Parsons Thomas D, Gaggioli Andrea, Riva Giuseppe
iCenter for Affective Neurotechnologies (iCAN), Denton, TX 76203, USA.
Computational Neuropsychology and Simulation (CNS) Laboratory, University of North Texas, Denton, TX 76203, USA.
Brain Sci. 2020 Nov 30;10(12):922. doi: 10.3390/brainsci10120922.
Brain science research often involves the use of low-dimensional tools and stimuli that lack several of the potentially valuable features of everyday activities and interactions. Although this research has provided important information about cognitive, affective, and social processes for both clinical and nonclinical populations, there is growing interest in high-dimensional simulations that extend reality. These high-dimensional simulations involve dynamic stimuli presented serially or concurrently to permit the assessment and training of perceivers' integrative processes over time. Moreover, high-dimensional simulation platforms can contextually restrain interpretations of cues about a target's internal states. Extended reality environments extend assessment and training platforms that balance experimental control with emotionally engaging background narratives aimed at extending the affective experience and social interactions. Herein, we highlight the promise of extended reality platforms for greater ecological validity in the clinical, affective, and social neurosciences.
脑科学研究通常涉及使用低维度工具和刺激，这些工具和刺激缺乏日常活动和互动中一些潜在的宝贵特征。尽管这项研究为临床和非临床人群提供了有关认知、情感和社会过程的重要信息，但人们对扩展现实的高维度模拟越来越感兴趣。这些高维度模拟涉及串行或并行呈现的动态刺激，以便随着时间的推移对感知者的整合过程进行评估和训练。此外，高维度模拟平台可以在情境中限制对目标内部状态线索的解释。扩展现实环境扩展了评估和训练平台，这些平台在实验控制与旨在扩展情感体验和社会互动的情感投入背景叙事之间取得平衡。在此，我们强调扩展现实平台在临床、情感和社会神经科学中具有更高生态效度的前景。
