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
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“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 301–400 of 1,002
Bodily Explorations in Space: Social Experience of a Multimodal Art Installation
Jacucci, G., Spagnolli, A., Chalambalakis, A., Morrison, A., Liikkanen, L. A., Roveda, S., & Bertoncini, M. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-03658-3_11 · Cited by 63
Jongmans, É., Jeannot, F., Liang, L., & Dampérat, M. (2022) · Journal of Marketing Management · doi:10.1080/0267257x.2022.2085315 · Cited by 78
A Typology of Consumers' Emotional Response Styles during Service Recovery Encounters*
Schoefer, K., & Diamantopoulos, A. (2008) · British Journal of Management · doi:10.1111/j.1467-8551.2008.00589.x · Cited by 67
Computational Approaches to Modeling Artificial Emotion – An Overview of the Proposed Solutions
Kowalczuk, Z., & Czubenko, M. (2016) · Frontiers in Robotics and AI · doi:10.3389/frobt.2016.00021 · Cited by 62
How to create a memorable night tourism experience: atmosphere, arousal and pleasure
Li, R., Li, Y., Liu, C.-H. S., & Ruan, W.-Q. (2021) · Current Issues in Tourism · doi:10.1080/13683500.2021.1985975 · Cited by 61
The Efficacy of Mucin‐Containing Artificial Saliva in Alleviating Symptoms of Xerostomia
Vissink, A., Schaub, R. M. H., van Rijn, L. J., 's-Gravenmade, E. J., Panders, A. K., & Vermey, A. (1987) · Gerodontology · doi:10.1111/j.1741-2358.1987.tb00283.x · Cited by 61
Hochreiter, V., Benedetto, C., & Loesch, M. (2023) · Journal of entrepreneurship and business development · doi:10.18775/jebd.31.5001 · Cited by 60
Suspense and Advertising Responses
Alwitt, L. F. (2002) · Journal of Consumer Psychology · doi:10.1207/s15327663jcp1201_04 · Cited by 60
Wierzba, M., Riegel, M., Wypych, M., Jednoróg, K., Turnau, P., Grabowska, A., & Marchewka, A. (2015) · PLoS ONE · doi:10.1371/journal.pone.0132305 · Cited by 61
Kazakova, S., Cauberghe, V., Hudders, L., & Labyt, C. (2016) · Journal of Advertising · doi:10.1080/00913367.2016.1183244 · Cited by 60
The influence of post-visit emotions on destination loyalty
Godovykh, M., & Tasci, A. D. A. (2020) · Tourism Review · doi:10.1108/tr-01-2020-0025 · Cited by 60
Affect-based indexing and retrieval of films
Chan, C. H., & Jones, G. J. F. (2005) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/1101149.1101243 · Cited by 60
BASTIAANSEN, M. C. M., Straatman, S., Mitas, O., Stekelenburg, J. J., & Jansen, S. (2020) · Journal of Travel Research · doi:10.1177/0047287520981149 · Cited by 64
Multimodal emotion recognition: A comprehensive review, trends, and challenges
Ramaswamy, M. P. A., & Palaniswamy, S. (2024) · WIREs Data Mining and Knowledge Discovery · doi:10.1002/widm.1563 · Cited by 70
Affect Simulation with Primary and Secondary Emotions
Becker-Asano, C., & Wachsmuth, I. (2008) · Lecture notes in computer science · doi:10.1007/978-3-540-85483-8_2 · Cited by 59
Understanding auction fever: a framework for emotional bidding
Adam, M. T. P., Krämer, J., Jähnig, C., Seifert, S., & Weinhardt, C. (2011) · Electronic Markets · doi:10.1007/s12525-011-0068-9 · Cited by 64
Wang, Z., & Scheepers, H. (2012) · Communications of the Association for Information Systems · doi:10.17705/1cais.03017 · Cited by 60
Representation of perceived sound valence in the human brain
Viinikainen, M., Kätsyri, J., & Sams, M. E. (2011) · Human Brain Mapping · doi:10.1002/hbm.21362 · Cited by 63
Psychophysiology of flow experience : an explorative study
Kivikangas, J. M. (2006) · Työväentutkimus Vuosikirja · Cited by 59
Kang, A. S., Jayaraman, K., Soh, K. L., & Wong, W. P. (2019) · Transportation Research Part F Traffic Psychology and Behaviour · doi:10.1016/j.trf.2019.02.005 · Cited by 59
Affect and retrieval of personal memories
Robinson, J. A. (1980) · Motivation and Emotion · doi:10.1007/bf00995196 · Cited by 62
Semantic Associations Dominate Over Perceptual Associations in Vowel–Size Iconicity
Hoshi, H., Kwon, N., Akita, K., & Auracher, J. (2019) · i-Perception · doi:10.1177/2041669519861981 · Cited by 58
Corpus Development for Affective Video Indexing
Soleymani, M., Larson, M., Pun, T., & Hanjalić, A. (2014) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2014.2305573 · Cited by 66
Affective MTV analysis based on arousal and valence features
Zhang, S. S., Tian, Q., Jiang, S., Huang, Q., & Gao, W. (2008) · IEEE International Conference on Multimedia and Expo (ICME) · doi:10.1109/icme.2008.4607698 · Cited by 58
Goff, G. L., & Delarue, J. (2016) · Food Quality and Preference · doi:10.1016/j.foodqual.2016.01.008 · Cited by 58
dos Santos, A. A., & Ponchio, M. C. (2021) · Innovation & Management Review · doi:10.1108/inmr-07-2020-0093 · Cited by 57
User interface evaluation of interactive TV: a media studies perspective
Chorianopoulos, K., & Spinellis, D. D. (2006) · Universal Access in the Information Society · doi:10.1007/s10209-006-0032-1 · Cited by 57
Assessing the validity of emotional typologies
Havlena, W. J., Holbrook, M. B., & Lehmann, D. R. (1989) · Psychology and Marketing · doi:10.1002/mar.4220060203 · Cited by 57
Demand characteristics and full spectrum lighting effects on performance and mood
Veitch, J. A., Gifford, R., & Hine, D. W. (1991) · Journal of Environmental Psychology · doi:10.1016/s0272-4944(05)80007-6 · Cited by 57
Emotion, Hemispheric Specialization, and Visual and Verbal Memory for Television Messages
Lang, A., & Friestad, M. (1993) · Communication Research · doi:10.1177/009365093020005002 · Cited by 57
Graziotin, D., Wang, X., & Abrahamsson, P. (2015) · International Workshop on Social Software Engineering (SSE) · doi:10.1145/2804381.2804386 · Cited by 59
Analysis of Affiliation-Related Traits in Terms of the PAD Temperament Model
Mehrabian, A. (1997) · The Journal of Psychology · doi:10.1080/00223989709603508 · Cited by 56
Self-citationChraibi, S. S., Lashina, T., Shrubsole, P., Aries, M. M., van Loenen, E., & Rosemann, A. L. P. (2016) · Building and Environment · doi:10.1016/j.buildenv.2016.05.032 · Cited by 56
Human state anxiety classification framework using EEG signals in response to exposure therapy
Muhammad, F., & Al-Ahmadi, S. (2022) · PLoS ONE · doi:10.1371/journal.pone.0265679 · Cited by 52
EEG-based emotion analysis using non-linear features and ensemble learning approaches
Rahman, M. M., Sarkar, A. K., Hossain, M. A., & Moni, M. A. (2022) · Expert Systems with Applications · doi:10.1016/j.eswa.2022.118025 · Cited by 60
Comparison of methods used to study consumer emotions associated with fragrance
Churchill, A., & Behan, J. (2010) · Food Quality and Preference · doi:10.1016/j.foodqual.2010.07.006 · Cited by 55
Raheel, A., Majid, M., & Anwar, S. (2021) · Information Fusion · doi:10.1016/j.inffus.2020.08.007 · Cited by 51
Word-level emotion distribution with two schemas for short text emotion classification
Li, Z., Xie, H., Cheng, G., & Li, Q. (2021) · Knowledge-Based Systems · doi:10.1016/j.knosys.2021.107163 · Cited by 55
Church, T. S., Katigbak, M. S., Reyes, J. A. S., & Jensen, S. M. (1998) · Cognition & Emotion · doi:10.1080/026999398379781 · Cited by 55
Affective and Semantic Representations of Valence: A Conceptual Framework
Itkes, O., & Kron, A. (2019) · Emotion Review · doi:10.1177/1754073919868759 · Cited by 58
An empirical study of players’ emotions in VR racing games based on a dataset of physiological data
Granato, M., Gadia, D., Maggiorini, D., & Ripamonti, L. A. (2020) · Multimedia Tools and Applications · doi:10.1007/s11042-019-08585-y · Cited by 54
Emotion’s Response Patterns: The Brain and the Autonomic Nervous System
Lang, P. J. (2014) · Emotion Review · doi:10.1177/1754073913512004 · Cited by 59
How Hearing Loss and Age Affect Emotional Responses to Nonspeech Sounds
Picou, E. M. (2016) · Journal of Speech Language and Hearing Research · doi:10.1044/2016_jslhr-h-15-0231 · Cited by 51
How destination music affects tourists’ behaviors: travel with music in Lijiang, China
Zhuang, M., Zhang, J., Xiao, X., Qiu, M., Lu, Y., Zhang, H., Tz-Hsuan, T., Lin, Z., & Hu, M. (2019) · Asia Pacific Journal of Tourism Research · doi:10.1080/10941665.2019.1683046 · Cited by 62
Stavrova, O., Ehlebracht, D., & Vohs, K. D. (2020) · Journal of Experimental Psychology General · doi:10.1037/xge0000738 · Cited by 55
Arapakis, I., Moshfeghi, Y., Joho, H., Ren, R., Hannah, D. M., & Jose, J. M. (2009) · IEEE International Conference on Multimedia and Expo (ICME) · doi:10.1109/icme.2009.5202773 · Cited by 52
Perceptual dimensions differentiate emotions
Cavanaugh, L. A., MacInnis, D. J., & Weiss, A. M. (2015) · Cognition & Emotion · doi:10.1080/02699931.2015.1070119 · Cited by 55
Emoji-powered Sentiment and Emotion Detection from Software Developers’ Communication Data
Chen, Z., Cao, Y., Yao, H., Lü, X., Peng, X., Mei, H., & Liu, X. (2021) · ACM Transactions on Software Engineering and Methodology · doi:10.1145/3424308 · Cited by 54
Cheng, K.-H., Hou, H.-T., & Wu, S.-Y. (2014) · Interactive Learning Environments · doi:10.1080/10494820.2011.649766 · Cited by 52
Online shopping environments in fashion shopping: an S-O-R based review
Kawaf, F., & Tagg, S. K. (2012) · Strathprints: The University of Strathclyde institutional repository (University of Strathclyde) · doi:10.1362/146934713366562572476 · Cited by 52
Picou, E. M., Singh, G., Goy, H., Russo, F., Hickson, L. M. H., Oxenham, A. J., Buono, G. H., Ricketts, T. A., & Launer, S. (2018) · Trends in Hearing · doi:10.1177/2331216518803215 · Cited by 55
Affective Level Video Segmentation by Utilizing the Pleasure-Arousal-Dominance Information
Arifin, S., & Cheung, P. Y. K. (2008) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2008.2004911 · Cited by 52
Subjective dimensions of heroin urges: Influence of heroin-related and affectively negative stimuli
Sherman, J. E., Zinser, M. C., Sideroff, S. I., & Baker, T. B. (1989) · Addictive Behaviors · doi:10.1016/0306-4603(89)90003-8 · Cited by 52
Ethical consumption: Influencing factors of consumer´s intention to purchase Fairtrade roses
Berki-Kiss, D., & Menrad, K. (2022) · Cleaner and Circular Bioeconomy · doi:10.1016/j.clcb.2022.100008 · Cited by 57
Lambillotte, L., Bart, Y., & Poncin, I. (2022) · Journal of Interactive Marketing · doi:10.1177/10949968221095557 · Cited by 55
Raanaas, R. K., Patil, G. G., & Hartig, T. (2010) · HortScience · doi:10.21273/hortsci.45.3.387 · Cited by 51
Thornton, M. A., & Tamir, D. (2020) · Cortex · doi:10.1016/j.cortex.2019.12.012 · Cited by 58
Zhang, T., Ali, A. E., Wang, C., Hanjalić, A., & Cesar, P. S. (2020) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3313831.3376808 · Cited by 51
Tu, G., Wen, J., Liu, H., Chen, S., Zheng, L., & Jiang, D. (2021) · Knowledge-Based Systems · doi:10.1016/j.knosys.2021.107598 · Cited by 51
Hierarchical affective content analysis in arousal and valence dimensions
Xu, M. G., Xu, C., He, X., Jin, J. S., Luo, S., & Rui, Y. (2012) · Signal Processing · doi:10.1016/j.sigpro.2012.06.026 · Cited by 50
Measuring Emotions Toward Wildlife: A Review of Generic Methods and Instruments
Jacobs, M. H., Fehres, P., & Campbell, M. (2012) · Human Dimensions of Wildlife · doi:10.1080/10871209.2012.680175 · Cited by 56
Morris, J. D., Choi, Y., & Ju, I. (2016) · Journal of Current Issues & Research in Advertising · doi:10.1080/10641734.2016.1171182 · Cited by 50
What influences online reviews’ perceived information quality?
Zhu, L., Li, H., He, W., & Hong, C. (2020) · The Electronic Library · doi:10.1108/el-09-2019-0208 · Cited by 51
A confirmatory evaluation of the profile of mood states: Convergent and discriminant item validity
Reddon, J. R., Marceau, R., & Holden, R. R. (1985) · Journal of Psychopathology and Behavioral Assessment · doi:10.1007/bf00960756 · Cited by 50
Differential Emotions Theory and Emotional Development in Adulthood and Later Life
Dougherty, L. M., Abe, J. A. A., & Izard, C. E. (1996) · Elsevier eBooks · doi:10.1016/b978-012464995-8/50003-0 · Cited by 50
Trofimova, I. N., Robbins, T. W., Sulis, W., & Uher, J. (2018) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2017.0152 · Cited by 50
直播营销中社会临场感对线上从众消费的影响及作用机理研究——行为与神经生理视角
Xie, Y., Li, C., Peng, G. A. O., & Liu, Y. (2019) · Advances in Psychological Science · doi:10.3724/sp.j.1042.2019.00990 · Cited by 49
Vera, J. E. D. (2002) · BRILL eBooks · doi:10.1163/9789004489349 · Cited by 49
Liu, Y.-H., Wu, C., Cheng, W.-T., Hsiao, Y.-T., Chen, P.-M., & Teng, J. (2014) · Sensors · doi:10.3390/s140813361 · Cited by 48
Perceptual and Sensory-Functional Consequences of Skin Care Products
Guest, S., McGlone, F. P., Hopkinson, A., Schendel, Z. A., Blot, K., & Essick, G. K. (2013) · Journal of Cosmetics Dermatological Sciences and Applications · doi:10.4236/jcdsa.2013.31a010 · Cited by 51
Multilingual emotion classification using supervised learning: Comparative experiments
Becker, K. E., Moreira, V. P., & Santos, A. G. (2017) · Information Processing & Management · doi:10.1016/j.ipm.2016.12.008 · Cited by 49
Buechel, S., & Hahn, U. (2017) · Linguistic Annotation Workshop · doi:10.18653/v1/w17-0801 · Cited by 49
Corpus Development for Affective Video Indexing
Soleymani, M., Larson, M., Pun, T., & Hanjalić, A. (2014) · Archive ouverte UNIGE (University of Geneva) · Cited by 49
Task lighting effects on office worker satisfaction and performance, and energy efficiency
Newsham, G. R. (2005) · LEUKOS The Journal of the Illuminating Engineering Society of North America · doi:10.1582/leukos.2004.01.04.001 · Cited by 49
Emotional Processes in Psychopathy
Patrick, C. J. (2001) · Springer eBooks · doi:10.1007/978-1-4615-1367-4_3 · Cited by 49
Friedman, H. S. (1979) · Journal of Experimental Social Psychology · doi:10.1016/0022-1031(79)90008-8 · Cited by 50
Nucleus accumbens dichotomically controls social dominance in male mice
Shan, Q., Hu, Y., Chen, S., & Tian, Y. (2021) · Neuropsychopharmacology · doi:10.1038/s41386-021-01220-1 · Cited by 50
Motion Reveal Emotions: Identifying Emotions From Human Walk Using Chest Mounted Smartphone
Hashmi, M. A., Riaz, Q., Zeeshan, M., Shahzad, M., & Fraz, M. M. (2020) · IEEE Sensors Journal · doi:10.1109/jsen.2020.3004399 · Cited by 50
EEG emotion recognition based on enhanced SPD matrix and manifold dimensionality reduction
Gao, Y.-Y., Sun, X., Meng, M., & Zhang, Y.-C. (2022) · Comput. Biol. Medicine · doi:10.1016/j.compbiomed.2022.105606 · Cited by 48
A systematic literature review about technologies for self-reporting emotional information
Fuentes, C., Herskovic, V., Rodríguez, I., Gerea, C., Samary, M. M., & Rossel, P. O. (2016) · Journal of Ambient Intelligence and Humanized Computing · doi:10.1007/s12652-016-0430-z · Cited by 46
Representation, Analysis, and Recognition of 3D Humans
Berretti, S., Daoudi, M., Turaga, P. K., & Basu, A. (2018) · ACM Transactions on Multimedia Computing Communications and Applications · doi:10.1145/3182179 · Cited by 54
Islam, M. R., & Zibran, M. F. (2018) · ACM Symposium on Applied Computing · doi:10.1145/3167132.3167296 · Cited by 47
Cross-platform and cross-interaction study of user personality based on images on Twitter and Flickr
Samani, Z. R., Guntuku, S. C., Moghaddam, M. E., Preoțiuc-Pietro, D., & Ungar, L. (2018) · PLoS ONE · doi:10.1371/journal.pone.0198660 · Cited by 50
Vector based sentiment and emotion analysis from text: A survey
Uymaz, H. A., & Metın, S. K. (2022) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2022.104922 · Cited by 54
Impact of Expressive Wrinkles on Perception of a Virtual Character’s Facial Expressions of Emotions
Courgeon, M., Stéphanie Buisine, A., & Martin, J. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-04380-2_24 · Cited by 47
Sultana, M., Al-Jefri, M., & Lee, J. (2020) · JMIR mHealth and uHealth · doi:10.2196/17818 · Cited by 46
Emotion and Motivation in Cognitive Assistive Technologies for Dementia
Robillard, J. M., & Hoey, J. (2018) · Computer · doi:10.1109/mc.2018.1731059 · Cited by 46
Vanwesenbeeck, I., Ponnet, K. S., & Walrave, M. (2015) · Journal of Consumer Behaviour · doi:10.1002/cb.1529 · Cited by 46
Investigating the Role of the Ventromedial Prefrontal Cortex in the Assessment of Brands
dos Santos, J. P. M., Seixas, D., Brandão, S., & Moutinho, L. (2011) · Frontiers in Neuroscience · doi:10.3389/fnins.2011.00077 · Cited by 47
The psychology of colour preferences
Crozier, W. R. (1996) · Review of Progress in Coloration and Related Topics · doi:10.1111/j.1478-4408.1996.tb00111.x · Cited by 46
Emotions and concerns: Situational evidence for their systematic co-occurrence.
Leersnyder, J. D., Koval, P., Kuppens, P., & Mesquita, B. (2017) · Emotion · doi:10.1037/emo0000314 · Cited by 51
Mobile social commerce content, consumer emotions and behaviour
Liu, Y., Li, Q., Edu, T., Fam, K., Zaharia, R., & Negricea, C. I. (2023) · International Journal of Consumer Studies · doi:10.1111/ijcs.12908 · Cited by 50
Determination of emotional content of video clips by low-level audiovisual features
Teixeira, R. M. A., Yamasaki, T., & Aizawa, K. (2011) · Multimedia Tools and Applications · doi:10.1007/s11042-010-0702-0 · Cited by 44
Affective responses to EEG preparation and their link to resting anterior EEG asymmetry
Blackhart, G. C., Kline, J. P., Donohue, K. F., LaRowe, S. D., & Joiner, T. E. (2002) · Personality and Individual Differences · doi:10.1016/s0191-8869(01)00015-0 · Cited by 44
Advocating a Componential Appraisal Model to Guide Emotion Recognition
Mortillaro, M., Meuleman, B., & Scherer, K. R. (2012) · International Journal of Synthetic Emotions · doi:10.4018/jse.2012010102 · Cited by 46
Distinguishing Evaluation from Description in the Personality-Emotion Relationship
Fossum, T. A., & Barrett, L. F. (2000) · Personality and Social Psychology Bulletin · doi:10.1177/0146167200268003 · Cited by 45
Stone, A. A., & Shiffman, S. M. (1992) · Psychology and Health · doi:10.1080/08870449208520014 · Cited by 44
Effects of arousal on everyday memory
Deffenbacher, K. A. (1994) · Human Performance · doi:10.1207/s15327043hup0702_3 · Cited by 60
Auracher, J., Scharinger, M., & Menninghaus, W. (2019) · PLoS ONE · doi:10.1371/journal.pone.0216930 · Cited by 44
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review