Rankings of Curved and Sharp-Angled Drawings: Frames and Evaluation Criteria

Abstract This research investigates how rankings of curved versus sharp-angled line drawings are influenced by surrounding frames and evaluation criteria. We predicted that congruence among the curvature of a drawing, the curvature of its frame, and the evaluation criterion might increase participants’ rankings of that stimulus. Participants ranked 26 sets of six stimuli (curved and sharp-angled versions of line drawings, presented unframed, within square frames, or within round frames) according to their curvature (Study 1), or their pleasantness and interestingness (Study 2). Framed stimuli were ranked as more pleasant, and more interesting, than unframed stimuli. Beyond this, rankings seemed to be somewhat sensitive to congruencies among the curvature of the drawing, the curvature of its frame, and the evaluation criterion. These effects also differed between different types of drawing. For contained drawings, which did not reach the boundaries of their frame area, curved stimuli tended to be ranked as more pleasant than sharp-angled stimuli, except when they were presented in a sharp-angled, and therefore incongruent, square frame. For truncated drawings, which did touch the boundaries of their frame area, sharp-angled stimuli were ranked as more pleasant than curved stimuli, except when they were presented in an incongruent round frame; sharp-angled stimuli were also ranked as more interesting than curved stimuli, and this did not seem to be moderated by framing. Overall, judgments were influenced by stimulus- and task-related factors, and by congruence among those factors.

Authors

Institutions

Publication Details

Journal
Art & Perception
Published
2025-08-14
DOI
https://doi.org/10.1163/22134913-bja10070
Primary Topic
BIM and Construction Integration
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Rankings of Curved and Sharp-Angled Drawings: Frames and Evaluation Criteria

Kivilcim Dogerlioglu‐Demir, Robert W. Booth, Olesya Blazhenkova
Art & Perception
BIM and Construction Integration
article

Rankings of Curved and Sharp-Angled Drawings: Frames and Evaluation Criteria

Kivilcim Dogerlioglu‐Demir, Robert W. Booth, Olesya Blazhenkova
article en

Abstract

Abstract This research investigates how rankings of curved versus sharp-angled line drawings are influenced by surrounding frames and evaluation criteria. We predicted that congruence among the curvature of a drawing, the curvature of its frame, and the evaluation criterion might increase participants’ rankings of that stimulus. Participants ranked 26 sets of six stimuli (curved and sharp-angled versions of line drawings, presented unframed, within square frames, or within round frames) according to their curvature (Study 1), or their pleasantness and interestingness (Study 2). Framed stimuli were ranked as more pleasant, and more interesting, than unframed stimuli. Beyond this, rankings seemed to be somewhat sensitive to congruencies among the curvature of the drawing, the curvature of its frame, and the evaluation criterion. These effects also differed between different types of drawing. For contained drawings, which did not reach the boundaries of their frame area, curved stimuli tended to be ranked as more pleasant than sharp-angled stimuli, except when they were presented in a sharp-angled, and therefore incongruent, square frame. For truncated drawings, which did touch the boundaries of their frame area, sharp-angled stimuli were ranked as more pleasant than curved stimuli, except when they were presented in an incongruent round frame; sharp-angled stimuli were also ranked as more interesting than curved stimuli, and this did not seem to be moderated by framing. Overall, judgments were influenced by stimulus- and task-related factors, and by congruence among those factors.

Art & PerceptionVol. 13(3)
Sabancı Üniversitesi (TR), Özyeğin University (TR)
Openalex Percentile: Top 77%
BIM and Construction Integration
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.