The DOI matches its Crossref record; 31 of the 35 references it cites were found in a registry or an index.
Evidence for a three-factor theory of emotions
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“This model provides a comprehensive framework for capturing the complexity of human emotions using only three dimensional values, making it highly suitable for predicting player experiences in games.”
From Generating Game Levels by Defining Player Experiences (2024) · cites this paper as Russell and Mehrabian 1977
In the citing paper
“The PAD model describes emotions along three continuous dimensions: Pleasure (P), Arousal (A), and Dominance (D).”
From Generating Game Levels by Defining Player Experiences (2024) · cites this paper as Russell and Mehrabian 1977
In the citing paper
“Another popular approach is to place a particular emotion into a space having a limited set of dimensions [15], [16], [17]. These dimensions include valence (how pleasent or unpleasent a feeling is) activation2 (how likely is the person to take action under the emotional state) and control (the sense of control over the emotion).”
From Survey on RGB, 3D, Thermal, and Multimodal Approaches for Facial Expression Recognition: History, Trends, and Affect-Related Applications (2016) · cites this paper as [16]
Citations
Cites
Statistical principles in experimental design.
Winer, B. J. (1962) · McGraw-Hill Book Company · doi:10.1037/11774-000 · Cited by 27,137
(1970) · Cited by 24,983
Osgood, C. E., Suci, G. J., & Tannenbaum, P. H. (1957) · Cited by 9,433
(1974) · Medical Entomology and Zoology · Cited by 7,295
Self-citationConflict, arousal, and curiosity.
Berlyne, D. E. (1960) · McGraw-Hill Book Company · doi:10.1037/11164-000 · Cited by 6,018
The theory of the estimation of test reliability
Kuder, G. F., & Richardson, M. W. (1937) · Psychometrika · doi:10.1007/bf02288391 · Cited by 1,953
Linear models in decision making.
Dawes, R. M., & Corrigan, B. (1974) · Psychological Bulletin · doi:10.1037/h0037613 · Cited by 1,887
Cross-Cultural Universals of Affective Meaning
Carroll, J. B., Osgood, C. E., May, W. H., & Miron, M. S. (1976) · The American Journal of Psychology · doi:10.2307/1421762 · Cited by 1,154
Schlosberg, H. (1954) · Psychological Review · doi:10.1037/h0054570 · Cited by 1,096
(2007) · Springer eBooks · doi:10.1007/978-3-540-76516-5_4 · Cited by 792
Research works printed but not linked: 2
- Mehrabian, 1972, Nonverbal communication, Vol. 19
- Mehrabian, 1975, Environmental effects on affiliation among strangers, Humanitas, 11, 219
Cited by
Sorted by citations
Items 101–200 of 1,002
A multitrait-multimethod examination of affect structure: hedonic level and emotional intensity
Larsen, R. J., & Diener, E. (1985) · Personality and Individual Differences · doi:10.1016/0191-8869(85)90013-3 · Cited by 181
A Motivational Analysis of Emotion: Reflex-Cortex Connections
Lang, P. J., Bradley, M. M., & Cuthbert, B. N. (1992) · Psychological Science · doi:10.1111/j.1467-9280.1992.tb00255.x · Cited by 181
What determines a feeling's position in affective space? A case for appraisal
Scherer, K. R., Dan‐Glauser, E., & Flykt, A. (2006) · Cognition & Emotion · doi:10.1080/02699930500305016 · Cited by 187
Higuera-Trujillo, J. L., Llinares, C., & Macagno, E. R. (2021) · Sensors · doi:10.3390/s21062193 · Cited by 238
Fear conditioning, meaning, and belongingness: A selective association analysis.
Hamm, A. O., Vaitl, D., & Lang, P. J. (1989) · Journal of Abnormal Psychology · doi:10.1037//0021-843x.98.4.395 · Cited by 177
Figurative messages and affect in Twitter: Differences between #irony, #sarcasm and #not
Sulis, E., Farías, D. I. H., Rosso, P., Patti, V., & Ruffo, G. (2016) · Knowledge-Based Systems · doi:10.1016/j.knosys.2016.05.035 · Cited by 171
Evoked potential correlates of semantic meaning—A brain mapping study
Skrandies, W. (1998) · Cognitive Brain Research · doi:10.1016/s0926-6410(97)00033-5 · Cited by 170
EMuJoy: Software for continuous measurement of perceived emotions in music
Nagel, F., Kopiez, R., Grewe, O., & ALTENMÜLLER, E. O. (2007) · Behavior Research Methods · doi:10.3758/bf03193159 · Cited by 167
Physiological correlates of aesthetic perception of artworks in a museum.
Tschacher, W., Greenwood, S., Kirchberg, V., Wintzerith, S., van den Berg, K., & Tröndle, M. (2011) · Psychology of Aesthetics Creativity and the Arts · doi:10.1037/a0023845 · Cited by 175
Arousal and consumer in-store behavior
Groeppel‐Klein, A. (2005) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2005.06.012 · Cited by 170
Anger and time perception in children.
Gil, S., Niedenthal, P. M., & Droit‐Volet, S. (2007) · Emotion · doi:10.1037/1528-3542.7.1.219 · Cited by 166
Halbig, A., & Latoschik, M. E. (2021) · Frontiers in Virtual Reality · doi:10.3389/frvir.2021.694567 · Cited by 166
Customer Emotions in Service Robot Encounters: A Hybrid Machine-Human Intelligence Approach
Filieri, R., Lin, Z., Li, Y., Lu, X., & Yang, X. (2022) · Journal of Service Research · doi:10.1177/10946705221103937 · Cited by 170
Hartmann, P., & Apaolaza-Ibáñez, V. (2010) · Journal of Environmental Psychology · doi:10.1016/j.jenvp.2009.10.001 · Cited by 171
Interpretable Emotion Recognition Using EEG Signals
Qing, C., Qiao, R., Xu, X., & Cheng, Y. (2019) · IEEE Access · doi:10.1109/access.2019.2928691 · Cited by 162
BASIC TEMPERAMENT COMPONENTS OF LONELINESS, SHYNESS, AND CONFORMITY
Mehrabian, A., & Stefl, C. A. (1995) · Social Behavior and Personality An International Journal · doi:10.2224/sbp.1995.23.3.253 · Cited by 161
Self-citationEmotion‐processing deficit in alexithymia
Roedema, T. M., & Simons, R. F. (1999) · Psychophysiology · doi:10.1017/s0048577299980290 · Cited by 161
Emotional response to color across media
Suk, H., & Irtel, H. (2009) · Color Research & Application · doi:10.1002/col.20554 · Cited by 175
Huang, M., Ali, R., & Liao, J. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2017.05.015 · Cited by 159
Variations in the Circumplex Structure of Mood
Barrett, L. F. (1995) · Personality and Social Psychology Bulletin · doi:10.1177/0146167295218003 · Cited by 173
A broader conception of mood experience.
Mayer, J. D., Salovey, P., Gomberg-Kaufman, S., & Blainey, K. (1991) · Journal of Personality and Social Psychology · doi:10.1037//0022-3514.60.1.100 · Cited by 156
Recognition of Affect Based on Gait Patterns
Karg, M. E., Kühnlenz, K., & BUSS, M. J. (2010) · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) · doi:10.1109/tsmcb.2010.2044040 · Cited by 164
Human and computer recognition of facial expressions of emotion
Susskind, J., Littlewort, G. C., Bartlett, M. S., Movellan, J. R., & Anderson, A. K. (2006) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2006.05.001 · Cited by 162
Dominance and testosterone in women
Grant, V. J., & France, J. T. (2001) · Biological Psychology · doi:10.1016/s0301-0511(01)00100-4 · Cited by 160
Embodiment in Virtual Reality Intensifies Emotional Responses to Virtual Stimuli
Gall, D., Roth, D., Stauffert, J.-P., Zarges, J., & Latoschik, M. E. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.674179 · Cited by 185
Visualising Fragrances through Colours: The Mediating Role of Emotions
Schifferstein, H. N. J., & Tanudjaja, I. (2004) · Perception · doi:10.1068/p5132 · Cited by 167
Regret: A Theoretical and Conceptual Analysis
Landman, J. (1987) · Journal for the Theory of Social Behaviour · doi:10.1111/j.1468-5914.1987.tb00092.x · Cited by 151
Shuman, V., Sander, D., & Scherer, K. R. (2013) · Frontiers in Psychology · doi:10.3389/fpsyg.2013.00261 · Cited by 167
The Effects of Queue Structure on Attitudes
Rafaeli, A., Barron, G., & Haber, K. (2002) · Journal of Service Research · doi:10.1177/109467002237492 · Cited by 146
Learning, Memory and Personality
Eysenck, M. W. (1981) · Springer eBooks · doi:10.1007/978-3-642-67783-0_6 · Cited by 147
Individual emotion in work organizations
Rafaeli, A., & Worline, M. C. (2001) · Social Science Information · doi:10.1177/053901801040001006 · Cited by 147
Guidelines for Designing Computational Models of Emotions
Hudlická, E. (2011) · International Journal of Synthetic Emotions · doi:10.4018/jse.2011010103 · Cited by 152
A survey of affect recognition methods: audio, visual and spontaneous expressions
Zeng, Z., Pantic, M., Roisman, G. I., & Huang, T. S. (2007) · Proceedings of the 9th international conference on Multimodal interfaces · doi:10.1145/1322192.1322216 · Cited by 144
An Analysis of Annotated Corpora for Emotion Classification in Text
Bostan, L. A. M., & Klinger, R. (2018) · International Conference on Computational Linguistics · Cited by 145
Annotation and processing of continuous emotional attributes: Challenges and opportunities
Metallinou, A., & Narayanan, S. S. (2013) · International Conference on Automatic Face and Gesture Recognition · doi:10.1109/fg.2013.6553804 · Cited by 143
Emotional response patterns and sense of presence during video games
Ravaja, N., Salminen, M., Holopainen, J. P., Saari, T., Laarni, J., & Järvinen, A. (2004) · Nordic Conference on Human-Computer Interaction · doi:10.1145/1028014.1028068 · Cited by 142
The consequences of unmet needs: the evolving role of motivation in consumer research
Pincus, J. D. (2004) · Journal of Consumer Behaviour · doi:10.1002/cb.149 · Cited by 150
Toivonen, R., Kivelä, M., Saramäki, J., Viinikainen, M., Vanhatalo, M., & Sams, M. E. (2012) · PLoS ONE · doi:10.1371/journal.pone.0028883 · Cited by 142
Emotional imagery and physical anhedonia
FIORITO, E. R., & Simons, R. F. (1994) · Psychophysiology · doi:10.1111/j.1469-8986.1994.tb01055.x · Cited by 140
Frontal EEG Asymmetry and Middle Line Power Difference in Discrete Emotions
Zhao, G., Zhang, Y., & Ge, Y. (2018) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2018.00225 · Cited by 140
Are All “Basic Emotions” Emotions? A Problem for the (Basic) Emotions Construct
Ortony, A. (2021) · Perspectives on Psychological Science · doi:10.1177/1745691620985415 · Cited by 200
The role of interpersonal harm in distinguishing regret from guilt.
Zeelenberg, M., & Breugelmans, S. M. (2008) · Emotion · doi:10.1037/a0012894 · Cited by 141
Jointly Predicting Arousal, Valence and Dominance with Multi-Task Learning
Parthasarathy, S., & Busso, C. (2017) · Interspeech (USB) · doi:10.21437/interspeech.2017-1494 · Cited by 136
A Reappraisal of the Role of Emotion in Consumer Behavior
Johnson, A. R., & Stewart, D. W. (2004) · Emerald Group Publishing Limited eBooks · doi:10.1108/s1548-6435(2004)0000001005 · Cited by 142
It's a Pleasure Buying Here: The Effects of Web-Store Design on Consumers' Emotions and Attitudes
Porat, T., & Tractinsky, N. (2012) · Human-Computer Interaction · doi:10.1080/07370024.2011.646927 · Cited by 136
The Theory of Emotions in Marketing
Huang, M. (2001) · Journal of Business and Psychology · doi:10.1023/a:1011109200392 · Cited by 137
An investigation on the serendipity problem in recommender systems
de Gemmis, M., Lops, P., Semeraro, G. M., & Musto, C. (2015) · Information Processing & Management · doi:10.1016/j.ipm.2015.06.008 · Cited by 134
Instrumentality, aesthetics and symbolism of physical artifacts as triggers of emotion
Rafaeli, A., & Vilnai‐Yavetz, I. (2004) · Theoretical Issues in Ergonomics Science · doi:10.1080/1463922031000086735 · Cited by 132
Emotional and Evaluative Consequences of Inappropriate Leader Displays
Bucy, E. P. (2000) · Communication Research · doi:10.1177/009365000027002004 · Cited by 129
Does Art Improve Mood? A Test of a Key Assumption Underlying Art Therapy
Petrillo, L. D., & Winner, E. (2005) · Art Therapy · doi:10.1080/07421656.2005.10129521 · Cited by 131
Emotion and Motivation: Toward Consensus Definitions and a Common Research Purpose
Lang, P. J. (2010) · Emotion Review · doi:10.1177/1754073910361984 · Cited by 130
Furniture Forms and Their Influence on Our Emotional Responses Toward Interior Environments
Dazkir, S. S., & Read, M. A. (2011) · Environment and Behavior · doi:10.1177/0013916511402063 · Cited by 127
Fanti, K. A., Panayiotou, G., Lazarou, C., Michael, R., & Georgiou, G. (2015) · Development and Psychopathology · doi:10.1017/s0954579415000371 · Cited by 128
AffectButton: A method for reliable and valid affective self-report
Broekens, J., & Brinkman, W. (2013) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2013.02.003 · Cited by 133
The structure of self-reports of emotional responses to film segments
McHugo, G. J., Smith, C. A., & Lanzetta, J. T. (1982) · Motivation and Emotion · doi:10.1007/bf00998191 · Cited by 128
The socio-emotional basis of human interaction and communication: How we construct our social world
Schöll, W. (2013) · Social Science Information · doi:10.1177/0539018412466607 · Cited by 129
A design methodology for affective Virtual Reality
Dozio, N., Marcolin, F., Scurati, G. W., Ulrich, L., Nonis, F., Vezzetti, E., Marsocci, G., Rosa, A. L., & Ferrise, F. (2022) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2022.102791 · Cited by 135
Combining Facial Expressions and Electroencephalography to Enhance Emotion Recognition
Huang, Y., Yang, J., Liu, S., & Pan, J. (2019) · Future Internet · doi:10.3390/fi11050105 · Cited by 124
Linking Lighting Appraisals to Work Behaviors
Veitch, J. A., Stokkermans, M. G. M., & Newsham, G. R. (2011) · Environment and Behavior · doi:10.1177/0013916511420560 · Cited by 125
Xu, M., Zhang, F., & Zhang, W. (2021) · IEEE Access · doi:10.1109/access.2021.3067460 · Cited by 136
Häring, M., Bee, N., & André, E. (2011) · IEEE RO-MAN · doi:10.1109/roman.2011.6005263 · Cited by 124
Gesture and emotion: Can basic gestural form features discriminate emotions?
Kipp, M., & Martin, J. (2009) · International Conference on Affective Computing and Intelligent Interaction and workshops · doi:10.1109/acii.2009.5349544 · Cited by 130
Real-Time Fractal-Based Valence Level Recognition from EEG
Liu, Y., & Sourina, O. (2013) · Lecture notes in computer science · doi:10.1007/978-3-642-38803-3_6 · Cited by 123
Decorative pictures and emotional design in multimedia learning
Schneider, S., Nebel, S., & Rey, G. D. (2016) · Learning and Instruction · doi:10.1016/j.learninstruc.2016.03.002 · Cited by 139
Marín‐Morales, J., Higuera-Trujillo, J. L., Greco, A., Guixeres, J., Llinares, C., Gentili, C., Scilingo, E. P., Alcañíz, M., & Valenza, G. (2019) · PLoS ONE · doi:10.1371/journal.pone.0223881 · Cited by 129
Neural mechanisms of social dominance
Watanabe, N., & Yamamoto, M. (2015) · Frontiers in Neuroscience · doi:10.3389/fnins.2015.00154 · Cited by 127
Emotion and aggression in the psychopathic personality
Patrick, C. J., & Zempolich, K. A. (1998) · Aggression and Violent Behavior · doi:10.1016/s1359-1789(97)00003-7 · Cited by 120
A conical model for the taxonomy of emotional experience.
Daly, E. M., Lancee, W. J., & Polivy, J. (1983) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.45.2.443 · Cited by 122
Dimensions underlying children's emotion concepts.
Russell, J. A., & Ridgeway, D. (1983) · Developmental Psychology · doi:10.1037/0012-1649.19.6.795 · Cited by 119
Self-citationHow shall an emotion be called?
Russell, J. A. (2004) · American Psychological Association eBooks · doi:10.1037/10261-009 · Cited by 119
Self-citationThe emotional power of place: The fall and rise of dominance in retail research
Yani‐de‐Soriano, M., & Foxall, G. R. (2006) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2006.02.007 · Cited by 114
Lang, P. J. (1988) · Springer eBooks · doi:10.1007/978-94-009-2792-6_7 · Cited by 116
Consumption Emotions, Experience Quality and Satisfaction
Zins, A. H. (2002) · Journal of Travel & Tourism Marketing · doi:10.1300/j073v12n02_02 · Cited by 113
Emotion Classification Based on Biophysical Signals and Machine Learning Techniques
Balan, O. C., Moise, G., Petrescu, L., Moldoveanu, A. D. B., Leordeanu, M., & Moldoveanu, F. (2019) · Symmetry · doi:10.3390/sym12010021 · Cited by 112
Mixed Emotions Viewed from the Psychological Constructionist Perspective
Russell, J. A. (2017) · Emotion Review · doi:10.1177/1754073916639658 · Cited by 112
Self-citationEthics Sheet for Automatic Emotion Recognition and Sentiment Analysis
Mohammad, S. M. (2022) · Computational Linguistics · doi:10.1162/coli_a_00433 · Cited by 142
Continuous Self-Report Methods
Schubert, E. (2010) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780199230143.003.0009 · Cited by 111
Increasing the Reliability of Crowdsourcing Evaluations Using Online Quality Assessment
Burmania, A., Parthasarathy, S., & Busso, C. (2015) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2015.2493525 · Cited by 108
How deep neural networks can improve emotion recognition on video data
Khorrami, P., Le Paine, T., Brady, K., Dagli, C., & Huang, T. S. (2016) · 2016 IEEE International Conference on Image Processing (ICIP) · doi:10.1109/icip.2016.7532431 · Cited by 107
Correcting Time-Continuous Emotional Labels by Modeling the Reaction Lag of Evaluators
Mariooryad, S., & Busso, C. (2014) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2014.2334294 · Cited by 111
The State of the Art in Sentiment Visualization
Kucher, K., Paradis, C., & Kerren, A. (2017) · Computer Graphics Forum · doi:10.1111/cgf.13217 · Cited by 107
Alcohol and human emotion: A multidimensional analysis incorporating startle-probe methodology.
Stritzke, W. G. K., Patrick, C. J., & Lang, A. R. (1995) · Journal of Abnormal Psychology · doi:10.1037/0021-843x.104.1.114 · Cited by 107
Kusal, S., Patil, S., Choudrie, J., Kotecha, K. V., Vora, D. R., & Pappas, I. O. (2023) · Artificial Intelligence Review · doi:10.1007/s10462-023-10509-0 · Cited by 183
Challenges and Opportunities of Text-Based Emotion Detection: A Survey
Maruf, A. A., Khanam, F., Haque, M. M., Jiyad, Z. M., Mridha, M. F., & Aung, Z. (2024) · IEEE Access · doi:10.1109/access.2024.3356357 · Cited by 126
Metallinou, A., Katsamanis, A., & Narayanan, S. S. (2012) · Image and Vision Computing · doi:10.1016/j.imavis.2012.08.018 · Cited by 105
The construction of online shopping experience: A repertory grid approach
Kawaf, F., & Tagg, S. K. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2017.02.055 · Cited by 103
Lewinsohn, S., & Mano, H. (1993) · Journal of Behavioral Decision Making · doi:10.1002/bdm.3960060103 · Cited by 103
A multitask framework to detect depression, sentiment and multi-label emotion from suicide notes
Ghosh, S., Ekbal, A., & Bhattacharyya, P. (2022) · Cognitive Computation · doi:10.1007/s12559-021-09828-7 · Cited by 102
Affective and Symbolic Aspects of Car Use
Gatersleben, B. (2007) · Emerald Group Publishing Limited eBooks · doi:10.1108/9780080481449-012 · Cited by 102
The Meaning of Occupational Prestige Scores: A Social Psychological Analysis and Interpretation
MacKinnon, N. J., & Langford, T. (1994) · Sociological Quarterly · doi:10.1111/j.1533-8525.1994.tb00408.x · Cited by 102
EXERCISED CONTROL, LIGHTING CHOICES, AND ENERGY USE: AN OFFICE SIMULATION EXPERIMENT
Veitch, J. A., & Newsham, G. R. (2000) · Journal of Environmental Psychology · doi:10.1006/jevp.1999.0169 · Cited by 102
A Literature Review of Social Mood
Olson, K. R. (2006) · Journal of Behavioral Finance · doi:10.1207/s15427579jpfm0704_2 · Cited by 103
Sonderegger, A., Zbinden, G., Uebelbacher, A., & Sauer, J. (2012) · Ergonomics · doi:10.1080/00140139.2012.672658 · Cited by 102
Hierarchical movie affective content analysis based on arousal and valence features
Xu, M. G., Jin, J. S., Luo, S., & Duan, L. (2008) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/1459359.1459457 · Cited by 101
Fischer, A. H., Gillebaart, M., Rotteveel, M., Becker, D., & Vliek, M. (2011) · Social Psychological and Personality Science · doi:10.1177/1948550611418534 · Cited by 100
The Feeling of Action Tendencies: On the Emotional Regulation of Goal-Directed Behavior
Lowe, R. J., & Ziemke, T. (2011) · Frontiers in Psychology · doi:10.3389/fpsyg.2011.00346 · Cited by 111
Affective Visualization and Retrieval for Music Video
Zhang, S., Huang, Q., Jiang, S., Gao, W., & Tian, Q. (2010) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2010.2059634 · Cited by 98
Continuous emotion detection using EEG signals and facial expressions
Soleymani, M., Asghari-Esfeden, S., Pantić, M., & Fu, Y. (2014) · IEEE International Conference on Multimedia and Expo (ICME) · doi:10.1109/icme.2014.6890301 · Cited by 108
Towards a Small Set of Robust Acoustic Features for Emotion Recognition: Challenges
Tahon, M., & Devillers, L. Y. (2015) · IEEE/ACM Transactions on Audio Speech and Language Processing · doi:10.1109/taslp.2015.2487051 · Cited by 98
Museum Atmospherics: The Role of the Exhibition Environment in the Visitor Experience
Forrest, R. (2013) · Visitor Studies · doi:10.1080/10645578.2013.827023 · Cited by 97
Metadata
- Authors
- Russell, J. A., & Mehrabian, A.
- Affiliations
- University of British Columbia (CA)
- University of California, Los Angeles (US)
- Corresponding author
- Russell, James A
- ORCID
- Russell, James A
- Venue
- Journal of Research in Personality
- Publisher
- Elsevier BV
- Published
- 1977-09
- Volume
- 11
- Issue
- 3
- Pages
- 273-294
- ISSN
- 0092-6566 (ISSN-L)
- OpenAlex
- W2003653478
- Cited by
- 1,940
- References
- 35
- Citations by year
- 2026: 75 · 2025: 112 · 2024: 135 · 2023: 128 · 2022: 169 · 2021: 118 · 2020: 98 · 2019: 91 · 2018: 84 · 2017: 89 · 2016: 74 · 2015: 86 · 2014: 72 · 2013: 74 · 2012: 60
- FWCI
- 22.84
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Research in Personality (publishedVersion)
- Topics
- Social Sciences › Psychology › Social Psychology › Emotions and Moral Behavior
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Physical Sciences › Computer Science › Artificial Intelligence › Emotion and Mood Recognition
- Keywords
- arousal, emotional state, acquiescence bias, semantic differential, definition of emotion
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