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认知和情感心理理论的多维解释的证据:状态追踪分析。

Evidence for a multidimensional account of cognitive and affective theory of mind: A state-trace analysis.

机构信息

Justice and Society Unit, University of South Australia, Adelaide, Australia.

College of Education, Psychology and Social Work, Flinders University, Adelaide, Australia.

出版信息

Mem Cognit. 2024 Apr;52(3):525-535. doi: 10.3758/s13421-023-01481-9. Epub 2023 Nov 28.

Abstract

Theory of mind (ToM) has been argued to be a multidimensional construct, with ToM inferences depending on distinct processes across affective and cognitive ToM tasks and across first-order cognitive and second-order cognitive ToM tasks. Behavioural evidence for a multidimensional account has primarily depended on dissociations identified via analysis of variance, a statistical approach insufficient for assessing dimensionality. Instead, state-trace analysis (STA) is a more appropriate statistical technique to uncover dimensionality. The current study first applied STA to two summary datasets that had previously identified key dissociations between cognitive and affective ToM; these reanalyses did not support a multidimensional account of ToM. Next, STA was applied to a more detailed dataset to reveal whether ToM is based on multiple processes in a sample of 115 older adults aged 60-85 years (M = 68.5, SD = 5.92, 61.7% female) with higher or lower emotion perception ability. Participants made ToM judgements about different social exchanges (e.g., sarcasm or lying). STA results supported a multidimensional account of ToM across first-order cognitive, second-order cognitive, and affective ToM subdomains. These results lay a more rigorous foundation for subsequent studies to further examine the dimensionality of ToM and to apply formal modelling, progressing the field's understanding and measurement of the cognitive processes driving ToM judgements.

摘要

心理理论(ToM)被认为是一个多维结构,ToM 推理取决于情感和认知 ToM 任务以及一阶认知和二阶认知 ToM 任务中的不同过程。多维解释的行为证据主要取决于方差分析识别的分离,这是一种评估维度性不足的统计方法。相反,状态轨迹分析(STA)是一种更合适的统计技术,可以揭示维度性。本研究首先将 STA 应用于两个汇总数据集,这些数据集先前已经确定了认知和情感 ToM 之间的关键分离;这些重新分析并不支持 ToM 的多维解释。接下来,STA 应用于更详细的数据集,以揭示在 115 名年龄在 60-85 岁(M = 68.5,SD = 5.92,61.7%为女性)的老年人样本中,情绪感知能力较高或较低的情况下,ToM 是否基于多个过程。参与者对不同的社交互动(例如讽刺或撒谎)做出 ToM 判断。STA 结果支持一阶认知、二阶认知和情感 ToM 子领域的 ToM 多维解释。这些结果为后续研究进一步检验 ToM 的维度性以及应用正式模型奠定了更严格的基础,从而推进了该领域对驱动 ToM 判断的认知过程的理解和测量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7349/11021350/264eb907ac2d/13421_2023_1481_Fig1_HTML.jpg

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