A thought in the park: The influence of naturalness and low-level visual features on expressed thoughts

Schertz, Kathryn E.; Sachdeva, Sonya; Kardan, Omid; Kotabe, Hiroki; Wolf, Kathleen L.; Berman, Marc G.

doi:10.1016/j.cognition.2018.01.011

Cited by 47 publications

(53 citation statements)

References 41 publications

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“…Importantly, we were not interested in baseline topic selection, but rather how topics were selected differentially for VISUAL FEATURES AND THOUGHT CONTENT different image categories. Thus, in accordance with the results of Schertz et al (2018), we predicted that images with higher NSED would lead to a higher selection of the Spiritual & Life Journey topic, and that images with higher naturalness would lead to less selection of the Spiritual & Life Journey topic. We also predicted that the Nature topic would be chosen more under both conditions of high naturalness and high NSED.…”

Section: Visual Features and Thought Contentsupporting

confidence: 85%

“…It has recently been shown that the physical environment can also influence thought content and valence (Lim et al, 2018;MacKerron & Mourato, 2013;Schertz et al, 2018). This may be one pathway for these effects, as thoughts in turn can influence mood and behavior (Killingsworth & Gilbert, 2010;Pennebaker & Beall, 1986).…”

Section: Visual Features and Thought Contentmentioning

confidence: 99%

“…A recent set of studies (Schertz et al, 2018) found that perceiving different visual features was associated with changes in thought content. The visual features investigated were perceived naturalness and non-straight edge density (NSED).…”

Section: Visual Features and Thought Contentmentioning

confidence: 99%

“…We started with the 80 images that had been used as stimuli in Study 3 of Schertz et al (2018). These images were from the SUN image database (Xiao et al, 2010), and were chosen to include a large range of outdoor locations.…”

Section: Original Stimulimentioning

confidence: 99%

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Visual features influence thought content in the absence of overt semantic information

Schertz

Kardan

Berman

2020

Atten Percept Psychophys

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It has recently been shown that the perception of visual features of the environment can influence thought content. Both low-level (e.g., fractalness) and high-level (e.g., presence of water) visual features of the environment can influence thought content, in real-world and experimental settings where these features can make people more reflective and contemplative in their thoughts. It remains to be seen, however, if these visual features retain their influence on thoughts in the absence of overt semantic content, which could indicate a more fundamental mechanism for this effect. In this study, we removed this limitation, by creating scrambled edge versions of images, which maintain edge content from the original images but remove scene identification. Non-straight edge density is one visual feature which has been shown to influence many judgements about objects and landscapes, and has also been associated with thoughts of spirituality. We extend previous findings by showing that non-straight edges retain their influence on the selection of a "Spiritual & Life Journey" topic after scene identification removal. These results strengthen the implication of a causal role for the perception of low-level visual features on the influence of higher-order cognitive function, by demonstrating that in the absence of overt semantic content, low-level features, such as edges, influence cognitive processes.

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Section: Visual Features and Thought Contentsupporting

confidence: 85%

Section: Visual Features and Thought Contentmentioning

confidence: 99%

Section: Visual Features and Thought Contentmentioning

confidence: 99%

Section: Original Stimulimentioning

confidence: 99%

See 2 more Smart Citations

Visual features influence thought content in the absence of overt semantic information

Schertz

Kardan

Berman

2020

Atten Percept Psychophys

Self Cite

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“…The results of worldwide research [16,[51][52][53] indicate that people would like to live where they feel best-where positive emotions considerably exceed the negative emotions. The objective of this Case Study was to establish the most rational market segments by geographic criteria (four green and energy efficient housing units at the intersections under analysis along with the respective levels of air and noise pollution within them), demographic criteria (21-30 and 31-40-year-old males and females), and psychographic and consumer behavior criteria (happiness, sadness, anger, valence, and heart rate).…”

Section: Compilation Of a Neuro Decision-making Matrixmentioning

confidence: 99%

A Multisensory, Green, and Energy Efficient Housing Neuromarketing Method

et al. 2019

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Green products, clean energy, energy union, green buildings, eco-innovations, environment-related, and similar initiatives and policies have become very popular and widely applied all over the world. A pleasant built environment (parks, flowerbeds, beautiful buildings) and a repulsive environment (noise, polluted surroundings) influence a buyer’s outlook on an advertisement differently. An aesthetic, comfortable, and clean built environment evokes positive emotional states, not only at the time of housing selection and purchase but during the building’s life cycle as well. Potential housing buyers always feel comfortable in certain built environments, and they are inclined to spend more time there. The issues needing answers are how to measure the segmentation/physiological indicators (crowd composition by gender and age groups), as well as the emotional (happy, sad, angry, valence) and physiological (heart rate) states of potential homebuyers realistically, to produce an integrated evaluation of such data and offer buyers rational, green, and energy efficient housing alternatives. To achieve this purpose, the Multisensory, green and energy efficient housing neuromarketing method was developed to generate the necessary conditions. Here, around 200 million multisensory data recordings (emotional and physiological states) were accumulated, and the environmental air pollution (CO, NO2, PM10, volatile organic compounds) and noise pollution were investigated. Specific green and energy efficient building case studies appear in this article to demonstrate the developed method clearly. The obtained research results are in line with those from previous and current studies, which state that the interrelation of environmental responsiveness and age forms an inverse U and that an interest in green and energy efficient housing depends on age.

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Color and naturalness: How color saturation shapes tourists' perception and purchase intention

Zhang,

Hou,

2024

Journal of Tourism Research

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Many tourist destinations and hospitality companies are using the idea of “naturalness” to attract consumers in the post‐pandemic era. The current research explores the impact of color, a fundamental element in tourism marketing materials, on shaping tourists' perceptions of naturalness and subsequent purchase intention. Through three experimental studies, our research reveals a lay belief that associates color saturation with naturalness perception. While prior research has indicated that highly saturated colors can positively impact consumers, our findings suggest that this effect may not always hold. Specifically, low color saturation in tourism marketing materials increased tourists' perceptions of naturalness and purchase intentions. These findings contribute to the theoretical development of color psychology and support the development of sustainable tourism and hospitality practices that prioritize managing natural resources.

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A thought in the park: The influence of naturalness and low-level visual features on expressed thoughts

Cited by 47 publications

References 41 publications

Visual features influence thought content in the absence of overt semantic information

Visual features influence thought content in the absence of overt semantic information

A Multisensory, Green, and Energy Efficient Housing Neuromarketing Method

Color and naturalness: How color saturation shapes tourists' perception and purchase intention

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