Open AccessImplementation Success of an Indoor Navigation with Location-Based Augmented Reality
Author(s) -
Mashael Khayyat,
Saadiah Yahya,
Muna Alsharabi,
Atheir Aljahdali,
A. Al-Shehri
Publication year - 2020
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.e4915.038620
Subject(s) - continuance , global positioning system , computer science , augmented reality , human–computer interaction , set (abstract data type) , interface (matter) , mobile device , multimedia , world wide web , telecommunications , bubble , maximum bubble pressure method , parallel computing , political science , law , programming language
Confirming the adoption and use of information technology is central to human-computer interaction. User experience (UX) and Usage Continuance (UC) which latently signifying implementation success are vocal upon this mechanism. The advent of smart phones and mobile technologies such as Geographical Positioning System (GPS) has seen great proliferation in positioning outdoor location. However, GPS is incapable to work in an indoor environment (Hub, 2008) properly. Hence, for navigating indoor location one need to combine the existing mobile technologies and most of their components with location-based augmented reality. In this paper, implementation success of Indoor Navigation with Location-Based Augmented Reality named ‘GuideMe” is studied. The factors considered to evaluate implementation success are adopted from information systems and mobile computer interface literature. The objectives of this paper are to determine users’ experience (satisfaction) and usage continuance of GuideMe. Prior to that, GuideMe has been successfully designed and developed using IOS with tools (Unity engine, Placenote SDK and XCode to set up IOS packages), User feedbacks are gathered via questionnaire forms taken from 35 respondents who volunteer to experiment GuideMe. The volunteers are free to choose and navigate offices at buildings of University of Jeddah (UJ), with the help of GuideMe. The findings of the study conclude that: GuideMe has facilitated users to navigate and seek indoor location independently, conveniently and efficiently since they did not disturb or asked others for directions. Hence, this has improved users’ experience which indicates users’ satisfaction. The high value of mean for “behavioral intention to use” has shown users intend to continue using GuideMe. This is further verified and confirmed by “expectation confirmation” analysis. These findings have the potential to deploy GuideMe to large complexes, such as airports, shopping malls, schools, hospitals and libraries in a cost-effective manner.