Emotion-Related Traits Moderate the Impact of Emotional State on Creative Performances

2008 ◽  
Vol 29 (3) ◽  
pp. 157-167 ◽  
Author(s):  
Franck Zenasni ◽  
Todd I. Lubart

The present study shows that the impact of emotional states on creativity depends on individual emotional characteristics as well as the type of task used. The results found during the last 30 years diverge concerning relationships between emotion and creative cognition. For this reason, we conducted a study to explore whether the impact of emotional states on creative potential is moderated by individuals’ emotional traits. Using a multivariate approach, we measured (1) emotional valence and arousal level of participants after an emotional induction, (2) emotional traits (e.g., alexithymia, emotional expressivity, affective intensity, emotional idiosyncrasy), and (3) quantity, originality, and valence of generated ideas in two distinct divergent thinking tasks. Participants were 107 undergraduate university students. Regression analyses confirm our hypothesis showing that the impact of emotional states on creative performance is not uniform, but depends on participants’ emotional state and emotion-related traits. For example, we observed that the more individuals had difficulty with emotional information and the higher their level of arousal, the less they generated pleasant ideas. Several processes such as arousal regulation may explain the observed results.

2021 ◽  
Author(s):  
Natalia Albuquerque ◽  
Daniel S. Mills ◽  
Kun Guo ◽  
Anna Wilkinson ◽  
Briseida Resende

AbstractThe ability to infer emotional states and their wider consequences requires the establishment of relationships between the emotional display and subsequent actions. These abilities, together with the use of emotional information from others in social decision making, are cognitively demanding and require inferential skills that extend beyond the immediate perception of the current behaviour of another individual. They may include predictions of the significance of the emotional states being expressed. These abilities were previously believed to be exclusive to primates. In this study, we presented adult domestic dogs with a social interaction between two unfamiliar people, which could be positive, negative or neutral. After passively witnessing the actors engaging silently with each other and with the environment, dogs were given the opportunity to approach a food resource that varied in accessibility. We found that the available emotional information was more relevant than the motivation of the actors (i.e. giving something or receiving something) in predicting the dogs’ responses. Thus, dogs were able to access implicit information from the actors’ emotional states and appropriately use the affective information to make context-dependent decisions. The findings demonstrate that a non-human animal can actively acquire information from emotional expressions, infer some form of emotional state and use this functionally to make decisions.


2019 ◽  
Vol 18 (04) ◽  
pp. 1359-1378
Author(s):  
Jianzhuo Yan ◽  
Hongzhi Kuai ◽  
Jianhui Chen ◽  
Ning Zhong

Emotion recognition is a highly noteworthy and challenging work in both cognitive science and affective computing. Currently, neurobiology studies have revealed the partially synchronous oscillating phenomenon within brain, which needs to be analyzed from oscillatory synchronization. This combination of oscillations and synchronism is worthy of further exploration to achieve inspiring learning of the emotion recognition models. In this paper, we propose a novel approach of valence and arousal-based emotion recognition using EEG data. First, we construct the emotional oscillatory brain network (EOBN) inspired by the partially synchronous oscillating phenomenon for emotional valence and arousal. And then, a coefficient of variation and Welch’s [Formula: see text]-test based feature selection method is used to identify the core pattern (cEOBN) within EOBN for different emotional dimensions. Finally, an emotional recognition model (ERM) is built by combining cEOBN-inspired information obtained in the above process and different classifiers. The proposed approach can combine oscillation and synchronization characteristics of multi-channel EEG signals for recognizing different emotional states under the valence and arousal dimensions. The cEOBN-based inspired information can effectively reduce the dimensionality of the data. The experimental results show that the previous method can be used to detect affective state at a reasonable level of accuracy.


2007 ◽  
Vol 29 (5) ◽  
pp. 584-607 ◽  
Author(s):  
Daniel T. Bishop ◽  
Costas I. Karageorghis ◽  
Georgios Loizou

The main objectives of this study were (a) to elucidate young tennis players’ use of music to manipulate emotional states, and (b) to present a model grounded in present data to illustrate this phenomenon and to stimulate further research. Anecdotal evidence suggests that music listening is used regularly by elite athletes as a preperformance strategy, but only limited empirical evidence corroborates such use. Young tennis players (N = 14) were selected purposively for interview and diary data collection. Results indicated that participants consciously selected music to elicit various emotional states; frequently reported consequences of music listening included improved mood, increased arousal, and visual and auditory imagery. The choice of music tracks and the impact of music listening were mediated by a number of factors, including extramusical associations, inspirational lyrics, music properties, and desired emotional state. Implications for the future investigation of preperformance music are discussed.


2015 ◽  
Vol 112 (10) ◽  
pp. 3116-3121 ◽  
Author(s):  
Tomáš Sieger ◽  
Tereza Serranová ◽  
Filip Růžička ◽  
Pavel Vostatek ◽  
Jiří Wild ◽  
...  

Both animal studies and studies using deep brain stimulation in humans have demonstrated the involvement of the subthalamic nucleus (STN) in motivational and emotional processes; however, participation of this nucleus in processing human emotion has not been investigated directly at the single-neuron level. We analyzed the relationship between the neuronal firing from intraoperative microrecordings from the STN during affective picture presentation in patients with Parkinson’s disease (PD) and the affective ratings of emotional valence and arousal performed subsequently. We observed that 17% of neurons responded to emotional valence and arousal of visual stimuli according to individual ratings. The activity of some neurons was related to emotional valence, whereas different neurons responded to arousal. In addition, 14% of neurons responded to visual stimuli. Our results suggest the existence of neurons involved in processing or transmission of visual and emotional information in the human STN, and provide evidence of separate processing of the affective dimensions of valence and arousal at the level of single neurons as well.


1998 ◽  
Vol 87 (2) ◽  
pp. 531-535 ◽  
Author(s):  
David Ziems ◽  
Stephen Christman

Effect of observers' emotional state on color discrimination was examined. Observers in happy ( n = 18) versus sad ( n = 18) emotional states, as induced by Eich and Metcalfe's 1989 procedure, were faster at discriminating high versus low arousal colors, respectively. Emotional state of observers had no effect on processing colors differing in valence.


2020 ◽  
Vol 13 (4) ◽  
pp. 4-24 ◽  
Author(s):  
V.A. Barabanschikov ◽  
E.V. Suvorova

The article is devoted to the results of approbation of the Geneva Emotion Recognition Test (GERT), a Swiss method for assessing dynamic emotional states, on Russian sample. Identification accuracy and the categorical fields’ structure of emotional expressions of a “living” face are analysed. Similarities and differences in the perception of affective groups of dynamic emotions in the Russian and Swiss samples are considered. A number of patterns of recognition of multi-modal expressions with changes in valence and arousal of emotions are described. Differences in the perception of dynamics and statics of emotional expressions are revealed. GERT method confirmed it’s high potential for solving a wide range of academic and applied problems.


2021 ◽  
Author(s):  
Mykhailo Filon ◽  
◽  
Yevheniia Borsuk ◽  

The article considers advertising and its colors. A study of the impact of color on the purchasing power of consumers on the example of well-known nonsense that is popular for Ukrainian buyers, advertising and its color scheme, the impact of color on the purchasing power of consumers. Perception of color and emotional attitude to it depends mainly on the emotional state of man and the associations they arise. Certain emotional states of a person correspond to his attitude to color, shade and combination of colors: one color is preferred, another does not cause special emotions, the third is completely rejected. And also it is possible to note about age features of the relation to color scale.


Author(s):  
Vicente Ávila-Gandía ◽  
Francisco Alarcón ◽  
José C. Perales ◽  
F. Javier López-Román ◽  
Antonio J. Luque-Rubia ◽  
...  

Endurance physical exercise is accompanied by subjective perceptions of exertion (reported perceived exertion, RPE), emotional valence, and arousal. These constructs have been hypothesized to serve as the basis for the exerciser to make decisions regarding when to stop, how to regulate pace, and whether or not to exercise again. In dual physical-cognitive tasks, the mental (executive) workload generated by the cognitive task has been shown to influence these perceptions, in ways that could also influence exercise-related decisions. In the present work, we intend to replicate and extend previous findings that manipulating the amount of executive load imposed by a mental task, performed concomitantly with a submaximal cycling session, influenced emotional states but not perceived exertion. Participants (experienced triathletes) were asked to perform a submaximal cycling task in two conditions with different executive demands (a two-back version of the n-back task vs. oddball) but equated in external physical load. Results showed that the higher executive load condition elicited more arousal and less positive valence than the lower load condition. However, both conditions did not differ in RPE. This experimental dissociation suggests that perceived exertion and its emotional correlates are not interchangeable, which opens the possibility that they could play different roles in exercise-related decision-making.


2021 ◽  
pp. 147715352199959
Author(s):  
H Lee ◽  
E Lee

This study examined the effects of lighting colour on emotional states and the effects of ethnicity on the impact of lighting colours on emotional states, based on the Mehrabian and Russell’s emotional state model measuring pleasure, arousal and dominance. It was hypothesised that there are significant differences in pleasure and arousal among six lighting colours: red, green, blue, yellow, orange and purple and that different ethnicities (i.e. Asian and Caucasian) can influence the effects of the six lighting colours on pleasure and arousal. To test the hypotheses, an experiment was conducted in a controlled lab using a colour-changing LED lighting fixture with 82 participants. The results revealed that there were significant differences in pleasure and arousal among the six lighting colours. Ethnicity had significant effects on the impact of lighting colour on pleasure but not on arousal. Blue was the most pleasant lighting colour and showed significantly higher pleasure than red and purple. Red was the least pleasant lighting colour and showed significantly lower pleasure than all other lighting colours. Asians found red and purple lighting significantly less pleasant than all other colours and tended to feel more unpleasant when exposed to red, orange and purple lighting than Caucasians.


2020 ◽  
Author(s):  
Frank Schweitzer ◽  
Tamas Krivachy ◽  
David Garcia

We provide an agent-based model to explain the emergence of collective opinions not based on feedback between different opinions, but based on emotional interactions between agents. The driving variable is the emotional state of agents, characterized by their valence, quantifying the emotion from unpleasant to pleasant, and their arousal, quantifying the degree of activity associated with the emotion. Both determine their emotional expression, from which collective emotional information is generated. This information feeds back on the dynamics of emotional states and of individual opinions in a non-linear manner. We derive the critical conditions for emotional interactions to obtain either consensus or polarization of opinions. Stochastic agent-based simulations and formal analyses of the model explain our results. Possible ways to validate the model are discussed.


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