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研究:走路姿勢也能暴露性格

What your walk says about your personality: Scientist explains how swagger can reveal hidden traits

中國日報網 2016-09-20 09:25

 

研究:走路姿勢也能暴露性格

The way people walk can provide clues about their personality, claims a new study.
一項最新研究顯示,走路的方式可以透露一個人的性格。

Using motion capture technology, researchers found that movements reveal certain personality traits, such as aggression, agreeableness and extroversion.
研究人員利用動作捕捉技術發(fā)現,人的動作可以揭露一定的性格特征,如攻擊性,親和力和外向。

The technology is widely used in film to capture the movements of an actor, which are then translated to an animated character on screen.
該技術在電影中應用廣泛,用于捕捉演員的動作,然后再轉換為動畫人物的動作。

The study, carried out by researchers at the University of Portsmouth, found that the exaggerated movement of both the upper and lower body indicated aggression.
這項研究由樸茨茅斯大學的研究人員開展。該研究發(fā)現,上身和下肢動作夸張表明這個人有攻擊性。

Lead researcher Liam Satchell said: 'When walking, the body naturally rotates a little; as an individual steps forward with their left foot, the left side of the pelvis will move forward with the leg, the left shoulder will move back and the right shoulder forward to maintain balance.
首席研究員利亞姆?薩切爾表示:“走路時身體會自然地小幅度轉動;一個人要邁左腳時,左側盆骨會帶動左腿前進,左側肩膀后移,而右側肩膀會前移,以保持平衡。

'An aggressive walk is one where this rotation is exaggerated.'
攻擊性強的人走路時身體轉動幅度會夸張一些。”

The study also found that personality traits that help with social skills - such as agreeableness and extroversion - were particularly evident in people with increased pelvis movement alone, or 'hip sway'.
該研究還顯示,僅從人的盆骨運動,或“臀部的搖擺”就能十分明顯的看出一些有助于社交的性格特征,如親和力,外向等。

The researchers were surprised to find evidence of personality traits not typically related to social skills in the form of 'openness to experience' or creativity and conscientiousness.
研究人員驚奇地發(fā)現,一些與社交無關的性格特征,如開放性、創(chuàng)造性、盡責性等也在走路姿勢中有所體現。

'Less overall movement in a walk (so little swagger and little sway in a walk) could predict how creative someone is and how well organized they are,' MrSatchell told MailOnline.
薩切爾表示:“走路時整體動作越小(走路時擺動幅度小),預示著這個人有創(chuàng)造力,而且有條理。”

The study assessed the personalities of 29 participants using a standard personality test called the 'big five'.
研究人員用“大五人格測試”對29位參與者進行了性格評估。

This enabled them to identify personality traits including openness, conscientiousness, extroversion, agreeableness and neuroticism.
該測試幫助他們明確了開放、盡責、外向、隨和以及神經質等性格特征。

Participants were also asked to complete a questionnaire that measured their levels of aggression.
參與者還需要完成一份評估攻擊性的問卷。

Motion capture technology was then used to record how they walked on a treadmill at their natural speed.
動作捕捉技術會記錄他們在跑步機上正常走路的姿勢。

The researchers analyzed thorax - the area between the neck and the abdomen - and pelvis movements, as well as speed of gait.
研究人員分析了胸腔(頸部和腹部之間的區(qū)域),和骨盆的運動,以及步態(tài)速度。

While people may be aware that there is a relationship between swagger and psychology, this is the first research to provide empirical evidence that links aggression with the way people walk, say the researchers.
研究人員表示,人們也許意識到了走路擺動幅度與心理有關,但這項研究第一次用實驗證明了走路姿勢也與人的攻擊性有關。

'We know of no other examples of research where gait has been shown to correlate with self-reported measures of personality and suggest that more research should be conducted between automatic movement and personality,' said Mr Satchell.
薩切爾說:“據我們所知,目前還沒有其他研究證明走路姿勢與性格自我報告有關。我們建議在自發(fā)運動和性格特征方面進行更多的研究。”

It is hoped that being able to identify a possible relationship between a person's walk and their intention to engage in aggression could be used as a crime prevention strategy.
研究人員希望明確走路姿勢與攻擊性之間的關聯(lián),并將之作為一種犯罪預防戰(zhàn)略。

'If CCTV observers could be trained to recognize the aggressive walk demonstrated in this research, their ability to recognize impending crimes could be improved further,' said Mr Satchell.
薩切爾說:“如果能夠訓練監(jiān)控設備觀測人員識別這類進攻性走姿,那么他們識別潛在犯罪的能力將會進一步提升。”

The researchers are keen to carry out additional studies and have called more members of the public to get involved.
研究人員迫切希望進行更多研究,并呼吁更多公眾參與其中。

The study is published in the Journal of Nonverbal Behaviour.
該研究發(fā)表在《非語言行為雜志》。

英文來源:每日郵報
翻譯:秦悅(中國日報網愛新聞iNews譯者)
編審:Helen

 
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