Exploring collective dynamics using an audio-visualization technique
| Project/Area Number |
22650146
|
|---|
| Research Category |
Grant-in-Aid for Challenging Exploratory Research
|
| Allocation Type | Single-year Grants |
|---|
| Research Field |
Sports science
|
|---|
| Research Institution | Nagoya University |
|---|
Principal Investigator |
YAMAMOTO Yuji 名古屋大学, 総合保健体育科学センター, 教授 (30191456)
|
|---|
| Co-Investigator(Kenkyū-buntansha) |
KIJIMA Akifumi 山梨大学, 教育学研究科, 准教授 (10389083)
OKUMURA Motoki 静岡大学, 教育学部, 准教授 (90400663)
KADOTA Koji 大阪大学, 医学系研究科, 助教 (50557220)
|
|---|
| Co-Investigator(Renkei-kenkyūsha) |
KADOTA Koji 大阪大学, 医学系研究科, 助教 (50557220)
|
|---|
| Project Period (FY) |
2010 – 2012
|
| Project Status |
Completed (Fiscal Year 2012)
|
| Budget Amount *help |
¥3,460,000 (Direct Cost: ¥3,100,000、Indirect Cost: ¥360,000)
Fiscal Year 2012: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2011: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2010: ¥1,900,000 (Direct Cost: ¥1,900,000)
|
|---|
| Keywords | 集団ダイナミクス / 可視聴化 / 対人・集団ダイナミクス / 対人ダイナミクス / 集合変数 / 心理実験 / 秩序変数 |
|---|
| Research Abstract |
This research used an audio-visualization technique to explore a simple principle underlying thecollective dynamics occurring during sports activities. We focused on the game of tag and on the Japanese martial art of kendo as examples of interpersonal competition and on football games as an example of team competition. In kendo, the interpersonal distance and velocity of stepping away andforward were measured for each competitor as collective variables. These variables were visualized using a point-light display with auditory signals, and the possibility of discriminating between skill levels was examined in psychological experiments. Additionally, relative phase analysis was applied to the data, and abrupt switching between in- and anti-phase synchronization at a critical interpersonal distance was shown in both tag and kendo. In football games, the boundary between two competitive teams was depicted by adapting the pressure fields defined by the Gaussian distributions for each player. This boundary was able express the chance of attack and the game momentum.
|
Report
(4 results)
Research Products
(27 results)
