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The sociocultural view
• Symons (1997)“…physical characteristics are close to the genes, and are distributed undemocratically. If standards of attractiveness can be shown to vary arbitrarily, attractiveness itself is made to seem trivial”
“Never judge a book by its cover”• People can readily judge attractiveness
– judgments at 150ms exposure correlate with normal judgments (Goldstein & Papageorge 1980)
• What is beautiful is good effect (Dion et al. 1972)– Better careers, personality attributes, marital
outcomes
• Some evidence for a “kernel of truth” in personality attribution
“Beauty is in the eye of the beholder”
• People agree on attractiveness (Feingold 1992)• Meta-analysis r=0.90 (Langlois 1990)
Within cultures Between cultures
Sociocultural view agreement Disagreement
Adaptive view agreement agreement
• Infants distinguish between attractive and unattractive faces (Langlois et al. 1991) even at 1 week old (Slater et al. 1998)
• Infants play more with an attractive doll than an unattractive one (Langlois et al. 1991)
“Beauty is in the eye of the beholder”
“Beauty is only skin deep”• Attractive people:
– fare better in employment (Hosada et al. 2003)– More likely to be acquitted in a trial– Stimulate reward centres in the brain
• Attractiveness important in partner choice– dating (Walster et al. 1966)– Same-sex alliances (Cash & Derlega 1978)– Sexual behaviour (Rhodes et al. 2005)
“Beauty is only skin deep”• Are attractive people actually different
from unattractive people?
• Adaptive view: attractive people have higher mate value– Good genes– Physical condition– Youth, fertility
Beyond facial structure• Attractiveness is not just a
fixed property of the face– Emotional expression (e.g.
Otta et al. 1996)– Gaze direction (Kampe et al.
2001)– Other faces (Jones et al. 2007)
• A big missing ingredient– movement
Movement• Static stimuli are limited – real faces are dynamic
• Movement is known to be important for facial perception– sex, identity, emotion
Roberts et al (2009)
Movement and courtship• Movement is
important in animal courtship (birds, 3-spined stickleback, fruit flies, reptiles)
• Human dance (Brown et al. 2005)
– Symmetrical men produced more attractive dances
Female attractiveness
- 3
- 1 . 5
0
1 . 5
3
- 3 - 1 . 5 0 1 . 5 3
z ( s e x t y p ic a l i t y )
z(a
ttra
cti
ve
ne
ss
)
F 1
F 2
F 3
F 4
F 5
Coefficient = 1.02, t4=7.08, p<0.001
Intercept error: χ24=15.9, p=0.004
Slope error: χ24=3.7, p>0.500
Male attractiveness
- 3
- 1 . 5
0
1 . 5
3
- 3 - 1 . 5 0 1 . 5 3
z ( s e x t y p ic a l i t y )
z(a
ttra
cti
ve
ne
ss
)
M 1
M 2
M 3
M 4
M 5
Coefficient = –0.31, t4= –1.60, p=0.184 » Morrison et al. (2007)
Male movement
• No cues to attractiveness in male movement?– High agreement on attractiveness
• Menstrual cycle alters preference for facial dimorphism
- Grooming, jewellery, dress- Fantasize about sex
- Go out to bars- Prefer deeper male voices
Female movement• Lap dancers earn more in tips when they
are in the fertile phase of the menstrual cycle (Miller et al. 2007)
• No effect for those on contraceptive pill
• When women are in the fertile phase, they prefer more masculine walkers
• Women with a high sociosexuality prefer masculine walkers
Female movement
http://www.biomotionlab.ca/Demos/BMLwalker.html
Provost, Troje, & Quinsey (2008)
Proceptivity
• Increased preference for
proceptive movement when
fertile
» Morrison et al. (2009)
• Behaviour designed to encourage further interaction in the context of mating
Predictions
Attractive movement Unattractive movement
Masculinised Very attractive Not attractive
Feminised Quite attractive Not attractive
Attractive movement Unattractive movement
Masculinised Quite attractive Not attractive
Feminised Very attractive Quite attractive
• Clear preference for feminised female videos
• No preference for dimorphism in male videos
• Analogous with work on static faces
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
video picture
Pre
fere
nce
fo
r m
ascu
lin
isat
ion
MaleAnti
MalePro
FemaleAnti
FemalePro
Morrison et al. 2010
• Estimate relative importance of dynamic vs static cues
• Estimate relative importance of WHR and BMI in photographs, videos, and point-light walkers
Video Photograph Point-light
Static cues
Dynamic cues
• Zero-order correlations:
Video Photo Mocap
Video 0.622** 0.720**
Photo 0.357
BMI -0.378 -0.135 -0.555**
WHR -0.624** -0.509** -0.387*
**p<0.01*p<0.05
Female body movement
• Regression models– 1. DV = video attractiveness. Overall
model significant (adj r2 = 0.65, p<0.001)
p
Photo 0.44 0.002
Mocap 0.56 <0.001
Interaction 0.14 0.247
Female body movement
Female body movementDV Video Photo Mocap
Overall model r2 0.38** 0.19* 0.30**
BMI ( -0.17 0.09 -0.44*
WHR ( -0.56** -0.51* -0.26
BMIxWHR ( 0.14 -0.18 0.14
**p<0.01*p<0.05
High heels• Associated with sexuality
• Bad for you– Increases force on knee– Morton’s neuroma in foot nerves– Shortening of Achilles tendon– Bunions– Hard to walk!
• Theories– Push out buttocks and breasts– Slightly increased leg length (Sorokowski &
Pawlowski, 2008)
High heels• Heels: M = 3.56, SD = 1.21 • Flat shoes: M = 2.36, SD = 1.15, F(1,19) = 76.22, p
<00001, p2 = .80
• Classification error rate = 2 8% in flat shoesand 17% in high heels χ2 (1, N = 120) = 7.06, p = .008. Cramer’s V = .24.
Walker
1 2 3 4 5 6 7 8 9 10 11 12
Mea
n +
SE
Fem
inin
ity R
atin
g
1
2
3
4
5
flats heels
High heels
Flat shoes
M (SD)
High heelsM (SD) Difference
t dfSignificance
Level Cohen's dStride duration (s) 1.13 0.05 1.09 0.05 0.04 1.69 11 0.12 0.80
Cadence (steps/min) 106.4 5.41110.2
2 5.38 -3.82 4.23 11 0.001* -0.71Stride length (m) 1.24 0.05 1.2 0.06 0.04 4.39 11 0.001* 0.73
Knee flexion/extensionHeelstrike (°) -0.39 5.11 -2.98 6.31 2.59 1.62 8* 0.143 0.45Stance max flexion (°) 10.03 5.82 15.96 5.00 -5.93 4.44 8* 0.002* -1.10Toe-off (°) -4.56 3.86 -2.74 5.43 -1.82 0.89 8* 0.401 -0.39Swing max flexion (°) 62.25 3.50 51.48 4.44 10.77 8.46 8* <0.001* 2.71
Hip flexion/extensionHeelstrike (°) 23.75 3.80 29.43 3.12 -5.68 2.75 11 0.019* -1.64Toe-off (°) -9.40 2.12 -9.34 3.76 -0.06 0.07 11 0.945 -0.02Swing max flexion (°) 29.39 3.23 25.87 3.92 3.52 0.04 11 0.971 0.98Pelvic rotation (°) 3.06 1.00 4.16 1.07 -1.1 3.28 11 0.007* -1.06Lateral pelvic tilt (°) 12.34 2.70 14.57 2.69 -2.23 4.90 11 <0.001* -0.83
Shoulder rotation 4.42 2.49 4.38 1.93 0.04 .47 11 0.638 0.02
• Biomechanics
When walking in high-heels women take smaller and more frequent steps, they bend their knees and hips less, and more rotation and tilt occurs at the hip.
Morris, White, Morrison & Fisher, 2012
Static cues Dynamic cues
Shape Colour Texture Current disposition
Condition / current health
Hormone markers
Developmental stability
Here and now
Good genes
The past
Conclusions• Physical attractiveness in terms is best
understood as a product of sexual selection
• However, attractiveness is more than just physical structure
• Movement is an important component of attractiveness
• Other transient aspects of the face (colouration?)
• Physical attractiveness is more than just the face
• Attractiveness is more than just the physical
Acknowledgments
• Prof Ian Penton-Voak
• Dr Andrew Clark
• Dr Isabel Scott
• Dr Robbie Cooper
• Dr Lisa Gralewski
• Dr Neill Campbell
• Dr Pete Etchells
• Dr Paul Morris
• Dr Jenny White
• Hannah Bain
• Louise Pattison
• Hannah Whyte-Smith
• Dave Black
• Wendy Hedger
• Genna Griffiths
• Amy Russell
• Liam Satchell• Dr Robin Kramer