Judging the shape of moving objects: discriminating dynamic angles

Research output: Contribution to journalArticle

Abstract

Studies of shape perception have typically focused on static shapes. Studies of motion perception have mainly investigated speed and direction. None have addressed performance for judging the shape of moving objects. We investigated this by determining the discrimination of geometric angles under various dynamic conditions (translation, rotation, and expansion). Angles were parts of imaginary triangles, defined by three vertex dots. Compared to static angles, results show no significant decline in the precision of angle judgments for any of the three motion types, up to speeds high enough to impair target visibility. Additional experiments provide evidence against a uniform mechanism underlying static and dynamic performance, which could rely on “snapshots” when processing moving angles. Rather, we find support for distinct mechanisms. Firstly, adding noise dots to the display affects rotating and expanding angles substantially more than those which are translating or static. Secondly, the ability to judge angles is unaffected when vertex dots are occluded for short periods.

Original languageEnglish
Article number9
JournalJournal of Vision
Volume8
Issue number13
DOIs
Publication statusPublished - Oct 2008

Fingerprint

Motion Perception
Aptitude
Direction compound
Discrimination (Psychology)

Keywords

  • optometry
  • shape perception
  • vision sciences

Cite this

@article{36b5e888bb7a46849e097e7b4774480d,
title = "Judging the shape of moving objects: discriminating dynamic angles",
abstract = "Studies of shape perception have typically focused on static shapes. Studies of motion perception have mainly investigated speed and direction. None have addressed performance for judging the shape of moving objects. We investigated this by determining the discrimination of geometric angles under various dynamic conditions (translation, rotation, and expansion). Angles were parts of imaginary triangles, defined by three vertex dots. Compared to static angles, results show no significant decline in the precision of angle judgments for any of the three motion types, up to speeds high enough to impair target visibility. Additional experiments provide evidence against a uniform mechanism underlying static and dynamic performance, which could rely on “snapshots” when processing moving angles. Rather, we find support for distinct mechanisms. Firstly, adding noise dots to the display affects rotating and expanding angles substantially more than those which are translating or static. Secondly, the ability to judge angles is unaffected when vertex dots are occluded for short periods.",
keywords = "optometry, shape perception, vision sciences",
author = "Kennedy, {Graeme J.} and Orbach, {Harry S.} and Gordon, {Gael E.} and Gunter Loffler",
note = "<p>Originally published in: Journal of Vision (2008), 8 (13), article 9.</p>",
year = "2008",
month = "10",
doi = "10.1167/8.13.9",
language = "English",
volume = "8",
journal = "Journal of Vision",
issn = "1534-7362",
publisher = "Association for Research in Vision and Ophthalmology (ARVO)",
number = "13",

}

Judging the shape of moving objects: discriminating dynamic angles. / Kennedy, Graeme J.; Orbach, Harry S.; Gordon, Gael E.; Loffler, Gunter.

In: Journal of Vision, Vol. 8, No. 13, 9 , 10.2008.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Judging the shape of moving objects: discriminating dynamic angles

AU - Kennedy, Graeme J.

AU - Orbach, Harry S.

AU - Gordon, Gael E.

AU - Loffler, Gunter

N1 - <p>Originally published in: Journal of Vision (2008), 8 (13), article 9.</p>

PY - 2008/10

Y1 - 2008/10

N2 - Studies of shape perception have typically focused on static shapes. Studies of motion perception have mainly investigated speed and direction. None have addressed performance for judging the shape of moving objects. We investigated this by determining the discrimination of geometric angles under various dynamic conditions (translation, rotation, and expansion). Angles were parts of imaginary triangles, defined by three vertex dots. Compared to static angles, results show no significant decline in the precision of angle judgments for any of the three motion types, up to speeds high enough to impair target visibility. Additional experiments provide evidence against a uniform mechanism underlying static and dynamic performance, which could rely on “snapshots” when processing moving angles. Rather, we find support for distinct mechanisms. Firstly, adding noise dots to the display affects rotating and expanding angles substantially more than those which are translating or static. Secondly, the ability to judge angles is unaffected when vertex dots are occluded for short periods.

AB - Studies of shape perception have typically focused on static shapes. Studies of motion perception have mainly investigated speed and direction. None have addressed performance for judging the shape of moving objects. We investigated this by determining the discrimination of geometric angles under various dynamic conditions (translation, rotation, and expansion). Angles were parts of imaginary triangles, defined by three vertex dots. Compared to static angles, results show no significant decline in the precision of angle judgments for any of the three motion types, up to speeds high enough to impair target visibility. Additional experiments provide evidence against a uniform mechanism underlying static and dynamic performance, which could rely on “snapshots” when processing moving angles. Rather, we find support for distinct mechanisms. Firstly, adding noise dots to the display affects rotating and expanding angles substantially more than those which are translating or static. Secondly, the ability to judge angles is unaffected when vertex dots are occluded for short periods.

KW - optometry

KW - shape perception

KW - vision sciences

UR - http://www.scopus.com/inward/record.url?eid=2-s2.0-55149085955&partnerID=8YFLogxK

U2 - 10.1167/8.13.9

DO - 10.1167/8.13.9

M3 - Article

VL - 8

JO - Journal of Vision

JF - Journal of Vision

SN - 1534-7362

IS - 13

M1 - 9

ER -