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Like Partying? Your Face Says It All Predicting Place AMBIANCE From
Profile Pictures
Miriam Redi, Daniele Quercia, Lindsay Graham, Samuel Gosling
A FACE IMAGE IS BIOGRAPHY
IDENTITY
EMOTIONS
PERSONALITY
COMPETENCE
DEMOGRAPHICS
PLACE’S AMBIANCE
PREFERENCESPREDICTION
COMPUTER VISION
VIS
UA
L
FEA
TU
RES
Can the AMBIANCE of a Place be Determined by the User Profiles of the
People Who Visit It?ICWSM 2011
STARTING POINT
STARTING POINT
ON THE SPOT RATINGS
FACE-DRIVENRATINGS
49FOURSQUAR
E PLACES
(AUSTIN, TX)z
25PROFILE
PICTURES
PER PLACE
72 AMBIANC
E DIMENSIO
NS
RESEARCH QUESTION
Can the AMBIANCE of a Place be Determined by an Algorithm based on the
User Profiles of the People Who Visit the place?
25PROFILE
PICTURES
PER PLACE
72 -> 18 AMBIANCERATINGS
25x49PROFILE
PICTURES
REGRESSION
Visual Features
APPROACH
1. Aesthetic Features
PHOTOGRAPHIC QUALITY
BRIGHTNESS, SATURATION, CONTRAST
IMAGE ORDER
NUMBER OF CIRCLES
SYMMETRY
5. Self-Presentation
PRESENCE OF GLASSES
PRESENCE OF FACE
FACE CENTRALITY
UNIQUENESS
FACE TILT
/CLOSE-UP FACE POSITION (CLOSE-UP)
EXPERIMENTAL RESULTS
5 MOST DISCRIMINATIVE FEATURES, LEAVE-ONE-OUT
HIGHLY PREDICTABLE FRIENDLY, SOCIAL, ATTRACTIVE - low
variability
MODERATELY PREDICTABLE CREATIVE, PARTY - high diversity
STEREOTYPES: Man and Machine Disagree
FEMALE, BRIGHTNESS
FEMALE
Romantic
Attractive(Pick-Up)
Open-Minded BRIGHTNESS
REDWARMER COLORS
BOTH GENDERS
PRESENCE OF CIRCLES
PLACES FEATURESFEATURES
ALGORITHM HUMAN
STEREOTYPES: Man and Machine Agree
OLDER, READING GLASSES
Studying, Reading
FriendlySMILING
OLDER, READING GLASSES
SMILING
StrangeYELLOW, NO FACE YELLOW
PLACES FEATURESFEATURES
ALGORITHM HUMAN