Using virtual reality technology in linguistic research

Thies Pfeiffer
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引用次数: 17

Abstract

In this paper, we argue that empirical research on genuine linguistic topics, such as on the production of multimodal utterances in the speaker and the interpretation of the multimodal signals in the interlocutor, can greatly benefit from the use of virtual reality technologies. Established methodologies for research on multimodal interactions, like the presentation of pre-recorded 2D videos of interaction partners as stimuli and the recording of interaction partners using multiple 2D video cameras have crucial shortcomings regarding ecological validity and the precision of measurements that can be achieved. In addition, these methodologies enforce restrictions on the researcher. The stimuli, for example, are not very interactive and thus not as close to natural interactions as ultimately desired. Also, the analysis of 2D video recordings requires intensive manual annotations, often frame-by-frame, which negatively affects the feasible number of interactions which can be included in a study. The technologies bundled under the term virtual reality offer exciting possibilities for the linguistic researcher: gestures can be tracked without being restricted to fixed perspectives, annotation can be done on large corpora (semi-)automatically and virtual characters can be used to produce specific linguistic stimuli in a repetitive but interactive fashion. Moreover, immersive 3D visualizations can be used to recreate a simulation of the recorded interactions by fusing the raw data with theoretic models to support an iterative data-driven development of linguistic theories. This paper discusses the potential of virtual reality technologies for linguistic research and provides examples for the application of the methodology.
虚拟现实技术在语言学研究中的应用
在本文中,我们认为,对真实语言主题的实证研究,如说话者多模态话语的产生和对话者多模态信号的解释,可以极大地受益于虚拟现实技术的使用。现有的多模态交互研究方法,如将交互伙伴的预先录制的2D视频作为刺激的呈现,以及使用多个2D摄像机记录交互伙伴,在生态有效性和可实现的测量精度方面存在重大缺陷。此外,这些方法对研究人员施加了限制。例如,刺激不是很互动,因此不像最终期望的那样接近自然互动。此外,对2D视频记录的分析需要大量的手动注释,通常是逐帧注释,这对研究中可包含的可行交互数量产生了负面影响。捆绑在虚拟现实术语下的技术为语言学研究者提供了令人兴奋的可能性:手势可以不受固定视角的限制而被跟踪,注释可以在大型语料库上(半)自动完成,虚拟角色可以以重复但互动的方式产生特定的语言刺激。此外,沉浸式3D可视化可以通过融合原始数据和理论模型来重建记录交互的模拟,以支持语言理论的迭代数据驱动发展。本文讨论了虚拟现实技术在语言学研究中的潜力,并为该方法的应用提供了实例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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