scholarly journals Combining Music and Indoor Spatial Factors Helps to Improve College Students’ Emotion During Communication

2021 ◽  
Vol 12 ◽  
Author(s):  
Jiani Jiang ◽  
Qi Meng ◽  
Jingtao Ji
Keyword(s):  
College Students ◽  
Social Interaction ◽  
Average Score ◽  
Living Room ◽  
Spatial Factors ◽  
Interactive Behavior ◽  
Emotional Model ◽  
Sound Environment ◽  
The Impact ◽  
Indoor Spaces

Against the background of weakening face-to-face social interaction, the mental health of college students deserves attention. There are few existing studies on the impact of audiovisual interaction on interactive behavior, especially emotional perception in specific spaces. This study aims to indicate whether the perception of one’s music environment has influence on college students’ emotion during communication in different indoor conditions including spatial function, visual and sound atmospheres, and interior furnishings. The three-dimensional pleasure–arousal–dominance (PAD) emotional model was used to evaluate the changes of emotions before and after communication. An acoustic environmental measurement was performed and the evaluations of emotion during communication was investigated by a questionnaire survey with 331 participants at six experimental sites [including a classroom (CR), a learning corridor (LC), a coffee shop (CS), a fast food restaurant (FFR), a dormitory (DT), and a living room(LR)], the following results were found: Firstly, the results in different functional spaces showed no significant effect of music on communication or emotional states during communication. Secondly, the average score of the musical evaluation was 1.09 higher in the warm-toned space compared to the cold-toned space. Thirdly, the differences in the effects of music on emotion during communication in different sound environments were significant and pleasure, arousal, and dominance could be efficiently enhanced by music in the quiet space. Fourthly, dominance was 0.63 higher in the minimally furnished space. Finally, we also investigated influence of social characteristics on the effect of music on communication in different indoor spaces, in terms of the intimacy level, the gender combination, and the group size. For instance, when there are more than two communicators in the dining space, pleasure and arousal can be efficiently enhanced by music. This study shows that combining the sound environment with spatial factors (for example, the visual and sound atmosphere) and the interior furnishings can be an effective design strategy for promoting social interaction in indoor spaces.

scholarly journals Social Interaction of Class IV Elementary School Students During the Covid-19 Pandemic

2021 ◽  
Vol 5 (4) ◽  
pp. 648
Author(s):  
Mayang Afriani ◽  
Zaka Hadikusuma Ramadan
Keyword(s):  
Elementary School ◽  
Social Interaction ◽  
Average Score ◽  
Research Subjects ◽  
School Students ◽  
Face To Face ◽  
Average Value ◽  
Working Together ◽  
Data Collection Technique ◽  
The Impact

Students also experience the impact of Covid-19 by limiting social interaction. However, social interaction is needed for a child to build character and social skills in interacting with other people. This study aimed to analyze patterns of social interaction in the fourth grade COVID-19 period in elementary school. The research subjects were 3 teachers and 90 students. The research instruments are interviews and questionnaires. The data collection technique used in this study was non-test, namely a questionnaire (questionnaire) and interviews. The results showed that social interaction during the pandemic was less effective. As evidenced by the five indicators, working together has an average score of 82.43%; during a pandemic, it is less effective due to limitations and many obstacles. The openness of the average value of 82.43% is classified as "good," and many students still do not understand technology for online learning and how to use it—empathy, with an average value of 80.95% (good). There is already an awareness in students to empathize with their friends. Giving motivation an average value of 79.70% is classified as "good" when learning students support each other and work together in doing assignments together at home. With a positive sense of the average value of 81.56%, students can develop positive values in the surrounding environment. Similarity with others, the average value is 82.15%, there is an attitude of equality in students to their friends in working on assignments and collecting assignments. It can be concluded that students' social interactions during the current Covid-19 period are not running perfectly compared to face-to-face.

The Impact of Neurotherapy on College Students' Cognitive Abilities and Emotions

2008 ◽  
Author(s):  
Krista K. Fritson ◽  
Theresa A. Wadkins ◽  
Pat Gerdes ◽  
David Hof
Keyword(s):  
College Students ◽  
Cognitive Abilities ◽  
The Impact

Impact Of Modernization Among College Students In Prayagraj District, Uttar Pradesh

2019 ◽  
Vol 5 (4) ◽  
pp. 21-26
Author(s):  
Purvi Nishad ◽  
Anjali Mathur ◽  
Anshu ◽  
Nisha Chacko
Keyword(s):  
College Students ◽  
Uttar Pradesh ◽  
Age Group ◽  
Adolescent Boys ◽  
The Impact

The present study was to assess the impact of modernization among the college students across gender, socio cultural settings and socio economic groups among adolescent boys and girls in the age group of 17 to 21 year.

Eating Behavior of Brazilian College Students: Influences of Lifestyle, Negative Affectivity, and Personal Characteristics

2020 ◽  
pp. 003151252098308
Author(s):  
Bianca G. Martins ◽  
Wanderson R. da Silva ◽  
João Marôco ◽  
Juliana A. D. B. Campos
Keyword(s):  
College Students ◽  
Eating Behavior ◽  
Emotional Eating ◽  
Eating Behaviors ◽  
Structural Model ◽  
Negative Affectivity ◽  
Personal Characteristics ◽  
Second Order ◽  
The Impact ◽  
The Relationship

In this study we proposed to estimate the impact of lifestyle, negative affectivity, and college students’ personal characteristics on eating behavior. We aimed to verify that negative affectivity moderates the relationship between lifestyle and eating behavior. We assessed eating behaviors of cognitive restraint (CR), uncontrolled eating (UE), and emotional eating (EE)) with the Three-Factor Eating Questionnaire-18. We assessed lifestyle with the Individual Lifestyle Profile, and we assessed negative affectivity with the Depression, Anxiety and Stress Scale-21. We constructed and tested (at p < .05) a hypothetical causal structural model that considered global (second-order) and specific (first-order) lifestyle components, negative affectivity and sample characteristics for each eating behavior dimension. Participants were 1,109 college students ( M age = 20.9, SD = 2.7 years; 65.7% females). We found significant impacts of lifestyle second-order components on negative affectivity (β = −0.57–0.19; p < 0.001–0.01) in all models. Physical and psychological lifestyle components impacted directly only on CR (β=−0.32–0.81; p < 0.001). Negative affectivity impacted UE and EE (β = 0.23–0.30; p < 0.001). For global models, we found no mediation pathways between lifestyle and CR or UE. For specific models, negative affectivity was a mediator between stress management and UE (β=−0.07; p < 0.001). Negative affectivity also mediated the relationship between thoughts of dropping an undergraduate course and UE and EE (β = 0.06–0.08; p < 0.001). Participant sex and weight impacted all eating behavior dimensions (β = 0.08–0.34; p < 0.001–0.01). Age was significant for UE and EE (β=−0,14– −0.09; p < 0.001–0.01). Economic stratum influenced only CR (β = 0.08; p = 0.01). In sum, participants’ lifestyle, negative emotions and personal characteristics were all relevant for eating behavior assessment.

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