P3-21: Detection of Focal Points of Hierarchical Motion Using Point-Light Display

Recent studies about mirror neurons suggest that many cognitive processes are based on information about body control extracted while viewing the motion of others. Although biological motion has been well studied in the field of vision science, the focus to date has not been on the extraction of inf...

Full description

Bibliographic Details
Main Authors: Reiko Yakushijin, Sachiyo Ueda
Format: Article
Language:English
Published: SAGE Publishing 2012-10-01
Series:i-Perception
Online Access:https://doi.org/10.1068/if731
id doaj-f7cd19bbbc3b43968e23a2ded8e05941
record_format Article
spelling doaj-f7cd19bbbc3b43968e23a2ded8e059412020-11-25T03:02:47ZengSAGE Publishingi-Perception2041-66952012-10-01310.1068/if73110.1068_if731P3-21: Detection of Focal Points of Hierarchical Motion Using Point-Light DisplayReiko Yakushijin0Sachiyo UedaOchanomizu University, JapanRecent studies about mirror neurons suggest that many cognitive processes are based on information about body control extracted while viewing the motion of others. Although biological motion has been well studied in the field of vision science, the focus to date has not been on the extraction of information directly related to body control. In this study, we examined how efficiently people detect “focal points” of hierarchical motion, which seems closely related to body control. Focal points are the loci of the cause of shape change. For example, when we see an arm bending at the elbow, the focal point is the elbow although other parts, e.g., the wrist and fingers, actually move. Focal points directly indicate which joint or muscles you should control when you mimic the movement. In our experiment, each stimulus was composed of five points of light representing a four folded arm. We set two conditions of motion: reaching and bending. Participants were asked to detect the focal point of the motion. Angle noise was introduced to each joint movement. Results showed that the focal points were detected more correctly when they were closer to the root of the arm (the highest level of the hierarchical structure) for both conditions. Further, focal point detection was more vulnerable to angle noise during bending than during reaching. Variation in the degree of local motion is one of the possibilities to explain the observed differences between the two conditions.https://doi.org/10.1068/if731
collection DOAJ
language English
format Article
sources DOAJ
author Reiko Yakushijin
Sachiyo Ueda
spellingShingle Reiko Yakushijin
Sachiyo Ueda
P3-21: Detection of Focal Points of Hierarchical Motion Using Point-Light Display
i-Perception
author_facet Reiko Yakushijin
Sachiyo Ueda
author_sort Reiko Yakushijin
title P3-21: Detection of Focal Points of Hierarchical Motion Using Point-Light Display
title_short P3-21: Detection of Focal Points of Hierarchical Motion Using Point-Light Display
title_full P3-21: Detection of Focal Points of Hierarchical Motion Using Point-Light Display
title_fullStr P3-21: Detection of Focal Points of Hierarchical Motion Using Point-Light Display
title_full_unstemmed P3-21: Detection of Focal Points of Hierarchical Motion Using Point-Light Display
title_sort p3-21: detection of focal points of hierarchical motion using point-light display
publisher SAGE Publishing
series i-Perception
issn 2041-6695
publishDate 2012-10-01
description Recent studies about mirror neurons suggest that many cognitive processes are based on information about body control extracted while viewing the motion of others. Although biological motion has been well studied in the field of vision science, the focus to date has not been on the extraction of information directly related to body control. In this study, we examined how efficiently people detect “focal points” of hierarchical motion, which seems closely related to body control. Focal points are the loci of the cause of shape change. For example, when we see an arm bending at the elbow, the focal point is the elbow although other parts, e.g., the wrist and fingers, actually move. Focal points directly indicate which joint or muscles you should control when you mimic the movement. In our experiment, each stimulus was composed of five points of light representing a four folded arm. We set two conditions of motion: reaching and bending. Participants were asked to detect the focal point of the motion. Angle noise was introduced to each joint movement. Results showed that the focal points were detected more correctly when they were closer to the root of the arm (the highest level of the hierarchical structure) for both conditions. Further, focal point detection was more vulnerable to angle noise during bending than during reaching. Variation in the degree of local motion is one of the possibilities to explain the observed differences between the two conditions.
url https://doi.org/10.1068/if731
work_keys_str_mv AT reikoyakushijin p321detectionoffocalpointsofhierarchicalmotionusingpointlightdisplay
AT sachiyoueda p321detectionoffocalpointsofhierarchicalmotionusingpointlightdisplay
_version_ 1724688485169758208