scispace - formally typeset
C

C Boydston

Researcher at University of Oregon

Publications -  10
Citations -  206

C Boydston is an academic researcher from University of Oregon. The author has contributed to research in topics: Fractal dimension & Fractal. The author has an hindex of 7, co-authored 10 publications receiving 162 citations.

Papers
More filters
Journal ArticleDOI

Aesthetic Responses to Exact Fractals Driven by Physical Complexity.

TL;DR: It is found that preference ratings for exact midpoint displacement fractals can be described by a linear trend with preference increasing as fractal dimension increases, and a set of four factors that influence complexity and preference judgments in fractals that may extend to other patterns are proposed.
Journal Article

Passive hip range of motion is reduced in active subjects with chronic low back pain compared to controls.

TL;DR: It is indicated that a significant difference in hip extension exists in active subjects with NSCLBP compared to controls and it may be important to consider hip mobility restrictions and their potential impact on assessment of strength in NSLBP subjects.
Journal ArticleDOI

Navigation performance in virtual environments varies with fractal dimension of landscape.

TL;DR: 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.
Journal ArticleDOI

Seeing shapes in seemingly random spatial patterns: Fractal analysis of Rorschach inkblots.

TL;DR: The relationship between the spatial scaling parameters of the inkblot patterns and the number of induced associations is analyzed, and it is suggested that the perceived images are induced by the fractal characteristics of the blot edges.
Journal ArticleDOI

Temporal Structure of Human Gaze Dynamics Is Invariant During Free Viewing.

TL;DR: It is shown that changes in gaze position are scale-invariant in time with statistical properties that are characteristic of a random walk process, and the human visual system may have a common strategy that drives the dynamics of human gaze during exploration.