Parsons Thomas D, Gaggioli Andrea, Riva Giuseppe
Department of Psychology, University of North Texas, Denton 76203, USA.
Computational Neuropsychology and Simulation (CNS) Laboratory, University of North Texas, Denton 76203, USA.
Brain Sci. 2017 Apr 16;7(4):42. doi: 10.3390/brainsci7040042.
The emergence of social neuroscience has significantly advanced our understanding of the relationship that exists between social processes and their neurobiological underpinnings. Social neuroscience research often involves the use of simple and static stimuli lacking many of the potentially important aspects of real world activities and social interactions. Whilst this research has merit, there is a growing interest in the presentation of dynamic stimuli in a manner that allows researchers to assess the integrative processes carried out by perceivers over time. Herein, we discuss the potential of virtual reality for enhancing ecological validity while maintaining experimental control in social neuroscience research. Virtual reality is a technology that allows for the creation of fully interactive, three-dimensional computerized models of social situations that can be fully controlled by the experimenter. Furthermore, the introduction of interactive virtual characters-either driven by a human or by a computer-allows the researcher to test, in a systematic and independent manner, the effects of various social cues. We first introduce key technical features and concepts related to virtual reality. Next, we discuss the potential of this technology for enhancing social neuroscience protocols, drawing on illustrative experiments from the literature.
社会神经科学的出现极大地推动了我们对社会过程与其神经生物学基础之间关系的理解。社会神经科学研究通常使用简单且静态的刺激,这些刺激缺乏现实世界活动和社会互动中许多潜在的重要方面。虽然这项研究有其价值,但人们越来越关注以一种能让研究者评估感知者随时间进行的整合过程的方式呈现动态刺激。在此,我们讨论虚拟现实在社会神经科学研究中增强生态效度同时保持实验控制的潜力。虚拟现实是一种技术,它能够创建可由实验者完全控制的、完全交互式的社会情境三维计算机模型。此外,引入由人类或计算机驱动的交互式虚拟角色,使研究者能够以系统且独立的方式测试各种社会线索的效果。我们首先介绍与虚拟现实相关的关键技术特征和概念。接下来,我们借鉴文献中的示例实验,讨论这项技术在增强社会神经科学实验方案方面的潜力。