Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

AR E-Commerce Experience

Case Study Brand Maybelline at Tokopedia

Bibliographic Data

ID21848411
AuthorsLia Herna (Multimedia Nusantara University, corresponding author)
Year2024
Volume17
Issue1
Pages38-48
Publication date2024-06-26
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueULTIMART Jurnal Komunikasi Visual (JOURNAL)
Journal identifiersISSN: 1979-0716 • E-ISSN: 2615-8124
PublisherUniversitas Multimedia Nusantara (PUBLISHER)
DOI10.31937/ultimart.v17i1.3488
OpenAlexW4400097224
LanguageEN
References cited1

Online shopping culture is one of the popular cultures that is currently developing. This popular culture develops along with the rapid development of new media. E-commerce is starting to utilize Augmented Reality as part of its features. Tokopedia launched an AR feature for consumers to try various makeup products. As AR applications in the consumer market are still emerging, studies on AR are insufficient. In this study, the authors analyzed the level of user acceptance of AR implementation in Tokopedia e-commerce by testing the user experience (UX) dimension using a mixed method. Qualitative methods with 5 respondents and quantitative interviews with a system usability scale (SUS) and a user experience questionnaire (UEQ) were conducted on 23 respondents. The results obtained, SUS got a value of 77.61 and UEQ with the value of each category being greater than the impression value. The AR feature has a very positive reception overall, indicating its potential for future use in all industries. Keywords: augmented reality; user experience; maybelline; tokopedia

Business · E-commerce · World Wide Web · Augmented Reality Applications · Computer Science

  • Shopping in the digital world

    Open Access•Graeme McLean, Alan Wilson•Computers in Human Behavior•2019

Citation velocityhistorical
Highly citedNo

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae