Department of Electrical Engineering and Automation, Aalto University, Espoo, Finland.
Center of Ubiquitous Computing, Faculty of Information Technology and Electrical Engineering, University of Oulu, Oulu, Finland.
Behav Res Methods. 2021 Dec;53(6):2668-2688. doi: 10.3758/s13428-021-01586-6. Epub 2021 May 23.
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.
随着消费级产品在呈现沉浸式虚拟环境 (VE) 方面的出现,人们越来越有兴趣利用 VE 来测试人类的导航行为。然而,准备 VE 仍然需要在计算机图形学和虚拟现实方面具备高水平的技术专业知识,这对于接受新兴技术来说是一个巨大的障碍。为了解决这个问题,本文提出了基于延迟反馈的沉浸式导航环境 (DeFINE),这是一个框架,通过直观的图形用户界面和简单的设置文件,允许在可定制的 VE 中轻松创建和管理导航任务。重要的是,DeFINE 具有在实验过程中为参与者提供性能反馈的内置功能,这是其他类似框架中严重缺失的功能。为了从实验者和参与者的角度展示 DeFINE 的可用性,进行了一次演示,参与者在反馈中根据速度和准确性对其响应进行不同加权,从而导航到隐藏的目标位置。此外,参与者还评估了 DeFINE 的易用性、所需工作量以及引起网络晕动症的倾向。该演示说明了 DeFINE 可以容纳的典型实验操作以及它可以收集哪些类型的数据来描述参与者的任务表现。凭借其即插即用的功能和由于开源许可而具有的潜在可定制性,DeFINE 使许多研究人员更容易使用 VE。