Visual search by action category

Research output: Contribution to journalArticle

18 Citations (Scopus)

Abstract

Humans are sensitive to different categories of actions due to their importance in social interactions. However, biological motion research has been heavily tilted toward the use of walking figures. Employing point-light animations (PLAs) derived from motion capture data, we investigated how different activities (boxing, dancing, running, and walking) related to each other during action perception, using a visual search task. We found that differentiating between actions requires attention in general. However, a search asymmetry was revealed between boxers and walkers, i.e., searching for a boxer among walkers is more efficient than searching for a walker among boxers, suggesting the existence of a critical feature for categorizing these two actions. The similarities among the various actions were derived from hierarchical clustering of search slopes. Walking and running proved to be most related, followed by dancing and then boxing. Signal detection theory was used to conduct a non-parametric ROC analysis, revealing that human performance in visual search is not fully explained by low-level motion information.

Original languageEnglish
Pages (from-to)1-14
Number of pages14
JournalJournal of Vision
Volume11
Issue number7
DOIs
Publication statusPublished - 20 Oct 2011
Externally publishedYes

Fingerprint

Boxing
Dancing
Walkers
Walking
Running
Interpersonal Relations
ROC Curve
Cluster Analysis
Light
Research

Cite this

van Boxtel, Jeroen J A ; Lu, Hongjing. / Visual search by action category. In: Journal of Vision. 2011 ; Vol. 11, No. 7. pp. 1-14.
@article{655c09a07cf34ab5870ba733f5dc3e99,
title = "Visual search by action category",
abstract = "Humans are sensitive to different categories of actions due to their importance in social interactions. However, biological motion research has been heavily tilted toward the use of walking figures. Employing point-light animations (PLAs) derived from motion capture data, we investigated how different activities (boxing, dancing, running, and walking) related to each other during action perception, using a visual search task. We found that differentiating between actions requires attention in general. However, a search asymmetry was revealed between boxers and walkers, i.e., searching for a boxer among walkers is more efficient than searching for a walker among boxers, suggesting the existence of a critical feature for categorizing these two actions. The similarities among the various actions were derived from hierarchical clustering of search slopes. Walking and running proved to be most related, followed by dancing and then boxing. Signal detection theory was used to conduct a non-parametric ROC analysis, revealing that human performance in visual search is not fully explained by low-level motion information.",
keywords = "Action perception, Activities, Attention, Biological motion, Motion capture, Point-light animations, Visual search",
author = "{van Boxtel}, {Jeroen J A} and Hongjing Lu",
year = "2011",
month = "10",
day = "20",
doi = "10.1167/11.7.19",
language = "English",
volume = "11",
pages = "1--14",
journal = "Journal of Vision",
issn = "1534-7362",
publisher = "Association for Research in Vision and Ophthalmology Inc.",
number = "7",

}

Visual search by action category. / van Boxtel, Jeroen J A; Lu, Hongjing.

In: Journal of Vision, Vol. 11, No. 7, 20.10.2011, p. 1-14.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Visual search by action category

AU - van Boxtel, Jeroen J A

AU - Lu, Hongjing

PY - 2011/10/20

Y1 - 2011/10/20

N2 - Humans are sensitive to different categories of actions due to their importance in social interactions. However, biological motion research has been heavily tilted toward the use of walking figures. Employing point-light animations (PLAs) derived from motion capture data, we investigated how different activities (boxing, dancing, running, and walking) related to each other during action perception, using a visual search task. We found that differentiating between actions requires attention in general. However, a search asymmetry was revealed between boxers and walkers, i.e., searching for a boxer among walkers is more efficient than searching for a walker among boxers, suggesting the existence of a critical feature for categorizing these two actions. The similarities among the various actions were derived from hierarchical clustering of search slopes. Walking and running proved to be most related, followed by dancing and then boxing. Signal detection theory was used to conduct a non-parametric ROC analysis, revealing that human performance in visual search is not fully explained by low-level motion information.

AB - Humans are sensitive to different categories of actions due to their importance in social interactions. However, biological motion research has been heavily tilted toward the use of walking figures. Employing point-light animations (PLAs) derived from motion capture data, we investigated how different activities (boxing, dancing, running, and walking) related to each other during action perception, using a visual search task. We found that differentiating between actions requires attention in general. However, a search asymmetry was revealed between boxers and walkers, i.e., searching for a boxer among walkers is more efficient than searching for a walker among boxers, suggesting the existence of a critical feature for categorizing these two actions. The similarities among the various actions were derived from hierarchical clustering of search slopes. Walking and running proved to be most related, followed by dancing and then boxing. Signal detection theory was used to conduct a non-parametric ROC analysis, revealing that human performance in visual search is not fully explained by low-level motion information.

KW - Action perception

KW - Activities

KW - Attention

KW - Biological motion

KW - Motion capture

KW - Point-light animations

KW - Visual search

UR - http://www.scopus.com/inward/record.url?scp=80054122629&partnerID=8YFLogxK

U2 - 10.1167/11.7.19

DO - 10.1167/11.7.19

M3 - Article

VL - 11

SP - 1

EP - 14

JO - Journal of Vision

JF - Journal of Vision

SN - 1534-7362

IS - 7

ER -