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理解将启发式评估方法应用于虚拟现实训练系统的陷阱与机遇:一项实证研究。

Understanding Pitfalls and Opportunities of Applying Heuristic Evaluation Methods to VR Training Systems: An Empirical Study.

作者信息

Guo Xiaolei, Nerella Kushal Kumar, Dong Jiahui, Qian Zhenyu, Chen Yingjie

机构信息

Department of Computer Graphics Technology, Purdue University, West Lafayette, USA.

Department of Art and Design, Purdue University, West Lafayette, USA.

出版信息

Int J Hum Comput Interact. 2024;40(9):2168-2184. doi: 10.1080/10447318.2022.2161238. Epub 2023 Jan 13.


DOI:10.1080/10447318.2022.2161238
PMID:38863735
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11164547/
Abstract

The usability of virtual reality (VR) training applications is crucial for their success, but examining the usability in the early development stages remains challenging. A realistic and plausible solution would be revisiting and reconciling Heuristics Evaluation (HE) methods among the most widely used usability inspection methods in the human-computer interaction (HCI) domain. While research on studying and using HE methods is growing within the VR domain, few studies have considered the novel VR environment challenges new requirements for fitting HE methods to the context and applying them effectively. To this end, we conducted a user study with 14 evaluators using the standard HE methods to complete two HE sessions for a VR training application. We identified five critical challenges that evaluators encountered in the HE process by observing and interviewing them. Based on our findings, we discuss the importance of considering an easy-to-use heuristic set, how we can facilitate the HE procedures in the VR context, and the opportunities for developing HE-supporting tools.

摘要

虚拟现实(VR)训练应用程序的可用性对其成功至关重要,但在早期开发阶段检查其可用性仍具有挑战性。一个现实可行的解决方案是重新审视并协调人机交互(HCI)领域中使用最广泛的可用性检查方法之一——启发式评估(HE)方法。虽然在VR领域中研究和使用HE方法的相关研究正在不断增加,但很少有研究考虑到新颖的VR环境对使HE方法适应该环境并有效应用提出了新的要求。为此,我们进行了一项用户研究,让14名评估人员使用标准的HE方法,针对一个VR训练应用程序完成两次HE评估。通过观察和访谈,我们确定了评估人员在HE过程中遇到的五个关键挑战。基于我们的研究结果,我们讨论了考虑一套易于使用的启发式方法的重要性、如何在VR环境中促进HE程序,以及开发支持HE的工具的机会。

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本文引用的文献

[1]
Development of CryoVR, a virtual reality training system for hands-on cryoEM operations.

Acta Crystallogr D Struct Biol. 2022-7-1

[2]
A Systematic Review of 10 Years of Augmented Reality Usability Studies: 2005 to 2014.

Front Robot AI. 2018-4-17

[3]
Challenges and Practical Considerations in Applying Virtual Reality in Medical Education and Treatment.

Oman Med J. 2020-5-18

[4]
Effects of Different Types of Virtual Reality Display on Presence and Learning in a Safety Training Scenario.

IEEE Trans Vis Comput Graph. 2017-1-16

[5]
Establishing usability heuristics for heuristics evaluation in a specific domain: Is there a consensus?

Appl Ergon. 2016-9

[6]
An interdisciplinary heuristic evaluation method for universal building design.

Appl Ergon. 2009-7

[7]
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J Adv Nurs. 2003-2

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