], Lee, D.[Dokyu], Kaforey, A.[Alex], Ciftci, U.A.[Umur Aybars],
Poker Bluff Detection Dataset Based on Facial Analysis,
CIAP22(III:400-410).
Springer DOI 2205
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Zhu, Z.H.[Zhao-Hui], Kastner, M.A.[Marc A.], Satoh, S.[Shin'ichi],
On Assisting Diagnoses of Pareidolia by Emulating Patient Behavior,
MMMod22(I:299-310).
Springer DOI 2203
Expressed through visual illusions seen by patients. BibRef

Sun, X.[Xiao], Huang, J.[Jie], Zheng, S.X.[Shi-Xin], Rao, X.[Xuanheng], Wang, M.[Meng],
Personality Assessment Based on Multimodal Attention Network Learning With Category-Based Mean Square Error,
IP(31), 2022, pp. 2162-2174.
IEEE DOI 2203
Videos, Hidden Markov models, Face recognition, Predictive models, Data models, Faces, Psychology, Gaze distribution, category-based mean square error BibRef

Xu, X.L.[Xiao-Li], Lu, Y.[Yao], Lu, Z.W.[Zhi-Wu], Xiang, T.[Tao],
Vid2Int: Detecting Implicit Intention from Long Dialog Videos,
WACV21(3298-3307)
IEEE DOI 2106
Recurrent neural networks, Correlation, Annotations, Computational modeling, Benchmark testing BibRef

Dotti, D., Ghaleb, E., Asteriadis, S.,
Temporal Triplet Mining for Personality Recognition,
FG20(379-386)
IEEE DOI 2102
Skeleton, Measurement, Dynamics, Feature extraction, Training, Semantics, Data mining, deep metric learning, affective computing BibRef

King, S., Ebraheem, M., Zanna, K., Neal, T.,
Learning a Privacy-Preserving Global Feature Set for Mood Classification Using Smartphone Activity and Sensor Data,
FG20(582-586)
IEEE DOI 2102
Mood, Feature extraction, Biological system modeling, Entropy, Support vector machines, Predictive models BibRef

Yang, J.T., Liu, G.M., Huang, S.C.H.,
Emotion Transformation Feature: Novel Feature For Deception Detection In Videos,
ICIP20(1726-1730)
IEEE DOI 2011
Deception Detection, Machine Learning, Video, Limited Data, Emotion Recognition BibRef

Zhang, Y.H.[Yuan-Hang], Huang, R.L.[Ru-Lin], Zeng, J.B.[Jia-Bei], Shan, S.G.[Shi-Guang],
M3F: Multi-Modal Continuous Valence-Arousal Estimation in the Wild,
FG20(632-636)
IEEE DOI 2102
Feature extraction, Visualization, Videos, Training, Estimation, valence, spatio temporal CNN BibRef

Hu, Z.[Zheng], Liu, Y.S.[Yi-Shan], Zhang, C.H.[Chun-Hong], Xu, Y.N.[Ying-Nan],
The analysis of topic's personality traits using a new topic model,
ICIVC17(1079-1083)
IEEE DOI 1708
Learning systems, Silicon, big five personality, online social media, text mining, topic, model BibRef

Poulopoulos, V.[Vassilis], Vassilakis, C.[Costas], Antoniou, A.[Angela], Lepouras, G.[George], Wallace, M.[Manolis],
Personality Analysis of Social Media Influencers as a Tool for Cultural Institutions,
EuroMed18(I:236-247).
Springer DOI 1811
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Baur, T.[Tobias], Clausen, S.[Sina], Heimerl, A.[Alexander], Lingenfelser, F.[Florian], Lutz, W.[Wolfgang], André, E.[Elisabeth],
Nova: A Tool for Explanatory Multimodal Behavior Analysis and Its Application to Psychotherapy,
MMMod20(II:577-588).
Springer DOI 2003
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Gibellini, F.[Francesco], Higler, S.[Sebastiaan], Lucas, J.[Jan], Luli, M.[Migena], Stallmann, M.[Morris], Dotti, D.[Dario], Asteriadis, S.[Stylianos],
Towards Approximating Personality Cues Through Simple Daily Activities,
ACIVS20(192-204).
Springer DOI 2003
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Nomura, I.[Ikumi], Tatsuzawa, Y.[Yuri], Ojima, N.[Nobutoshi], Imai, T.[Takeo], Ogawa, K.[Keiko], Tsumura, N.[Norimichi],
Long-Term Face Image Analysis Based on Canonical Correlation Analysis on Physical and Psychological Evaluation of Face,
CCIW19(180-194).
Springer DOI 1905
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Lin, C.W.[Chih-Wei], Ding, Q.[Qilu],
Neuropsychiatric Disorders Identification Using Convolutional Neural Network,
MMMod19(II:315-327).
Springer DOI 1901
BibRef

Dotti, D., Popa, M., Asteriadis, S.,
Behavior and Personality Analysis in a Nonsocial Context Dataset,
Subjective18(2417-24178)
IEEE DOI 1812
Skeleton, Task analysis, Psychology, Feature extraction, Problem-solving, Computational modeling BibRef

Hu, G.S.[Guo-Sheng], Liu, L.[Li], Yuan, Y.[Yang], Yu, Z.[Zehao], Hua, Y.[Yang], Zhang, Z.H.[Zhi-Hong], Shen, F.M.[Fu-Min], Shao, L.[Ling], Hospedales, T.M.[Timothy M.], Robertson, N.[Neil], Yang, Y.X.[Yong-Xin],
Deep Multi-task Learning to Recognise Subtle Facial Expressions of Mental States,
ECCV18(XII: 106-123).
Springer DOI 1810
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Ghosh, S., Dhall, A., Sebe, N.,
Automatic Group Affect Analysis in Images via Visual Attribute and Feature Networks,
ICIP18(1967-1971)
IEEE DOI 1809
Databases, Face, Feature extraction, Pipelines, Mood, Training, Task analysis, Group level affect recognition BibRef

Heron, L., Kim, J., Lee, M., El Haddad, K., Dupont, S., Dutoit, T., Truong, K.,
A Dyadic Conversation Dataset on Moral Emotions,
FG18(687-691)
IEEE DOI 1806
Cameras, Databases, Ethics, Feature extraction, Media, Semantics, affective computing, dataset, dyadic interaction, non-verbal expressions BibRef

Carissimi, N., Beyan, C., Murino, V.,
A Multi-View Learning Approach to Deception Detection,
FG18(599-606)
IEEE DOI 1806
Encoding, Face, Feature extraction, Machine learning, Physiology, Support vector machines, Syntactics, Deception detection, social interactions BibRef

Bandini, A., Green, J.R., Taati, B., Orlandi, S., Zinman, L., Yunusova, Y.,
Automatic Detection of Amyotrophic Lateral Sclerosis (ALS) from Video-Based Analysis of Facial Movements: Speech and Non-Speech Tasks,
FG18(150-157)
IEEE DOI 1806
Diseases, Face, Feature extraction, Image color analysis, Lips, Task analysis, Tracking, Intel RealSense, facial kinematics BibRef

Sen, T., Hasan, M.K., Tran, M., Yang, Y., Hoque, M.E.,
Say CHEESE: Common Human Emotional Expression Set Encoder and Its Application to Analyze Deceptive Communication,
FG18(357-364)
IEEE DOI 1806
Dairy products, Face, Games, Lips, Mouth, Psychology, Video recording, clustering, deception, facial expression BibRef

McCurrie, M.[Mel], Beletti, F.[Fernando], Parzianello, L.[Lucas], Westendorp, A.[Allen], Anthony, S.[Samuel], Scheirer, W.J.[Walter J.],
Predicting First Impressions with Deep Learning,
FG17(518-525)
IEEE DOI 1707
BibRef
And: A1, A5, A6, Only: Demo: FG17(999-999)
IEEE DOI 1707
Model subjective judgments. Biometrics (access control), Computational modeling, Face, Predictive models, Psychology, Visualization. Automobiles, Computer architecture, Moon, Roads BibRef

Kaya, H., Gürpinar, F., Salah, A.A.,
Multi-modal Score Fusion and Decision Trees for Explainable Automatic Job Candidate Screening from Video CVs,
ChaLearnJob17(1651-1659)
IEEE DOI 1709
Decision trees, Face, Feature extraction, Interviews, Kernel, Training, Visualization BibRef

Bekhouche, S.E., Dornaika, F., Ouafi, A., Taleb-Ahmed, A.,
Personality Traits and Job Candidate Screening via Analyzing Facial Videos,
ChaLearnJob17(1660-1663)
IEEE DOI 1709
Estimation, Face, Feature extraction, Ground penetrating radar, Interviews, Video sequences, Videos BibRef

Wicaksana, A.S., Liem, C.C.S.,
Human-Explainable Features for Job Candidate Screening Prediction,
ChaLearnJob17(1664-1669)
IEEE DOI 1709
Face, Feature extraction, Gold, Lips, Predictive models, Principal component analysis, Video, recording BibRef

Gorbova, J., Lüsi, I., Litvin, A., Anbarjafari, G.,
Automated Screening of Job Candidate Based on Multimodal Video Processing,
ChaLearnJob17(1679-1685)
IEEE DOI 1709
Databases, Emotion recognition, Feature extraction, Interviews, Lips, Speech, Visualization BibRef

Kolouri, S., Martin, C.E., Hoffmann, H.,
Explaining Distributed Neural Activations via Unsupervised Learning,
ChaLearnJob17(1670-1678)
IEEE DOI 1709
Distributed databases, Feature extraction, Laboratories, Object detection, Semantics, Unsupervised learning, Visualization BibRef

Kumar, D., Wong, A., Taylor, G.W.,
Explaining the Unexplained: A CLass-Enhanced Attentive Response (CLEAR) Approach to Understanding Deep Neural Networks,
ChaLearnJob17(1686-1694)
IEEE DOI 1709
Convolution, Decision making, Heating systems, Image color analysis, Kernel, Neural networks, Visualization BibRef

Ithapu, V.K.,
Decoding the Deep: Exploring Class Hierarchies of Deep Representations Using Multiresolution Matrix Factorization,
ChaLearnJob17(1695-1704)
IEEE DOI 1709
Matrix decomposition, Multiresolution analysis, Principal component analysis, Semantics, Sparse matrices, Symmetric matrices, Tools BibRef

Ventura, C., Masip, D., Lapedriza, A.,
Interpreting CNN Models for Apparent Personality Trait Regression,
ChaLearnJob17(1705-1713)
IEEE DOI 1709
Computational modeling, Computer architecture, Databases, Distance measurement, Face, Training, Visualization BibRef

Laksana, E., Baltrušaitis, T., Morency, L.P., Pestian, J.P.,
Investigating Facial Behavior Indicators of Suicidal Ideation,
FG17(770-777)
IEEE DOI 1707
Acoustics, Feature extraction, Gold, Hospitals, Interviews, Medical diagnostic imaging, Visualization BibRef

Bhatia, S., Hayat, M., Breakspear, M., Parker, G., Goecke, R.,
A Video-Based Facial Behaviour Analysis Approach to Melancholia,
FG17(754-761)
IEEE DOI 1707
Affective computing, Australia, Magnetic heads, Mood, Reliability, Videos, Visualization BibRef

Rai, N.,
Bi-modal regression for Apparent Personality trait Recognition,
ICPR16(55-60)
IEEE DOI 1705
Acoustics, Computational modeling, Facial features, Feature extraction, Predictive models, Training, Visualization BibRef

Grant, E., Sahm, S., Zabihi, M., van Gerven, M.,
Predicting and visualizing psychological attributions with a deep neural network,
ICPR16(1-6)
IEEE DOI 1705
Correlation, Deconvolution, Face, Psychology, Standards, Support vector machines, Visualization BibRef

Gürpinar, F., Kaya, H., Salah, A.A.,
Multimodal fusion of audio, scene, and face features for first impression estimation,
ICPR16(43-48)
IEEE DOI 1705
Acoustics, Emotion recognition, Face, Feature extraction, Kernel, Training, Visualization BibRef

Zhang, H.W.[Huai-Wen], Zhang, J.M.[Jia-Ming], Sang, J.T.[Ji-Tao], Xu, C.S.[Chang-Sheng],
A Demo for Image-Based Personality Test,
MMMod17(II: 433-437).
Springer DOI 1701
BibRef

Yan, Y.[Yan], Nie, J.[Jie], Huang, L.[Lei], Li, Z.[Zhen], Cao, Q.L.[Qing-Lei], Wei, Z.Q.[Zhi-Qiang],
Exploring Relationship Between Face and Trustworthy Impression Using Mid-level Facial Features,
MMMod16(I: 540-549).
Springer DOI 1601
BibRef
Earlier:
Is Your First Impression Reliable? Trustworthy Analysis Using Facial Traits in Portraits,
MMMod15(II: 148-158).
Springer DOI 1501
BibRef

Dhall, A.[Abhinav], Hoey, J.[Jesse],
First Impressions: Predicting User Personality from Twitter Profile Images,
HBU16(148-158).
Springer DOI 1611
BibRef

Leo, M., Coco, M.D., Carcagni, P., Distante, C., Bernava, M., Pioggia, G., Palestra, G.,
Automatic Emotion Recognition in Robot-Children Interaction for ASD Treatment,
ACVR15(537-545)
IEEE DOI 1602
Emotion recognition BibRef

Ferwerda, B.[Bruce], Schedl, M.[Markus], Tkalcic, M.[Marko],
Using Instagram Picture Features to Predict Users' Personality,
MMMod16(I: 850-861).
Springer DOI 1601
BibRef

Celiktutan, O., Sariyanidi, E., Gunes, H.,
Let me tell you about your personality! -- Real-time personality prediction from nonverbal behavioural cues,
FG15(1-1)
IEEE DOI 1508
human-robot interaction BibRef

Zhao, H.[Huan], Yang, Z.Y.[Ze-Ying], Chen, Z.[Zuo], Zhang, X.X.[Xi-Xiang],
Automatic Chinese Personality Recognition Based on Prosodic Features,
MMMod15(I: 180-190).
Springer DOI 1501
BibRef

Sim, T.[Terence], Wei, J.[Jing], Ooi, W.T.[Wei Tsang],
What does computer vision say about face reading?,
ICIP14(1405-1409)
IEEE DOI 1502
Ancient Chinese practice that assesses a person's personality traits by applying a set of rules on facial features. No evidence to support this found. BibRef

Joshi, J.[Jyoti], Gunes, H.[Hatice], Goecke, R.[Roland],
Automatic Prediction of Perceived Traits Using Visual Cues under Varied Situational Context,
ICPR14(2855-2860)
IEEE DOI 1412
Personality traits. Computational modeling BibRef

Veenstra, A.[Arno], Hung, H.[Hayley],
Do they like me? Using video cues to predict desires during speed-dates,
SISM11(838-845).
IEEE DOI 1201
BibRef

Rojas Quiñones, M.[Mario], Masip, D.[David], Todorov, A.[Alexander], Vitria, J.[Jordi],
Automatic point-based facial trait judgments evaluation,
CVPR10(2715-2720).
IEEE DOI 1006
Personalities from facial traits. BibRef

Escalera, S.[Sergio], Martinez, R.M.[Rosa M.], Vitria, J.[Jordi], Radeva, P.I.[Petia I.], Anguera, M.T.[M. Teresa],
Dominance detection in face-to-face conversations,
CVPR4HB09(97-102).
IEEE DOI 0906
BibRef

Shreve, M.[Matthew], Jain, N.[Neeha], Goldgof, D.[Dmitry], Sarkar, S.[Sudeep], Kropatsch, W.[Walter], Tzou, C.H.J.[Chieh-Han John], Frey, M.[Manfred],
Evaluation of Facial Reconstructive Surgery on Patients with Facial Palsy Using Optical Strain,
CAIP11(I: 512-519).
Springer DOI 1109
BibRef

Chapter on Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Emotion Recognition Using EEG Analysis, Electroencephalogram .