<?xml-model href='http://www.tei-c.org/release/xml/tei/custom/schema/relaxng/tei_all.rng' schematypens='http://relaxng.org/ns/structure/1.0'?><TEI xmlns="http://www.tei-c.org/ns/1.0">
	<teiHeader>
		<fileDesc>
			<titleStmt><title level='a'>Developing an Augmented Reality-Based Interactive Learning System with Real-Time Location and Motion Tracking</title></titleStmt>
			<publicationStmt>
				<publisher>Springer Nature Switzerland</publisher>
				<date>07/09/2023</date>
			</publicationStmt>
			<sourceDesc>
				<bibl> 
					<idno type="par_id">10513854</idno>
					<idno type="doi"></idno>
					
					<author>Ching-Yun Yu</author><author>Jung Hyup Kim</author><author>Sara Mostowfi</author><author>Fang Wang</author><author>Danielle Oprean</author><author>Kangwon Seo</author>
				</bibl>
			</sourceDesc>
		</fileDesc>
		<profileDesc>
			<abstract><ab><![CDATA[This study aims to develop an interactive learning solution for engineering education by combining augmented reality (AR), Near-Field Electromagnetic Ranging (NFER), and motion capture technologies. We built an instructional system that integrates AR devices and real-time positioning sensors to improve the interactive experience of learners in an immersive learning environment, while the motion, eye-tracking, and location-tracking data collected by the devices applied to learners enable instructors to understand their learning patterns. To test the usability of the system, two AR-based lectures were developed with different difficulty levels (Lecture 1 - Easy vs. Lecture 2 - Hard), and the System Usability Scale (SUS) was collected from thirty participants. We did not observe a significant usability difference between Lecture 1 and Lecture 2. Through the experiment, we demonstrated the robustness of this AR learning system and its unique promise in integrating AR teaching with other technologies.]]></ab></abstract>
		</profileDesc>
	</teiHeader>
	<text><body><div/></body></text>
</TEI>
