Face Shape and Personality
Principal Investigator(s): View help for Principal Investigator(s) Alexander Kachur, BestFtMe ltd; Denis Davydov, Modern University for the Humanities
Version: View help for Version V1
Version Title: View help for Version Title Test dataset
Name | File Type | Size | Last Modified |
---|---|---|---|
test_predict_ID.csv | text/csv | 173.3 KB | 03/27/2019 10:38:AM |
Project Citation:
Kachur, Alexander, and Davydov, Denis. Face Shape and Personality. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-03-27. https://doi.org/10.3886/E109082V1
Project Description
Summary:
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Applying Machine Learning, we are looking for a number of elusive lincks between appearance and behavior. The dataset obtained after the moderation of images and validation of questionnaires. The test (holdout) dataset included self-reported and predicted from face shape by a ML algorithm the Big Five personality traits for 505 males and 740 females.
Scope of Project
Subject Terms:
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Human face;
Big Five personality traits;
Face and Behavior;
Face;
Machine Learning;
Face and Personality
Geographic Coverage:
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Russian Federation
Time Period(s):
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2016 – 2018
Universe:
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Anonymous participants volunteers recruited through social network advertisements completed Big Five questionnaire and provided face photo.
Data Type(s):
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experimental data;
survey data
Collection Notes:
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Validation dataset containing randomly selected 10% (1290) of paticipant.
Methodology
Sampling:
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The initial sample included 25,202
participants who completed the questionnaire and uploaded a total of 77,346 photographs. The final dataset after the data
screening procedures comprised 12,447
valid questionnaires and 31,367 associated
photographs.
This is a Validation dataset containtd randomly selected 10% (1290) of paticipant.
The participants ranged in age from 18 to 60 (59.4% females, M= 27.61, SD = 12.73 and 40.6% man M= 32.60, SD = 11.85).
This is a Validation dataset containtd randomly selected 10% (1290) of paticipant.
The participants ranged in age from 18 to 60 (59.4% females, M= 27.61, SD = 12.73 and 40.6% man M= 32.60, SD = 11.85).
Data Source:
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Participants were anonymous volunteers recruited through social network advertisements. They did not receive any financial remuneration, but they were provided with a free report on their Big Five personality traits. The data were collected online using a dedicated research website and a mobile application. Participants completed the questionnaires, reported their age and gender, and were asked to upload their photographs.
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