{"title":"捕捉(正弦)波:社交焦虑症患者非语言同步的时间动态变化","authors":"Hallel Shatz , Maya Asher , Idan M. Aderka","doi":"10.1016/j.janxdis.2024.102828","DOIUrl":null,"url":null,"abstract":"<div><p><span>Individuals with social anxiety disorder (SAD) experience a range of interpersonal problems and studies have found that nonverbal synchrony (the coordination between interaction partners’ movements) may be impaired in dyads in which one individual has SAD (Asher et al., 2020). In the present study, we examined the temporal dynamics of nonverbal synchrony during “getting aquatinted” conversations of individuals with and without SAD. Specifically, participants (</span><em>n</em> = 146) formed either SAD dyads (dyads in which one individual had SAD and the other did not; <em>n</em> = 37 dyads), or control dyads (dyads in which both individuals did not have SAD; <em>n</em> = 36 dyads). Dyads were randomized to either small talk or closeness-generating (i.e., intimate) conversations. We found that during conversations, nonverbal synchrony followed a repeating pattern of increases and decreases that was best modeled by a sinusoidal wave (explained variance = 63.74 %). We found significant Diagnosis × Social Context interactions in the temporal dynamics of nonverbal synchrony (i.e., in the parameters of sine waves). Specifically, we found that for SAD dyads (but not control dyads), the average sine wave amplitude which indicates increases and decreases in nonverbal synchrony was greater during small talk conversations compared to closeness-generating conversations. In addition, we found that among control dyads (but not SAD dyads), the average vertical offset of sine waves (i.e., the average level of nonverbal synchrony) during closeness-generating conversations was greater compared to small talk conversations. The findings are interpreted within the context of the social anxiety literature as capturing two distinct social-anxiety related processes, and suggest that when examined temporally (rather than averaged), nonverbal synchrony may be an important implicit biomarker of SAD.</p></div>","PeriodicalId":48390,"journal":{"name":"Journal of Anxiety Disorders","volume":"102 ","pages":"Article 102828"},"PeriodicalIF":4.8000,"publicationDate":"2024-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Catching a (sine) wave: Temporal dynamics of nonverbal synchrony in social anxiety disorder\",\"authors\":\"Hallel Shatz , Maya Asher , Idan M. 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引用次数: 0
摘要
社交焦虑症(SAD)患者会遇到一系列的人际交往问题,研究发现,在其中一人患有 SAD 的二人组中,非语言同步性(互动伙伴之间的动作协调)可能会受到影响(Asher 等人,2020 年)。在本研究中,我们考察了患有和未患有 SAD 的个体在 "入门 "对话过程中的非语言同步的时间动态。具体来说,参与者(n = 146)组成了 SAD 双人组(其中一人患有 SAD,另一人没有;n = 37 人组)或对照组(其中两人都没有 SAD;n = 36 人组)。对话组合被随机分配为闲聊或产生亲密感(即亲密)的对话。我们发现,在交谈过程中,非言语同步性遵循一种重复的增减模式,这种模式最好用正弦波来模拟(解释方差 = 63.74%)。我们发现,在非语言同步的时间动态(即正弦波的参数)中,诊断与社会背景之间存在明显的交互作用。具体来说,我们发现对于 SAD 双人组(而非对照组双人组)来说,与产生亲密感的对话相比,在小范围交谈时,表示非语言同步性增减的平均正弦波振幅更大。此外,我们还发现,在对照组对话中(而非 SAD 对话),在产生亲密感的对话中,正弦波的平均垂直偏移量(即非言语同步的平均水平)要比小声交谈时大。这些发现在社交焦虑文献的背景下被解释为捕捉到了两个不同的社交焦虑相关过程,并表明如果从时间上(而不是平均值上)进行考察,非语言同步性可能是 SAD 的一个重要隐性生物标记。
Catching a (sine) wave: Temporal dynamics of nonverbal synchrony in social anxiety disorder
Individuals with social anxiety disorder (SAD) experience a range of interpersonal problems and studies have found that nonverbal synchrony (the coordination between interaction partners’ movements) may be impaired in dyads in which one individual has SAD (Asher et al., 2020). In the present study, we examined the temporal dynamics of nonverbal synchrony during “getting aquatinted” conversations of individuals with and without SAD. Specifically, participants (n = 146) formed either SAD dyads (dyads in which one individual had SAD and the other did not; n = 37 dyads), or control dyads (dyads in which both individuals did not have SAD; n = 36 dyads). Dyads were randomized to either small talk or closeness-generating (i.e., intimate) conversations. We found that during conversations, nonverbal synchrony followed a repeating pattern of increases and decreases that was best modeled by a sinusoidal wave (explained variance = 63.74 %). We found significant Diagnosis × Social Context interactions in the temporal dynamics of nonverbal synchrony (i.e., in the parameters of sine waves). Specifically, we found that for SAD dyads (but not control dyads), the average sine wave amplitude which indicates increases and decreases in nonverbal synchrony was greater during small talk conversations compared to closeness-generating conversations. In addition, we found that among control dyads (but not SAD dyads), the average vertical offset of sine waves (i.e., the average level of nonverbal synchrony) during closeness-generating conversations was greater compared to small talk conversations. The findings are interpreted within the context of the social anxiety literature as capturing two distinct social-anxiety related processes, and suggest that when examined temporally (rather than averaged), nonverbal synchrony may be an important implicit biomarker of SAD.
期刊介绍:
The Journal of Anxiety Disorders is an interdisciplinary journal that publishes research papers on all aspects of anxiety disorders for individuals of all age groups, including children, adolescents, adults, and the elderly. Manuscripts that focus on disorders previously classified as anxiety disorders such as obsessive-compulsive disorder and posttraumatic stress disorder, as well as the new category of illness anxiety disorder, are also within the scope of the journal. The research areas of focus include traditional, behavioral, cognitive, and biological assessment; diagnosis and classification; psychosocial and psychopharmacological treatment; genetics; epidemiology; and prevention. The journal welcomes theoretical and review articles that significantly contribute to current knowledge in the field. It is abstracted and indexed in various databases such as Elsevier, BIOBASE, PubMed/Medline, PsycINFO, BIOSIS Citation Index, BRS Data, Current Contents - Social & Behavioral Sciences, Pascal Francis, Scopus, and Google Scholar.