Interacting with augmented reality: How does location-based AR enhance learning?

Ruobing Li, Bo Zhang, S. Shyam Sundar, Henry Been Lirn Duh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Scopus citations

Abstract

Augmented Reality (AR) can provide additional information about mediated events, but can it enhance our learning and comprehension? We performed a user study of a location-based AR application in order to answer this question. A 2-condition (AR modality vs. non-AR digital book modality) between-subjects experiment with 36 dyads of secondary school students in Singapore was conducted to examine how the use of AR modality in an educational context impacts students' learning performance. Data from the experiment showed that location-based AR improved students' learning performance by catching their attention and enhancing their ability to elaboratively process the information they encountered. Theoretical and practical implications are discussed.

Original languageEnglish (US)
Title of host publicationHuman-Computer Interaction, INTERACT 2013 - 14th IFIP TC 13 International Conference, Proceedings
Pages616-623
Number of pages8
EditionPART 2
DOIs
StatePublished - Sep 5 2013
Event14th IFIP TC 13 International Conference on Human-Computer Interaction, INTERACT 2013 - Cape Town, South Africa
Duration: Sep 2 2013Sep 6 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume8118 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other14th IFIP TC 13 International Conference on Human-Computer Interaction, INTERACT 2013
CountrySouth Africa
CityCape Town
Period9/2/139/6/13

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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    Li, R., Zhang, B., Sundar, S. S., & Duh, H. B. L. (2013). Interacting with augmented reality: How does location-based AR enhance learning? In Human-Computer Interaction, INTERACT 2013 - 14th IFIP TC 13 International Conference, Proceedings (PART 2 ed., pp. 616-623). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8118 LNCS, No. PART 2). https://doi.org/10.1007/978-3-642-40480-1_43