Introduction
The impacts of the emotion of a functioning memory and execute control are usually studied in isolation (Storbeck & Maswood, 2016). A jovial mood improves verbal and destroys spatial working memory. On the other hand, a foul mood increases spatial and does not encourage verbal functioning memory. Conversely, optimistic mood augments executive control (Storbeck & Maswood, 2016). The paper will assess how feelings affect verbal and spatial functioning memory volume, which needs to execute control to manage among preserving data, and finishing a secondary task.
Before determining the method to apply when testing the validity of the research question. There are possible outcomes that might be expected, such as an optimistic mood associated to neutral state enhanced performance on the verbal operation, while a bad mood condition did not. In a nutshell, happiness can augment more verbal operation and suppress further the spatial functioning (Storbeck & Maswood, 2016).
In this experiment, One hundred and thirty (90 females, 38 males, 2 Unreported) students from NewYork University participated to attain a course prerequisite. All the participants had a normal vision, and their mean age was 20.62 years (Storbeck & Maswood, 2016). They were induced with positive mood (happiness) watching a 5-minute clip from Trevor Noah and a negative mood watching a 5- minute clip from "The Champ" induced randomly on the students. The mood check comprised of a tour of two questions examining arousal (Storbeck & Maswood, 2016).
Procedure
The participants were told display the stimulations they got, while watching the films using a five-point scale, and each query comprised of different anchors. For stimulation, the short texts included "not at all aroused" (1), "Very alert" (6). The two arousal quizzes will be averaged together to develop the complex score valence (Storbeck & Maswood, 2016).
Results
The results of these tests show that two participants that garnered lower than the set 80% were to be scrapped off from the analysis. One person in the positive condition did not report demographic and mood manipulation verification data (Storbeck & Maswood, 2016). On a mood manipulation check, ANOVAs were run to evaluate the group discrepancies for the valence score and the arousal score. In the case of valence, we observed that a momentous primary effect (Storbeck & Maswood, 2016). The analysis done by Tukey revealed more positive aspects compared to negative aspects. The participants were tested their numeracy skills to determine whether the emotion affected performance. The solitary ANOVA of both positive and bad mood for all math problems revealed a great effect. The positive aspect grew better than the negative condition (Storbeck & Maswood, 2016).
Further Analysis
The partial-scoring technique was used for those students who had opted to participate in the numeracy skills. 30 males and 80 females participated in the research. The results show that 26 males 1 (tallied accurately), and 75 females had also tallied one. 2 males got a zero, and 4 females got a zero (Storbeck & Maswood, 2016). On-time consumed on recalling words; One assumption is likely to be that individuals with a positive mood may augment their motivation to continue with the task or channel more effort on productive things. The time consumed was calculated by running a repeated ANOVA with emotion as a between-subjects' factor and determine size as within-subjects.
Overall Discussion
It is observed that positive mood improves productivity and performance on difficult tasks as opposed to both neutral and adverse mood people (Pessoa, 2009). Those with an optimistic condition did their tests exemplary across all three set sizes. Moreover, they felt that people with positive mood had a track record of effective performance on the jobs. This implied that positive mood, and not to arouse is the best predictor of performance (Pessoa, 2009). Yang et al. (2013) noted that individuals with an optimistic mood enhanced their performance on difficult and thought-provoking tasks compared to a neutral mood situation (Pessoa, 2009). Their research was broadened by demonstrating that negative mood does not hinder performance compared to a neutral induced person.
Conclusion
The objectives of this study are to highlight how optimistic and bad moods can impact the level of control one has when having verbal communication. Hypothetically, a positive mood would improve full control of a task without the working memory sphere, hence improving both spoken and spatial working memory capacity. The negative mood would also allow full control, especially when spatial working memory is needed. Finally, the association between both moods and working memory capacity would appear.
References
Yang, H., Yang, S., & Isen, A. M. (2013). Positive affect improves working memory: Implications for controlled cognitive processing. Cognition & emotion, 27(3), 474-482. Retrieved from: http://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=2387&context=soss_research
Pessoa, L. (2009). How do emotion and motivation direct executive control?. Trends in cognitive sciences, 13(4), 160-166. Retrieved from: https://www.sciencedirect.com/science/article/pii/S1364661309000461
Storbeck, J., & Maswood, R. (2016). Happiness increases verbal and spatial working memory capacity where sadness does not: Emotion, working memory and executive control. Cognition and Emotion, 30(5), 925-938. Retrieved from: file:///C:/Users/User/Downloads/StorbeckandMaswood2015.pdf
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Essay on the Impact of Emotional Mood on Working Memory and Executive Control. (2023, Mar 12). Retrieved from https://proessays.net/essays/essay-on-the-impact-of-emotional-mood-on-working-memory-and-executive-control
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