> ## Documentation Index
> Fetch the complete documentation index at: https://meta.niceshare.site/llms.txt
> Use this file to discover all available pages before exploring further.
# Aesthetic Fatigue
> Aesthetic Fatigue is a later drop in beauty after the same scene repeats. Learn the exposure curve, one park-photo result, and where it fails.
**Category**: Effects
**Type**: A later drop in a beauty rating after the same visual stimulus is shown again. The counted result is preference for photographs, not a brain scan and not eyestrain
**Origin**: Wenyan Xu and Jingwei Zhao, *International Journal of Environmental Research* 17, article 27 (2023), DOI 10.1007/s41742-023-00517-x. They print visual aesthetic fatigue. The full text was read. The rising limb is Robert B. Zajonc, *Journal of Personality and Social Psychology* monograph, volume 9, number 2, part 2 (June 1968), pages 1–27
**Also known as**: visual aesthetic fatigue. Art fatigue is the question in a 2022 paper that was not re-read. Hedonic decline is a broader review name for less enjoyment after repetition. None of those is a second title
**Quick Answer** — Aesthetic Fatigue, on this page, is a later drop in how beautiful the same scene feels after it has been shown again. Xu and Zhao print the laboratory name visual aesthetic fatigue. In one classroom, 36 students rated 16 park photographs four times, one week apart, and the authors summarize an average loss of 11.4 percent of the aesthetic value from the first rating to the fourth. That percent is their summary of those photographs. It is not a city, an advertisement, or a marriage.
## What is Aesthetic Fatigue?
Aesthetic Fatigue is a later drop in a beauty rating after the same visual stimulus has been repeated.
> "Generally, VAF occurred in urban green spaces and resulted in an average loss of 11.4% of the aesthetic value when the same landscape was repeated four times at an interval of one week."
That sentence is Wenyan Xu and Jingwei Zhao, in *International Journal of Environmental Research* 17, article 27, published 4 March 2023. VAF is their abbreviation for visual aesthetic fatigue. They mean a lower preference rating for the same photograph, on a scale from 1 (not at all) to 7 (very beautiful). They do not print Aesthetic Fatigue as a separate classic title. This page uses Aesthetic Fatigue for that drop.
A favorite shirt is a fair picture. In the first weeks it looks sharp. After a season of the same shirt every morning, the cloth has not changed and the pleasure often has. The shirt study does not exist. The counted version is sixteen photographs.
Early repeats can move the other way. [Mere Exposure Effect](/effects/mere-exposure-effect) is the finding that making a stimulus available to perception can raise the attitude toward it. Aesthetic Fatigue is the later fall, not that rise. A tired eye after a long screen is a different complaint. Xu and Zhao did not measure eyestrain.
### Aesthetic Fatigue in 3 Depths
* **Beginner**: If the fourth look at the same poster scores lower than the first, that gap is the cue. One extra look is not yet this drop.
* **Practitioner**: Score a design on a first viewing and again after people have lived with it. Keep the two numbers on separate lines. Do not copy 11.4 percent onto the brief.
* **Advanced**: The 11.4 percent is one authors' summary for 16 photographs and 36 students, with the printed pairwise test on the first rating versus the fourth. A 2017 meta-analysis abstract describes an inverted-U for visual stimuli across many studies. That curve is not a park budget, an ad, or a spouse.
## Origin
Aesthetic Fatigue is the name on this page. The paper that counts the drop prints visual aesthetic fatigue.
Robert B. Zajonc, at the University of Michigan, offered a different hypothesis in June 1968. Mere repeated exposure of a person to a stimulus object enhances the attitude toward it. By mere exposure he meant a condition that makes the stimulus available to perception. The monograph is *Journal of Personality and Social Psychology*, volume 9, number 2, part 2, pages 1–27, DOI 10.1037/h0025848. The results tables were not re-read. No frequency list from that monograph is on this page. The rising result lives on the [Mere Exposure Effect](/effects/mere-exposure-effect) page.
The curve that rises and then falls is a later summary, not a sentence in the 1968 opening. R. Matthew Montoya, Robert S. Horton, Jack L. Vevea, Martyna Citkowicz, and Elissa A. Lauber, *Psychological Bulletin* 143(5), May 2017, pages 459–498, DOI 10.1037/bul0000085, is abstract only. They estimated 268 curves from 81 articles. The abstract says the exposure effect had a positive slope and a negative quadratic effect, consistent with an inverted-U. It ties that shape to visual stimuli, not to auditory stimuli, in that analysis. It also ties the shape to exposures shorter than 10 seconds and longer than 1 minute, to both homogeneous and heterogeneous presentation, and to ratings taken after all the stimuli had been shown. The abstract says existing accounts do not adequately explain the findings. No cell mean from the 81 articles is on this page.
Jeff Galak and Joseph P. Redden, *Annual Review of Psychology* 69 (2018), pages 1–25, DOI 10.1146/annurev-psych-122216-011542, review hedonic decline: repeated exposure typically reduces enjoyment and the desire to have the stimulus again. Other literatures call the same drop satiation, habituation, or adaptation. Their account of the aggregate path names three shapes: a steady decline, a long rise, and a rise followed by a steeper fall. No study figure from that review is copied here. Hedonic decline stays a family name. It is not a second title for Aesthetic Fatigue.
Xu and Zhao cite Lin, Yang, and Huang, *Dictionary of Psychology* (Shanghai Education Press, 2003), for a sensory-adaptation reading: as a stimulus keeps acting on a receptor, the sensory response grows weaker. That dictionary was not re-read. No sentence from it is quoted, and no receptor count is on this page. They also cite Leventhal, Martin, Seals, Tapia, and Rehm, *Motivation and Emotion* 31 (2007), pages 145–157, for habituation to pleasant stimuli. That PDF was not re-read.
The counted paper is Wenyan Xu and Jingwei Zhao, "Investigating Visual Aesthetic Fatigue in Urban Green Spaces," *International Journal of Environmental Research* 17, article 27 (2023). The journal record is received 15 October 2022, revised 15 February 2023, accepted 18 February 2023, published 4 March 2023. Xu's affiliation on the paper is the Department of Architecture, University of Hong Kong. Zhao's is the School of Architecture and Design, China University of Mining and Technology, in Xuzhou. A funding line names the National Natural Science Foundation of China, grant 32071830. That grant is not a result.
Mikuni, Specker, Pelowski, Leder, and Kawabata ask, in the title, whether there is a general art-fatigue effect: *Psychology of Aesthetics, Creativity, and the Arts* 16 (2022), pages 343–360, DOI 10.1037/aca0000396. The PDF was not re-read. No cell from it is on this page.
## Key Points
Four readings keep a later beauty rating, a first rise in liking, and one classroom's 11.4 percent apart. A tired compliment is not a percent.
Xu and Zhao asked how beautiful a photograph looked, from 1 (not at all) to 7 (very beautiful). Visual aesthetic fatigue, in their use, is that rating falling as the same photograph returns. They did not record blinks, headaches, or hours at a screen. [Duration Neglect](/effects/duration-neglect) is a different miss: the length of one episode is underweighted in the score people later give that episode. Four separate weeks are not one episode's length.
Zajonc's 1968 hypothesis is that exposure can enhance attitude. Montoya and colleagues' 2017 abstract describes an inverted-U for visual stimuli: a positive slope, then a negative quadratic. Aesthetic Fatigue is the falling side of that shape. [Processing Fluency](/effects/processing-fluency) is the ease of taking a stimulus in. Ease can feel like a reason to like something. That page's minute gaps are not beauty ratings, and they do not belong on this percent. The 2017 abstract was not a license to name the exposure count where every picture turns.
The same 36 students saw the same 16 photographs four times, one week apart, from 5 May through 2 June 2022. Each session ran from 3:00 p.m. to 4:00 p.m. The room layout stayed fixed. An air conditioner held 26°C and 48 percent humidity. Photographs played one by one on a 1.6 by 1.2 meter screen, and the order changed at each session. A walk through a park is not that hour.
Nine of the 16 photographs fell at every step. The average of the 16 also fell at every step. A one-way ANOVA on the four evaluations was F = 2.946, p = 0.040. The pairwise test they print is the first evaluation against the fourth, p = 0.005. The 11.4 percent is their summary of the average loss of aesthetic value across that span. The prose does not print the four means, so this page does not rebuild 11.4 from a formula. Beauty scores did not differ by gender (Mann–Whitney U = 1995.000, p = 0.800). The drop did (U = 1596.500, p = 0.031). Xuzhou photographs against Hong Kong photographs did not (VAF U = 362.000, p = 0.101). No landscape feature entered their regression.
## Applications
Four checks keep a later rating from being treated as the first one, and keep 11.4 percent inside the classroom that produced it.
Before a team locks a poster, a slide style, or a park view, write the first beauty rating and a rating after people have seen the same image again. If only the first number exists, the decision is still on the rising side of the curve.
When the same place is in front of people every day, change one visible element on a written schedule. A later abstract from Zhao's group says colored foliage mitigated a two-day gap and not a seven-day gap. That abstract has no percent you can spend.
If a repeated picture scores lower, ask whether the offer, the words, or only the picture went flat. Rotating the picture while the offer stays put is a design move. It is not evidence that the 11.4 percent moved with the offer.
[Von Restorff Effect](/effects/von-restorff-effect) is better memory for an item that breaks a repeated list. A new plant color is not that memory test. Xu and Zhao found no landscape feature that predicted the drop in this sample.
## Case Study
Xu and Zhao wanted to know whether a repeated park photograph loses aesthetic value, and whether anything in the picture predicts that loss. The stimuli were photographs, used as stand-ins for being in the place. They drew 16 by stratified random sampling from a pool of more than 200. Ten were taken in Xuzhou in summer 2017. Six were taken in Hong Kong in summer 2021. The camera was a Nikon D3400, focal length 35 mm, aspect ratio 16:9, on clear or less cloudy days, between 9:00 a.m. and 4:00 p.m., at about 152 cm above the ground. Season was held to summer so the comparison would not be a change of season.
The raters were 36 juniors at China University of Mining and Technology, recruited by a snowball that started with five students. All were volunteers and signed consent. Ages were 20 to 22. Twenty-one were women and 15 were men. The paper describes them as Han and living in China. They had been admitted in early September 2019 and had lived in Xuzhou for almost three years, so the Xuzhou photographs were treated as local. None came from Hong Kong or had visited, so those six were treated as non-local. The authors say a public sample was hard to gather under COVID-19 controls, and they cite a minimum of 30 raters from an earlier methods source. An unnamed university gave ethical approval.
All 36 attended all four sessions, in a classroom, from 5 May through 2 June 2022, one week apart, always from 3:00 p.m. to 4:00 p.m. The scale ran from 1 (not at all) to 7 (very beautiful), following scales in papers they cite and this page did not re-read. After each photograph, the student made the judgment. Order changed each week. The room layout did not. Temperature was 26°C and humidity 48 percent.
Cronbach's alpha for the four sessions was 0.834, 0.768, 0.852, and 0.790. They call that good internal reliability. It is not the size of the drop. Nine of 16 photographs fell at each successive session. The mean across the 16 did too. ANOVA F = 2.946, p = 0.040. First versus fourth, p = 0.005. Their summary is an average loss of 11.4 percent of the aesthetic value. The spread of ratings also shrank. The test on that spread is F = 2.279, p = 0.079, which they call close to significant. It is not significant at 5 percent, so this page does not treat agreement as a finding.
Gender did not split the beauty scores (U = 1995.000, p = 0.800). It did split the drop (U = 1596.500, p = 0.031). They write that men's preference for a recurring landscape declined faster. The prose does not print those means as numbers, so the page does not say how many points faster. Local versus non-local was not a reliable split (VAQ U = 427.000, p = 0.462; VAF U = 362.000, p = 0.101). Correlation, stepwise regression, and a curve check found no landscape characteristic that predicted the drop. The lesson they draw is that a fixed picture can lose rated beauty across four weekly looks, and that this sample did not hand a designer a feature to edit. The 11.4 percent stays on those photographs.
## Boundaries and Failure Modes
The pattern fails where exposure is still on the rising side. Zajonc's hypothesis, and the positive slope in the 2017 abstract, say early repeats can raise liking. Calling the second look Aesthetic Fatigue skips that slope. The same abstract ties the inverted-U to visual stimuli and not to auditory stimuli in that set of curves. It does not measure every song.
A second boundary is the thing that was rated. These were photographs in one classroom, not visits, not residents, and not a year of a marriage. [Peak-End Rule](/effects/peak-end-rule) weights the peak and the end of one episode. It is not four weekly means. Eyestrain was not on the questionnaire. The gender gap is one test, p = 0.031, in 15 men and 21 women aged 20 to 22. The authors offer an evolutionary guess for it and label that guess as tentative. The guess was not tested. Do not export it.
A common misuse is to move 11.4 percent onto a billboard, a feed, or a household. The percent is the authors' summary for 16 photographs rated four times, one week apart, in May and June 2022. A later paper by Jingwei Zhao, Bingru Sha, and Shuhui Deng, published online 14 November 2024, DOI 10.1007/s10668-024-05683-2, is abstract only. The abstract says repeated exposure produced visual aesthetic fatigue at both a two-day gap and a seven-day gap, with no significant difference between those gaps. Colored foliage mitigated the two-day gap in their summary and had no significant hold on the seven-day gap. More complex scenes with a higher first rating generated more fatigue. No F and no percent from that paper is on this page.
## Common Misconceptions
Three retellings travel with a picture people have stopped loving. One starts the drop too early. One moves a classroom percent into the street. One swaps a rating for a tired eye or a sex law.
Early exposure can raise liking. That rise is the mere-exposure hypothesis of 1968, and it is the positive slope in the 2017 abstract. Aesthetic Fatigue is the later fall. In the counted study the printed pairwise drop is the first rating against the fourth, one week apart, p = 0.005. A single extra glance was not the contrast.
Xu and Zhao's 11.4 percent is their summary of aesthetic value across 16 photographs and 36 students. The scale was 1 to 7. The prose does not print the four means. The percent is not a share of visitors, not a sales gap, and not a count of couples. Local versus Hong Kong was not significant (p = 0.101 on the drop).
The questionnaire asked how beautiful the photograph was. It did not ask about sore eyes. Beauty scores themselves did not differ by gender (p = 0.800). The drop did (p = 0.031), in this junior sample. The authors' evolutionary story is marked as a guess. No scan and no transmitter level is in the paper.
## Related Concepts
Aesthetic Fatigue sits beside a rise in liking from exposure, beside ease of processing, beside a missed duration inside one episode, and beside memory for an item that breaks a list. None of those pages owns the 11.4 percent.
Repeated exposure can raise the attitude toward a stimulus. That rise is the other slope. The 1968 frequency list is not reprinted here.
A stimulus that is easier to process can feel better. Ease is not the beauty rating Xu and Zhao collected, and their minute gaps are not this percent.
People underweight how long one episode lasted. Four weekly ratings are separate sessions, not the length of a single viewing.
An item that stands out from a repeated list is remembered better. Standing out is not a lower beauty rating for the list itself.
## One-Line Takeaway
Score the same scene again after people have lived with it, and keep that later rating off the first score's line. The 11.4 percent stays on 16 photographs in one 2022 classroom.
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