论文标题

定义:延迟基于反馈的沉浸式导航环境,用于研究目标指导的人类导航

DeFINE: Delayed Feedback based Immersive Navigation Environment for Studying Goal-Directed Human Navigation

论文作者

Tiwari, Kshitij, Kyrki, Ville, Cheung, Allen, Yamamoto, Naohide

论文摘要

随着消费级产品的出现,用于展示身临其境的虚拟环境(VE),人们对利用VES来测试人类导航行为越来越兴趣。但是,准备工作仍然需要在计算机图形和虚拟现实方面具有高水平的技术专业知识,这为拥抱新兴技术带来了重大障碍。为了解决此问题,本文介绍了延迟基于反馈的沉浸式导航环境(Define),该框架可以轻松创建和通过直觉的图形用户界面和简单的设置文件来自定义VES中的导航任务。重要的是,Define具有内置能力,可以在实验期间向参与者提供性能反馈,该功能在其他类似框架中严重缺少。为了显示从实验者和参与者的观点中定义的可用性,进行了示范,其中参与者以反馈的反馈差异加权的速度和响应的准确性,导航到隐藏的目标位置。此外,参与者评估了其易用性,所需的工作量和倾斜度以诱导Cyber​​sickness的定义。示范的例证典型的实验操作定义了适应性以及可以收集哪些类型的数据来表征参与者的任务绩效。 Define凭借其开箱即用的功能和潜在的可定制性,使VES更容易被许多研究人员访问。

With the advent of consumer-grade products for presenting an immersive virtual environment (VE), there is a growing interest in utilizing VEs for testing human navigation behavior. However, preparing a VE still requires a high level of technical expertise in computer graphics and virtual reality, posing a significant hurdle to embracing the emerging technology. To address this issue, this paper presents Delayed Feedback based Immersive Navigation Environment (DeFINE), a framework that allows for easy creation and administration of navigation tasks within customizable VEs via intuitive graphical user interfaces and simple settings files. Importantly, DeFINE has a built-in capability to provide performance feedback to participants during an experiment, a feature that is critically missing in other similar frameworks. To show the usability of DeFINE from both experimentalists' and participants' perspectives, a demonstration was made in which participants navigated to a hidden goal location with feedback that differentially weighted speed and accuracy of their responses. In addition, the participants evaluated DeFINE in terms of its ease of use, required workload, and proneness to induce cybersickness. The demonstration exemplified typical experimental manipulations DeFINE accommodates and what types of data it can collect for characterizing participants' task performance. With its out-of-the-box functionality and potential customizability due to open-source licensing, DeFINE makes VEs more accessible to many researchers.

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