Evidence map›Paper›PMID 38468069›Full record

ArticleAdvances in neurobiology2024

Fractal Fluency: Processing of Fractal Stimuli Across Sight, Sound, and Touch.

Richard P Taylor, Catherine Viengkham, Julian H Smith, Conor Rowland, Saba Moslehi, Sabrina Stadlober, Anastasija Lesjak, Martin Lesjak, Branka Spehar

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Article in Advances in neurobiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Richard P TaylorDepartment of Physics, University of Oregon, Eugene, OR, USA. rpt@uoregon.edu.
Catherine ViengkhamSchool of Psychology, UNSW, Sydney, NSW, Australia.
Julian H SmithDepartment of Physics, University of Oregon, Eugene, OR, USA.
Conor RowlandDepartment of Physics, University of Oregon, Eugene, OR, USA.
Saba MoslehiDepartment of Physics, University of Oregon, Eugene, OR, USA.
Sabrina Stadlober13&9 Design, Graz, Austria.
Anastasija Lesjak13&9 Design, Graz, Austria.
Martin Lesjak13&9 Design, Graz, Austria.
Branka SpeharSchool of Psychology, UNSW, Sydney, NSW, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

People are continually exposed to the rich complexity generated by the repetition of fractal patterns at different size scales. Fractals are prevalent in natural scenery and also in patterns generated by artists and mathematicians. In this chapter, we will investigate the powerful significance of fractals for the human senses. In particular, we propose that fractals with mid-range complexity play a unique role in our visual experiences because the visual system has adapted to these prevalent natural patterns. This adaptation is evident at multiple stages of the visual system, ranging from data acquisition by the eye to processing of this data in the higher visual areas of the brain. Based on these results, we will discuss a fluency model in which the visual system processes mid-complexity fractals with relative ease. This fluency optimizes the observer's capabilities (such as enhanced attention and pattern recognition) and generates an aesthetic experience accompanied by a reduction in the observer's physiological stress levels. In addition to reviewing people's responses to viewing fractals, we will compare these responses to recent research focused on fractal sounds and fractal surface textures. We will extend our fractal fluency model to allow for stimuli across multiple senses.

Indexed as

FractalsTouchAttentionBrainHumansPattern Recognition, VisualBehavioral and physiological responsesComplexityFractals

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.