Correlating fluency theory-based visual aesthetic liking of landscape with landscape types and features

Gülçin, Derya; Yalçınkaya, Nermin Merve

doi:10.1080/10095020.2022.2125836

Cited by 4 publications

(4 citation statements)

References 81 publications

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“…While researchers, administrators and many stakeholders have started to realize the benefits of UGW in promoting mental health, we still need more empirical evidence to understand the effects of different vegetation design along the UGW. Previous studies have demonstrated vegetation types as a significant feature that correlates visual aesthetics and landscape types ( 74 ), which play an important role determining the visual aesthetic quality (VAQ) of landscape ( 75 ). Specifically, strong color contrast and mixed use of evergreen and deciduous vegetation can increase VAQ effectively ( 76 ).…”

Section: Discussionmentioning

confidence: 99%

Effects of virtual exposure to urban greenways on mental health

Jiang,

Wang,

et al. 2024

Front. Psychiatry

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Urban greenways (UGW) are increasingly recognized as vital components of urban green infrastructure (UGI). While existing research has provided empirical evidence on the positive impacts of UGW on physical health, studies focusing on the effects on mental health remain limited. Moreover, previous investigations predominantly compare UGW as a whole with other built environments, neglecting the influence of specific vegetation designs along UGW on mental health. To address this research gap, we conducted a randomized controlled experiment to examine the impact of vegetation design along UGW on stress reduction and attention restoration. A total of 94 participants were randomly assigned to one of four UGW conditions: grassland, shrubs, grassland and trees, or shrubs and trees. Utilizing immersive virtual reality (VR) technology, participants experienced UGW through a 5-min video presentation. We measured participants’ subjective and objective stress levels and attentional functioning at three time-points: baseline, pre-video watching, and post-video watching. The experimental procedure lasted approximately 40 minutes. Results of the repeated-measures ANOVA revealed that participants experienced increased stress and mental fatigue after the stressor and decreased levels following the UGW intervention. Furthermore, between-group analyses demonstrated that the shrubs group and the grassland and trees group exhibited significantly greater stress reduction than the grassland group. However, there are no significant differences in attention restoration effects between the four groups. In conclusion, virtual exposure to UGW featuring vegetation on both sides positively affected stress reduction and attention restoration. It is recommended that future UGW construction incorporates diverse vegetation designs, including shrubs or trees, instead of solely relying on grassland. More research is needed to explore the combined effects of shrubs and trees on mental health outcomes.

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Section: Discussionmentioning

confidence: 99%

Effects of virtual exposure to urban greenways on mental health

Jiang,

Wang,

et al. 2024

Front. Psychiatry

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“…Usually, Instagram users selectively share their daily experiences and express themselves through photographs [72]. Although this platform is advantageous in analyzing human activities, computer vision analysis is limited by privacy policies [73,74]. In addition, Instagram location representations use georeferenced tags, rather than actual shooting locations, from photographs' meta-information [57].…”

Section: Social Media Platforms and Datamentioning

confidence: 99%

Social Media Image and Computer Vision Method Application in Landscape Studies: A Systematic Literature Review

Ma,

Furuya

2024

Land

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This study systematically reviews 55 landscape studies that use computer vision methods to interpret social media images and summarizes their spatiotemporal distribution, research themes, method trends, platform and data selection, and limitations. The results reveal that in the past six years, social media–based landscape studies, which were in an exploratory period, entered a refined and diversified phase of automatic visual analysis of images due to the rapid development of machine learning. The efficient processing of large samples of crowdsourced images while accurately interpreting image content with the help of text content and metadata will be the main topic in the next stage of research. Finally, this study proposes a development framework based on existing gaps in four aspects, namely image data, social media platforms, computer vision methods, and ethics, to provide a reference for future research.

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“…Landscape characters have multiple values, and landscape information can only be observed, received, and then perceived in the brain by a human being in order to make a description that is consistent with landscape characters [30]. However, a commonality can be summarised from the known landscape character studies; even though professional landscape research organisations are using the LCA [31][32][33] methodology, they often tend to choose to start with aspects of regional culture and natural environment for the study of landscape features in different regions. They seldom involve the participation of experiential users in the process of landscape character collection.…”

Section: Studies Related To the Landscape Features Perceptionmentioning

confidence: 99%

Delineating Landscape Features Perception in Tourism-Based Traditional Villages: A Case Study of Xijiang Thousand Households Miao Village, Guizhou

Wang,

Zhou,

Man

et al. 2024

Sustainability

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This study is a feature perception study of traditional village landscapes, refines the research method of traditional village landscape features using tourists online comment data, combs the landscape perception features of Xijiang Thousand Households Miao Village from tourists perspectives, digs out the managers’ problems in landscape planning, protection, utilisation, and puts forward the corresponding improvement strategies. In this paper, the Octopus data collector was used to collect online evaluation data from nine target platforms, and ROST CM6 was used to analyse the data for word frequency analysis, semantic network analysis, and sentiment analysis. Finally, using Nvivo12, the data was coded and a multidimensional model of landscape perception was constructed: natural landscapes, cultural and social landscapes, perceived landscapes, seasonal landscapes, and services and infrastructures. The results show that in the landscape perception model, the cultural and social landscape modules are the core factors affecting tourists’ psychological perceptions, with most tourists holding positive emotions towards the scenic spots and a few negative emotions mainly focusing on the relatively weak natural landscape, the unsatisfactory road system and charging system, and the over-commercialised development. In response to these problems, this study proposes corresponding planning recommendations. The results of the study reflect the trend of deep integration of culture and tourism in traditional villages in China, respond to the policy guidance of China’s rural revitalisation policy, and provide useful references and insights for the landscape construction and development of the Xijiang Thousand Households Miao Village and even similar tourist-oriented traditional villages.

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Correlating fluency theory-based visual aesthetic liking of landscape with landscape types and features

Cited by 4 publications

References 81 publications

Effects of virtual exposure to urban greenways on mental health

Effects of virtual exposure to urban greenways on mental health

Social Media Image and Computer Vision Method Application in Landscape Studies: A Systematic Literature Review

Delineating Landscape Features Perception in Tourism-Based Traditional Villages: A Case Study of Xijiang Thousand Households Miao Village, Guizhou

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