首页> 美国卫生研究院文献>other >Empathy-Related Responses to Depicted People in Art Works
【2h】

Empathy-Related Responses to Depicted People in Art Works

机译:艺术作品中对被描绘人物的移情相关反应

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

Existing theories of empathic response to visual art works postulate the primacy of automatic embodied reaction to images based on mirror neuron mechanisms. Arguing for a more inclusive concept of empathy-related response and integrating four distinct bodies of literature, we discuss contextual, and personal factors which modulate empathic response to depicted people. We then present an integrative model of empathy-related responses to depicted people in art works. The model assumes that a response to empathy-eliciting figural artworks engages the dynamic interaction of two mutually interlinked sets of processes: socio-affective/cognitive processing, related to the person perception, and esthetic processing, primarily concerned with esthetic appreciation and judgment and attention to non-social aspects of the image. The model predicts that the specific pattern of interaction between empathy-related and esthetic processing is co-determined by several sets of factors: (i) the viewer's individual characteristics, (ii) the context variables (which include various modes of priming by narratives and other images), (iii) multidimensional features of the image, and (iv) aspects of a viewer's response. Finally we propose that the model is implemented by the interaction of functionally connected brain networks involved in socio-cognitive and esthetic processing.
机译:现有的对视觉艺术作品的移情反应理论假设基于镜像神经元机制的图像自动体现反应的重要性。为了寻求与共情有关的反应的更具包容性的概念,并整合了四个不同的文献体系,我们讨论了调适对所描绘的人的共情反应的语境和个人因素。然后,我们提出与移情相关的反应的整体模型,以描述艺术品中的人物。该模型假定,对移情产生的人物形象艺术品的反应涉及两个相互关联的过程的动态相互作用:社会情感/认知过程,与人的感知有关,以及审美过程,主要涉及审美,判断和注意图像的非社会方面。该模型预测,与移情相关的处理和审美处理之间的特定交互模式由以下几组因素共同决定:(i)观看者的个人特征,(ii)上下文变量(包括通过叙事引发的各种模式和其他图像),(iii)图像的多维特征以及(iv)观看者反应的各个方面。最后,我们建议通过参与社会认知和美学加工的功能连接的大脑网络的交互作用来实现该模型。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号