Investigations of Human EEG Response to Viewing Fractal Patterns

Hagerhall, Caroline M.P.; Laike, Thorbjörn; Taylor, R. P.; Küller, Marianne; Küller, Rikard; Martin, Theodore P.

doi:10.1068/p5918

Cited by 117 publications

(83 citation statements)

References 26 publications

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“…This is in line with the body of literature demonstrating the role of sensorimotor areas in aesthetical appreciations, especially of abstract art (Freedberg and Gallese 2007; Hagerhall et al 2008; Jacobsen et al 2006; Umilta et al 2012). We could not speculate on the artistic value of our abstract design environment, but it is likely that the total unfamiliarity of the presented environment might have led the observer, i.e.…”

Section: Discussionsupporting

confidence: 88%

Navigating abstract virtual environment: an eeg study

et al. 2016

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Perceptions of different environments are different for different people. An abstract designed environment, with a degree of freedom from any visual reference in the physical world requests a completely different perception than a fully or semi-designed environment that has some correlation with the physical world. Maximal evidence on the manner in which the human brain is involved/operates in dealing with such novel perception comes from neuropsychology. Harnessing the tools and techniques involved in the domain of neuropsychology, the paper presents nee evidence on the role of pre-central gyrus in the perception of abstract spatial environments. In order to do so, the research team developed three different categories of designed environment with different characteristics: (1) Abstract environment, (2) Semi-designed environment, (3) Fully designed environment, as experimental sample environments. Perception of Fully-designed and semi-designed environments is almost the same, [maybe] since the brain can find a correlation between designed environments and already experienced physical world. In addition to this, the response to questionnaires accompanied with a list of buzzwords that have been provided after the experiments, also describe the characteristics of the chosen sample environments. Additionally, these results confirm the suitability of continuous electroencephalography (EEG) for studying Perception from the perspective of architectural environments.

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Section: Discussionsupporting

confidence: 88%

Navigating abstract virtual environment: an eeg study

et al. 2016

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“…A recent investigation used quantitative electroencephalography (qEEG) to record psycho-physiological responses in the cortex of subjects viewing computer-generated fractal silhouettes which underwent controlled changes of their fractal dimension. The results of this study support the view that mid-range fractal dimensions play a unique role in visual perception (Hagerhall, Laike, Taylor, Küller, Küller & Martin, 2008).…”

Section: Introductionsupporting

confidence: 86%

A Computational Approach to Fractal Analysis of a Cityscape's Skyline

Chalup

Henderson

Ostwald

et al. 2009

Architectural Science Review

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This study proposes a semi-automated approach for cityscape analysis which is based on calculating the fractal dimension of a cityscape's skyline. A software tool was developed which consists of an intensity-based skyline extraction module combined with a box-counting approach for calculation of the fractal dimension. Obstacles such as power-lines, vertical poles or cranes which interrupt the skyline can automatically be excluded from the analysis. The paper describes the methods involved and presents three pilot experiments using the new approach which indicate that: (1) If trees intersect the skyline they typically increase its fractal dimension; (2) Different types of cities can be distinguished by their characteristic skylines;(3) The process to determine the best fit skyline in an image can require user intervention. It can be semi-automated by using the local minima of the skyline's fractal dimension which is interpreted as a function of the image's intensity cut-off values.

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“…Processing fluency might also enhance capabilities such as the ability to detect and discriminate fractals (Spehar et al, 2015), to maintain attention when observing fractals (Hagerhall et al, 2008, 2015), and also to heighten pattern recognition skills. In terms of pattern recognition, research reveals that fractal images of low-to-mid D preferentially activate the object perception and recognition areas of the visual cortex (Bies et al, 2015) and allow for a larger number of percepts to be formed (Bies et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Navigation performance in virtual environments varies with fractal dimension of landscape

Juliani

Bies

Boydston

et al. 2016

Journal of Environmental Psychology

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Fractal geometry has been used to describe natural and built environments, but has yet to be studied in navigational research. In order to establish a relationship between the fractal dimension (D) of a natural environment and humans’ ability to navigate such spaces, we conducted two experiments using virtual environments that simulate the fractal properties of nature. In Experiment 1, participants completed a goal-driven search task either with or without a map in landscapes that varied in D. In Experiment 2, participants completed a map-reading and location-judgment task in separate sets of fractal landscapes. In both experiments, task performance was highest at the low-to-mid range of D, which was previously reported as most preferred and discriminable in studies of fractal aesthetics and discrimination, respectively, supporting a theory of visual fluency. The applicability of these findings to architecture, urban planning, and the general design of constructed spaces is discussed.

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Investigations of Human EEG Response to Viewing Fractal Patterns

Cited by 117 publications

References 26 publications

Navigating abstract virtual environment: an eeg study

Navigating abstract virtual environment: an eeg study

A Computational Approach to Fractal Analysis of a Cityscape's Skyline

Navigation performance in virtual environments varies with fractal dimension of landscape

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