The Effect of Landscape Colors on University Students' Burnout: A Simulation-Based Perception and Preference Test with AI-Image Generative | [Pakistan Journal of Life and Social Sciences • 2025]

Author(s):

1. Akhmad Arifin Hadi: Department of Landscape Architecture, Faculty of Agriculture, IPB University, Indonesia

2. Andi Gunawan: Department of Landscape Architecture, Faculty of Agriculture, IPB University, Indonesia

3. Sholihin Nafar: Department of Landscape Architecture, Faculty of Agriculture, IPB University, Indonesia

4. Fauzan Ilham Kamaluddin Syah: Department of Landscape Architecture, Faculty of Agriculture, IPB University, Indonesia

Abstract:

Academic burnout occurs when university students experience a loss of motivation and difficulty concentrating as a result of overwork. The increasing awareness of mental health since COVID-19 presents new opportunities for university stakeholders to develop restorative environments that enhance students' psychological well-being, particularly through campus landscape considerations. Numerous studies indicate that the color of landscape elements may influence cognitive ability in individuals. This study examines the impact of color on students' burnout, utilizing a case from IPB University in Indonesia. This study utilizes a qualitative methodology to analyze students' perceptions of color aesthetic quality through Scenic Beauty Estimation (SBE), students' preferences linked to four positive emotions, including calmness, joyfulness, motivation, and enthusiasm, and offers recommendations for effective colors aimed at reducing burnout. Respondents observe 13 landscape image simulations created by artificial intelligence (AI), utilizing diverse colors and compositions by Brewster Color Theory. AI-image generative is regarded as dependable for generating uniform images and facilitating research on perception and preference tests. Research indicates that burnout among university students is prevalent, with female students exhibiting significantly higher levels of burnout, particularly in terms of loss of motivation symptoms. Colors exhibiting high SBE scores are white (199), green (148), and yellow (140). In contrast, compositions with low SBE scores include split complementary (-63), red (-55), and complementary (45). Yellow and white are significant (p<0.05) in mitigating burnout by promoting positive emotions. In contrast, blue and compositions such as split complementary, square, and complementary are associated with a significant increase in burnout (p<0.05) by reducing positive emotions. The findings highlight the significance of employing yellow and white as primary colors in landscape designs, especially in healing gardens, to mitigate student burnout. Subsequent studies may employ advanced technologies, including virtual and augmented reality, to enhance the realism and accuracy of preference assessments.

Page(s): 6218-6232

DOI: 10.57239/PJLSS-2025-23.1.00484

Published: Journal: Pakistan Journal of Life and Social Sciences, Volume: 23, Issue: 1, Year: 2025

Keywords:

Academic Artificial Intelligence Color Composition Landscape Design Preference

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