Embedding Spatial Augmented Reality in Culinary Training: A Comparative Evaluation of sAR Kitchen and Video Tutorials

IF 2.9 3区教育学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

IEEE Transactions on Learning Technologies Pub Date : 2023-11-20 DOI:10.1109/TLT.2023.3334788

Yalda Ghasemi;Allison Bayro;Justin MacDonald;Heejin Jeong;Joel Reynolds;Chang S. Nam

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引用次数: 0

Abstract

Cooking is a multitasking and rule-based task that can benefit from augmented reality (AR). This article introduces sAR Kitchen , an AR-based cooking assistant designed to incorporate spatial AR (sAR) into culinary training. We investigated the effects of instructions provided through our proposed sAR system compared to a monitor display featuring video tutorials in a task involving making playdough, which serves as a representation of a cooking task. We assessed perceived workload, usability, and performance measures (including task completion time, product quality, and cooking station messiness) through a user study involving 22 participants. We conducted a statistical comparison between the two methods to explore significant differences. In addition, we analyzed open-ended questions to provide further insights based on the participants' statements. The results indicated that sAR significantly reduced the perceived workload and improved the system's usability. Furthermore, the AR instructions for training proved to be as effective as conventional methods of instruction while also addressing some of the limitations associated with standard displays and enhancing the overall user experience. This study has the potential to pave the way for more efficient learning and training methods by incorporating sAR.

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在烹饪培训中嵌入空间增强现实技术：sAR 厨房和视频教程的比较评估

烹饪是一项多任务和基于规则的任务，可以从增强现实（AR）中获益。本文介绍了 sAR Kitchen，这是一款基于 AR 的烹饪助手，旨在将空间 AR（sAR）融入烹饪培训中。我们研究了在一项涉及制作橡皮泥的任务中，通过我们提出的 sAR 系统提供的指导与显示器上的视频教程相比所产生的效果。我们通过一项有 22 名参与者参与的用户研究，对感知工作量、可用性和性能指标（包括任务完成时间、产品质量和烹饪台的混乱程度）进行了评估。我们对两种方法进行了统计比较，以探究它们之间的显著差异。此外，我们还分析了开放式问题，以便根据参与者的陈述提供进一步的见解。研究结果表明，sAR 大大降低了感知工作量，提高了系统的可用性。此外，用于培训的 AR 指导被证明与传统指导方法一样有效，同时还解决了与标准显示器相关的一些局限性，并增强了整体用户体验。这项研究有可能通过结合 sAR 为更高效的学习和培训方法铺平道路。

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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来源期刊

IEEE Transactions on Learning Technologies COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-

CiteScore

7.50

自引率

5.40%

发文量

审稿时长

>12 weeks

期刊介绍： The IEEE Transactions on Learning Technologies covers all advances in learning technologies and their applications, including but not limited to the following topics: innovative online learning systems; intelligent tutors; educational games; simulation systems for education and training; collaborative learning tools; learning with mobile devices; wearable devices and interfaces for learning; personalized and adaptive learning systems; tools for formative and summative assessment; tools for learning analytics and educational data mining; ontologies for learning systems; standards and web services that support learning; authoring tools for learning materials; computer support for peer tutoring; learning via computer-mediated inquiry, field, and lab work; social learning techniques; social networks and infrastructures for learning and knowledge sharing; and creation and management of learning objects.