Measurement of Mixed Emotions:Models, Methods and Perspectives

Sun Wujun, Jiang Yuan, Fang Ping

Journal of Psychological Science ›› 2024, Vol. 47 ›› Issue (4) : 959-965.

PDF(506 KB)
PDF(506 KB)
Journal of Psychological Science ›› 2024, Vol. 47 ›› Issue (4) : 959-965. DOI: 10.16719/j.cnki.1671-6981.20240424
Psychological statistics, Psychometrics & Methods

Measurement of Mixed Emotions:Models, Methods and Perspectives

  • Sun Wujun1,3, Jiang Yuan2, Fang Ping3
Author information +
History +

Abstract

Mixed emotions are the simultaneous experience of both positive and negative emotion, which are important components of individual emotional complexity and have great significance to individual mental health and goal pursuit. Since mixed emotions are more complex in subjective experience and objective reaction, the same type of reaction often includes two or more basic emotional components at the same time, it is not only necessary to evaluate the states of multiple basic emotions, but also to present the pattern and characteristics of the co-occurrence of these basic emotions.
According to the Component Process Model, the generation of emotion involves multiple systems such as cognition, autonomic nervous system, motor system and motivation system. The generation of mixed emotions requires more complex operations of the above systems, including multiple cognitive evaluations and brain activation, autonomic nervous system activity characteristics different from pure emotions, contradictory external manifestations, and mixed and multiple subjective experiences. Based on different theoretical assumptions and measurement needs, three models, including univariate, bivariate and multivariate models, are gradually formed. Specific methods based on three measurement models are different, which to some extent leads to low consistency and comparability among research results. Therefore, it is necessary to sort out the commonly used measurement methods in the study of mixed emotions, summarize their applicable conditions, advantages and disadvantages, and hope to provide some reference for the future study of mixed emotions.
Among the methods to measure the subjective experience of mixed emotions based on the three measurement models, the mixed emotion scales, including the Trait Mixed Emotions Scale and the State Mixed Emotions Scale, provide a simple, direct and convenient measurement method and tool for measuring the subjective experience of mixed emotions. The mixed emotion index obtained by bivariate scale measurement and minimum calculation method is determined by the values of positive and negative emotion components together, which is more flexible in practical application. By dynamically monitoring the two emotional components, the keystroke method reflects how the participants' mixed emotional experience changes over time. Graphic methods, including AES and ESG, provide the intensity of individuals' emotional experience at different points in time. Among the methods to measure the objective response of mixed emotions, frontal-parietal network measurement provides a valuable single index for the neural network measurement of mixed emotions. The measurement of simultaneous activation of positive and negative emotional regions of the brain provides a bivariate indicator of neural responses to mixed emotions. Physiological arousal measures are based on the multivariable model that reflects mixed emotions by detecting changes in the response of effectors such as the heart, blood vessels, skin, and respiratory. The mixed expression method measures the external expression of mixed emotions by means of electromyography, or video recording and observer coding.
Future studies on mixed emotion measurement should focus on perfecting the theoretical basis of mixed emotion measurement, improving the specificity of objective response measurement index, establishing an evaluation system adaptive to the complexity of mixed emotional system, and focusing on measuring the temporal relationship between positive and negative components of mixed emotions.

Key words

mixed emotions / theoretical basis / models / methods / perspectives

Cite this article

Download Citations
Sun Wujun, Jiang Yuan, Fang Ping. Measurement of Mixed Emotions:Models, Methods and Perspectives[J]. Journal of Psychological Science. 2024, 47(4): 959-965 https://doi.org/10.16719/j.cnki.1671-6981.20240424

References

[1] 潘发达, 王柳生, 张庆. (2012). 儿童混合情绪的发展研究述评. 心理科学, 35(3), 659-663.
[2] 权学良, 曾志刚, 蒋建华, 张亚倩, 吕宝粮, 伍冬睿. (2021). 基于生理信号的情感计算研究综述. 自动化学报, 47(8), 1769-1784.
[3] 孙五俊, 姜媛, 方平. (2021). 混合情绪能促进心理健康吗? 心理科学, 44(1), 230-236.
[4] 叶浩生, 苏佳佳, 苏得权. (2021). 身体的意义: 生成论视域下的情绪理论. 心理学报, 53(12), 1393-1404.
[5] 叶继华, 祝锦泰, 江爱文, 李汉曦, 左家莉. (2020). 人脸表情识别综述. 数据采集与处理, 35(1), 21-34.
[6] Andrade, E. B., & Cohen, J. B. (2007). On the consumption of negative feelings. Journal of Consumer Research, 34(3), 283-300.
[7] Apicella A., Arpaia P., Mastrati G., & Moccaldi N. (2021). EEG-based detection of emotional valence towards a reproducible measurement of emotions. Scientific Reports, 11(1), Article 21615.
[8] Barford, K. A., & Smillie, L. D. (2016). Openness and other big five traits in relation to dispositional mixed emotions. Personality and Individual Differences, 102, 118-122.
[9] Berrios R., Totterdell P., & Kellett S. (2015a). Investigating goal conflict as a source of mixed emotions. Cognition and Emotion, 29(4), 755-763.
[10] Berrios R., Totterdell P., & Kellett S. (2015b). Eliciting mixed emotions: A meta-analysis comparing models, types, and measures. Frontiers in Psychology, 6, Article 428.
[11] Berrios R., Totterdell P., Kellett S. (2018). Silver linings in the face of temptations: How mixed emotions promote self-control efforts in response to goal conflict. Motivation and Emotion, 42(6), 909-919.
[12] Braniecka A., Trzebińska E., Dowgiert A., & Wytykowska A. (2014). Mixed emotions and coping: The benefits of secondary emotions. PLoS ONE, 9(8), Article e103940.
[13] Burkitt E., Lowry R., & Fotheringham F. (2018). Children' s understanding of mixed emotions in self and other: Verbal reports and visual representations. Infant and Child Development, 27(3), Article e2076.
[14] Cacioppo J. T., Gardner W. L., & Berntson G. G. (1999). The affect system has parallel and integrative processing components: Form follows function. Journal of Personality and Social Psychology, 76(5), 839-855.
[15] Carrera, P., & Oceja, L. (2007). Drawing mixed emotions: Sequential or simultaneous experiences? Cognition and Emotion, 21(2), 422-441.
[16] Charles S. T., Piazza J. R., & Urban E. J. (2017). Mixed emotions across adulthood: When, where, and why? Current Opinion in Behavioral Sciences, 15, 58-61.
[17] Grabenhorst F., Rolls E. T., Margot C., da Silva, M. A. A. P., & Velazco M. I. (2007). How pleasant and unpleasant stimuli combine in different brain regions: Odor mixtures. Journal of Neuroscience, 27(49), 13532-13540.
[18] Grossmann, I., & Ellsworth, P. C. (2017). What are mixed emotions and what conditions foster them? Life-span experiences, culture and social awareness. Current Opinion in Behavioral Sciences, 15, 1-5.
[19] Grossmann I., Huynh A. C., & Ellsworth P. C. (2016). Emotional complexity: Clarifying definitions and cultural correlates. Journal of Personality and Social Psychology, 111(6), 895-916.
[20] Heavey C. L., Lefforge N. L., Lapping-Carr L., & Hurlburt R. T. (2017). Mixed emotions: Toward a phenomenology of blended and multiple feelings. Emotion Review, 9(2), 105-110.
[21] Hemenover, S. H., & Schimmack, U. (2007). That's disgusting! ... , but very amusing: Mixed feelings of amusement and disgust. Cognition and Emotion, 21(5), 1102-1113.
[22] Henderson, S. E., & Norris, C. J. (2013). Counterfactual thinking and reward processing: An fMRI study of responses to gamble outcomes. NeuroImage, 64, 582-589.
[23] Kaplan, K. J. (1972). On the ambivalence-indifference problem in attitude theory and measurement: A suggested modification of the semantic differential technique. Psychological Bulletin, 77(5), 361-372.
[24] Kreibig, S. D., & Gross, J. J. (2017). Understanding mixed emotions: Paradigms and measures. Current Opinion in Behavioral Sciences, 15, 62-71.
[25] Kreibig S. D., Samson A. C., & Gross J. J. (2013). The psychophysiology of mixed emotional states. Psychophysiology, 50(8), 799-811.
[26] Kreibig S. D., Samson A. C., & Gross J. J. (2015). The psychophysiology of mixed emotional states: Internal and external replicability analysis of a direct replication study. Psychophysiology, 52(7), 873-886.
[27] Kreibig S. D., Wilhelm F. H., Roth W. T., & Gross J. J. (2007). Cardiovascular, electrodermal, and respiratory response patterns to fear- and sadness-inducing films. Psychophysiology, 44(5), 787-806.
[28] Larsen, J. T. (2017). Holes in the case for mixed emotions. Emotion Review, 9(2), 118-123.
[29] Larsen, J. T., & McGraw, A. P. (2014). The case for mixed emotions. Social and Personality Psychology Compass, 8(6), 263-274.
[30] Larsen J. T., McGraw A. P., Mellers B. A., & Cacioppo J. T. (2004). The agony of victory and thrill of defeat: Mixed emotional reactions to disappointing wins and relieving losses. Psychological Science, 15(5), 325-330.
[31] Larsen J. T., Norris C. J., & Cacioppo J. T. (2003). Effects of positive and negative affect on electromyographic activity over zygomaticus major and corrugator supercilii. Psychophysiology, 40(5), 776-785.
[32] Larsen J. T., Norris C. J., McGraw A. P., Hawkley L. C., & Cacioppo J. T. (2009). The evaluative space grid: A single-item measure of positivity and negativity. Cognition and Emotion, 23(3), 453-480.
[33] Larsen, J. T., & Stastny, B. J. (2011). It's a bittersweet symphony: Simultaneously mixed emotional responses to music with conflicting cues. Emotion, 11(6), 1469-1473.
[34] Man V., Nohlen H. U., Melo H., & Cunningham W. A. (2017). Hierarchical brain systems support multiple representations of valence and mixed affect. Emotion Review, 9(2), 124-132.
[35] Mejía, S. T., & Hooker, K. (2017). Mixed emotions within the context of goal pursuit. Current Opinion in Behavioral Sciences, 15, 46-50.
[36] Polanía R., Moisa M., Opitz A., Grueschow M., & Ruff C. C. (2015). The precision of value-based choices depends causally on fronto-parietal phase coupling. Nature Communications, 6(1), Article 8090.
[37] Reisenzein, R. (2019). Cognition and emotion: A plea for theory. Cognition and Emotion, 33(1), 109-118.
[38] Russell, J. A., & Carroll, J. M. (1999). On the bipolarity of positive and negative affect. Psychological Bulletin, 125(1), 3-30.
[39] Scherer K. R.(2000). Emotions as episodes of subsystems synchronization driven by nonlinear appraisal processes. In M. D. Lewis, & I. Granic (Eds.), Emotion, development, and self-organization: Dynamic systems approaches to emotional development (pp. 70-99). Cambridge University Press.
[40] Shuman V., Sander D., & Scherer K. R. (2013). Levels of valence. Frontiers in Psychology, 4, Article 261.
[41] Vaccaro A. G., Kaplan J. T., & Damasio A. (2020). Bittersweet: The neuroscience of ambivalent affect. Perspectives on Psychological Science, 15(5), 1187-1199.
[42] Woo C. W., Chang L. J., Lindquist M. A., & Wager T. D. (2017). Building better biomarkers: Brain models in translational neuroimaging. Nature Neuroscience, 20(3), 365-377.
[43] Xia M., Chen J., & Li H. (2016). Tragedy or tragicomedy: Mixed feelings induced by positive and negative emotional events. Cognition and Emotion, 30(5), 857-867.
PDF(506 KB)

Accesses

Citation

Detail

Sections
Recommended

/