Researchers discover dance moves to pull women
Scientists say they have carried out a "rigorous scientific analysis" of dance moves to discover what makes a man attractive to women. Using 3D motion-capture technology to film dancers and create computerised 3D avatars the team showed the footage to 35 women to see what they liked.
It was found dance movements which indicate health and reproductive potential - including large and movements of the neck and trunk - were seen as the most attractive.
Unsurprisingly the psychologists from Northumbria University say twitchy and repetitive "Dad dancing" with too much arm waving isn't cool and won't help you pull.
The results showed that eight movement variables made the difference between a “good” and a “bad” dancer… which is why whenever there is music playing we will be standing in the corner tapping out toes uncomfortably.
The movement variables were the size of movement of the neck, trunk, left shoulder and wrist, the variability of movement size of the neck, trunk and left wrist, and the speed of movement of the right knee.
Dr Neave said: "This is the first study to show objectively what differentiates a good dancer from a bad one. Men all over the world will be interested to know what moves they can throw to attract women.
"We now know which area of the body females are looking at when they are making a judgement about male dance attractiveness.
"If a man knows what the key moves are, he can get some training and improve his chances of attracting a female through his dance style."
Kristofor McCarty added: "The methods we have used here have allowed us to make some preliminary predictions as to why dance has evolved. Our results clearly show that there seems to be a strong general consensus as to what is seen as a good and bad dance, and that women appear to like and look for the same sort of moves.
"From this, we predict that those observations have underlying traits associated with them but further research must be conducted to support such claims."
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Northumbria University
