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(1)

感情と動きの関わり

ラバン理論からの定量的アプローチ

(2)

MOTION-EMOTION RELATIONS

心身問題

: Darwin, James, Ekman, Damasio...

(3)

動作からの感情知覚

Atkinson, et al., 2004

MOTION-EMOTION RELATIONS

Stimuli:

(4)

ダンス理論

: Laban Movement Analysis (Laban, 1971)

LMA

の応用

: CG (Chi et al., 2000), Robot (Nakata & Mori, 2002)

Nakata & Mori, 2002

(5)

LMA’S MOVEMENT

FEATURES

Fighting form

active, prominent, brisk body movements

Indulging form

unsteady weak body movements

W

ei

ght

E

ff

or

t

(v

ig

oro

usne

ss)

Space Effort

(directionality)

Tim

e E

(6)

LMA’S MOVEMENT

FEATURES

W

ei

ght

E

ff

or

t

(v

ig

oro

usne

ss)

Space Effort

(directionality)

Tim

e E

ffo

rt

(hur

rie

dne

ss)

indirect

direct

strong

week

Su

dd

en

Su

sta

ined

Anger

Happy

Stress

Sad

Joy

(7)

未解決の問題

感情表出の

2

つのタイプ

(Ekman and Friesen, 1975)

uncontrolled, involuntary,

true

emotion expressions

qualified, and modulated, or

false

expressions

our study

previous studies

(8)
(9)

アプローチ

1.

単純な実験の実施

被験者は部屋でただくつろぐ

被験者の動作を記録

滞在後、感情状態の評定

2.

身体動作の定量化

(10)

感情を誘導するために

unpleasant condition (N = 10)

siren, mic feedback, scratching noise

pleasant condition (N =10)

hearing brook sounds

異なる環境音を聞く

2

条件

calm or weak emotion arousal

(11)

実験環境

(12)

感情状態を測定するために

tension

depression

anger

vigor

fatigue

confusion

(13)

LMA

の非統制状況

への適用

estimate optical

flows for each

pixel

(using openCV)

scalar average of optical flows

variance of optical flows

the time space average of dot products between a mean vector and individual optical flows

difference of movement

strength between

continuous frames

difference of

movement direction

between continuous

frames

•||vnjk || indicates the strength

of the optical flow at pixel ij of frame n

(14)
(15)

POMS RESULT

Unpleasant sound condition

にて強い感情喚起

統制の成功

0 18 35 53 70

tension depression anger vigor fatigue confusion

plesant unplesant

Score

(p

ix

(16)

LMA

の結果

Unpleasant sound

により動作が

fighting form

へ変化

Weight

Space

Time (W)

Time (S)

Ple

an

Unple

an

Time (min)

E

ffor

t

(p

ix

(17)

CORRELATIONS BETWEEN EMOTION AND MOVEMENT

Weight Space Time

(W)

Time (S)

tension -0.13 0.13 -0.04 -0.18

depression -0.02 0.12 0.26 -0.10

anger -0.53 -0.40 -0.35 -0.65

vigor 0.33 0.18 0.18 0.00

fatigue -0.61 -0.49 -0.43 -0.59

confusion 0.32 0.41 0.57 -0.25

Weight Space Time

(W)

Time (S)

tension -0.61 0.38 0.58 0.79

depression 0.29 -0.05 0.14 0.54

anger 0.73 0.42 0.66 0.89

vigor -0.23 0.03 -0.12 -0.02

fatigue 0.72 0.45 0.62 0.71

confusion 0.34 0.00 0.15 0.51

pleasant

unpleasant

positive correlation (p < .05)

pleasant condition

にて弱い相関

(18)

CORRELATIONS BETWEEN EMOTION AND MOVEMENT

Weight Space Time

(W)

Time (S)

tension -0.13 0.13 -0.04 -0.18

depression -0.02 0.12 0.26 -0.10

anger -0.53 -0.40 -0.35 -0.65

vigor 0.33 0.18 0.18 0.00

fatigue -0.61 -0.49 -0.43 -0.59

confusion 0.32 0.41 0.57 -0.25

Weight Space Time

(W)

Time (S)

tension -0.61 0.38 0.58 0.79

depression 0.29 -0.05 0.14 0.54

anger 0.73 0.42 0.66 0.89

vigor -0.23 0.03 -0.12 -0.02

fatigue 0.72 0.45 0.62 0.71

confusion 0.34 0.00 0.15 0.51

pleasant

unpleasant

positive correlation (p < .05)

tension/stress is accompanied

with muscle overactivity

(Darwin)

expressed as

fighting form

Support LMA

similar pattern to anger movements

(19)

IMPLICATIONS

わかったこと

意図しない状況であっても動作は感情を表出する

本研究の強み

(20)

FUTURE WORKS

Applying the methods to bigger data sets

class rooms, conference rooms...

Complete mapping between body

参照

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