Rodriguez Samantha N, Gullapalli Aparna R, Maurer J Michael, Tirrell Palmer S, Egala Ugesh, Anderson Nathaniel E, Harenski Carla L, Kiehl Kent A
University of New Mexico, Department of Psychology, Albuquerque, NM, USA.
The Mind Research Network, Albuquerque, NM, USA.
J Psychopathol Behav Assess. 2022 Dec;44(4):1054-1063. doi: 10.1007/s10862-022-09988-2. Epub 2022 Aug 3.
Clinicians have long noted that individuals with elevated psychopathic traits can be characterized by unique interpersonal styles, including prolonged eye contact, invasion of interpersonal space, and frequent use of hand gestures. Such forms of nonverbal communication can be measured via hand, body, and head position and dynamics. Previous studies have developed an automated algorithm designed to capture head position and dynamics from digital recordings of clinical interviews in a sample of incarcerated adult men. We observed that higher psychopathy scores were associated with stationary head dwell time. Here, we applied a similar automated algorithm to assess head position and dynamics on videotaped clinical interviews assessing psychopathic traits from = 242 youth housed at a maximum-security juvenile correctional facility. We observed that higher psychopathy scores (assessed via the Hare Psychopathy Checklist: Youth Version [PCL:YV]) were associated with unique patterns of head dynamics. Specifically, PCL:YV Total, Factor 1 (measuring grandiose-manipulative and callous-unemotional traits), and Facet 1 (measuring grandiose-manipulative traits) scores were associated with a higher proportion of time spent in a head dynamics pattern consisting of moderate movement away from the average head position. This study lays the groundwork for future investigations to apply quantitative methods to better understand patterns of nonverbal communication styles in clinical populations characterized by severe antisocial behavior.
临床医生早就注意到，具有较高精神病态特质的个体具有独特的人际风格，包括长时间的眼神接触、侵犯人际空间以及频繁使用手势。这种非语言交流形式可以通过手部、身体和头部的位置及动态来衡量。先前的研究开发了一种自动算法，旨在从成年男性在押人员样本的临床访谈数字记录中捕捉头部位置和动态。我们观察到，精神病态得分越高，与头部静止停留时间相关。在此，我们应用了一种类似的自动算法，对来自一所最高安全级别的青少年教养所的242名青少年进行录像临床访谈，以评估其精神病态特质时的头部位置和动态。我们观察到，较高的精神病态得分（通过《哈雷精神病态检查表：青少年版》[PCL:YV]评估）与独特的头部动态模式相关。具体而言，PCL:YV总分、因子1（测量浮夸-操纵性和冷酷-无情特质）以及小面1（测量浮夸-操纵性特质）得分与在一种头部动态模式中花费的时间比例较高相关，该模式包括适度远离平均头部位置的移动。本研究为未来的调查奠定了基础，以便应用定量方法更好地理解以严重反社会行为为特征的临床人群中的非语言交流风格模式。
