A pioneering new study has revealed how an individual’s movement can give a unique insight into their inherent personality traits.
The ground-breaking study could open up new pathways for health professionals to diagnose and treat mental health conditions in the future.
A team of experts, including from the University of Exeter, has shown that people who display similar behavioural characteristics tend to move their bodies in the same way.
The new study suggests that each person has an individual motor signature (IMS), a blueprint of the subtle differences in the way they move compared to someone else, such as speed or weight of movement for example.
Using a plain mirror game – in which two ‘players’ are asked to imitate each other’s movements – the team showed that people who have similar movements will tend to display more organised collective behaviour.
The team, which also includes experts from the University of Bristol, Montpellier University and the University of Naples Federico II, believes that these findings indicate that people with comparable movement blueprints will therefore find it easier to coordinate with each other during interpersonal interactions.
The team also believe that a person’s IMS – and how they interact with others – could give an insight into their mental health condition, and so pave the way for personalised prediction, diagnosis or treatment in the future.
The study is published in leading scientific journal, Interface, on Wednesday March 23.
Professor Krasimira Tsaneva-Atanasova, who specialises in Mathematics in Healthcare at the University of Exeter said: “Although human movement has been well studied, what is far less well understood is the differences each of us displays when we move – whether it is faster, or lighter, or smoother for example.
“This study shows that people who move in a certain way, will also react in similar ways when they are performing joint tasks. Essentially, our movements give an insight into our inherent personality traits.
“What we demonstrate is that people typically want to react and interact with people who are similar to themselves. But what our study also shows is that movement gives an indication of a person’s behavioural characteristics. This could therefore be used in the future to help diagnose patients with certain conditions by studying how they move and react to others.”
About this sleep research
Source:University of Exeter Image Source: The image is credited to Patrick Aventurier. Original Research: Full open access research for “Dynamic similarity promotes interpersonal coordination in joint action” by Piotr Słowiński, Chao Zhai, Francesco Alderisio, Robin Salesse, Mathieu Gueugnon, Ludovic Marin, Benoit G. Bardy, Mario di Bernardo, and Krasimira Tsaneva-Atanasova in Interface. Published online March 23 2016 doi:10.1098/rsif.2015.1093
Dynamic similarity promotes interpersonal coordination in joint action
Human movement has been studied for decades, and dynamic laws of motion that are common to all humans have been derived. Yet, every individual moves differently from everyone else (faster/slower, harder/smoother, etc.). We propose here an index of such variability, namely an individual motor signature (IMS) able to capture the subtle differences in the way each of us moves. We show that the IMS of a person is time-invariant and that it significantly differs from those of other individuals. This allows us to quantify the dynamic similarity, a measure of rapport between dynamics of different individuals’ movements, and demonstrate that it facilitates coordination during interaction. We use our measure to confirm a key prediction of the theory of similarity that coordination between two individuals performing a joint-action task is higher if their motions share similar dynamic features. Furthermore, we use a virtual avatar driven by an interactive cognitive architecture based on feedback control theory to explore the effects of different kinematic features of the avatar motion on coordination with human players.
“Dynamic similarity promotes interpersonal coordination in joint action” by Piotr Słowiński, Chao Zhai, Francesco Alderisio, Robin Salesse, Mathieu Gueugnon, Ludovic Marin, Benoit G. Bardy, Mario di Bernardo, and Krasimira Tsaneva-Atanasova in Interface. Published online March 23 2016 doi:10.1098/rsif.2015.1093