Author Interviews, Psychological Science, Technology / 12.12.2017
A Computer Can Predict Health From A Photograph Of A Face
MedicalResearch.com Interview with:
[caption id="attachment_38856" align="alignleft" width="300"]
Credit: Stephen et al. 2017[/caption]
Dr Ian Stephen PhD
Senior Lecturer
Department of Psychology
ARC Centre of Excellence in Cognition and its Disorders,
Perception in Action Research Centre
Macquarie University, Sydney
NSW, Australia
MedicalResearch.com: What is the background for this study? What are the main findings?
Response: Since the 1990s, the dominant view of attraction in the scientific community has been that it is an evolved mechanism for identifying appropriate, healthy, fertile mates. People who are attracted to appropriate, healthy, fertile people are more likely to have more, healthy offspring and therefore any genes for having these preferences will become more common. On the other hand people who are attracted to inappropriate, unhealthy, infertile people will be less likely to pass on their genes to the next generation, so genes for this attraction pattern will become less common. However, for this model to be correct, two things have to be true. First, we should be able to identify cues in the face and body that people find attractive/healthy looking. And second, these cues must be related to some aspect of actual physiological health. The first part of this is well established - cues like symmetry, skin color, body shape are all related to looking healthy and attractive. But there is much less research on the second part.
The computer modeling techniques that we use allowed us to build a model based on 272 African, Asian and Caucasian face photographs that identifies three aspects of physiological health - body fat, BMI (a measure of body size) and blood pressure - by analysing facial shape. We then used the model to create an app that predicts what different faces would look like if those individuals increased or decreased their fatness, BMI or blood pressure. We gave this app to some more participants and asked them to make the faces look as healthy as possible. We found that, to make the faces look healthy, the participants reduced their fatness, BMI and (to a lesser extent) blood pressure.
Credit: Stephen et al. 2017[/caption]
Dr Ian Stephen PhD
Senior Lecturer
Department of Psychology
ARC Centre of Excellence in Cognition and its Disorders,
Perception in Action Research Centre
Macquarie University, Sydney
NSW, Australia
MedicalResearch.com: What is the background for this study? What are the main findings?
Response: Since the 1990s, the dominant view of attraction in the scientific community has been that it is an evolved mechanism for identifying appropriate, healthy, fertile mates. People who are attracted to appropriate, healthy, fertile people are more likely to have more, healthy offspring and therefore any genes for having these preferences will become more common. On the other hand people who are attracted to inappropriate, unhealthy, infertile people will be less likely to pass on their genes to the next generation, so genes for this attraction pattern will become less common. However, for this model to be correct, two things have to be true. First, we should be able to identify cues in the face and body that people find attractive/healthy looking. And second, these cues must be related to some aspect of actual physiological health. The first part of this is well established - cues like symmetry, skin color, body shape are all related to looking healthy and attractive. But there is much less research on the second part.
The computer modeling techniques that we use allowed us to build a model based on 272 African, Asian and Caucasian face photographs that identifies three aspects of physiological health - body fat, BMI (a measure of body size) and blood pressure - by analysing facial shape. We then used the model to create an app that predicts what different faces would look like if those individuals increased or decreased their fatness, BMI or blood pressure. We gave this app to some more participants and asked them to make the faces look as healthy as possible. We found that, to make the faces look healthy, the participants reduced their fatness, BMI and (to a lesser extent) blood pressure.
