Technology acceptance drivers for AR smart glasses in the middle east : a quantitative study

Alsharhan, A, Salloum, SA ORCID: https://orcid.org/0000-0002-6073-3981 and Aburayya, A 2022, 'Technology acceptance drivers for AR smart glasses in the middle east : a quantitative study' , International Journal of Data and Network Science, 6 (1) , pp. 193-208.

[img]
Preview
PDF - Published Version
Available under License Creative Commons Attribution 4.0.

Download (1MB) | Preview

Abstract

This study aims to establish Middle East users' perspectives on the major factors that impact their decision to adopt Augmented Reality AR smart glasses (ARSG). Thus, an online questionnaire was designed and sent directly to the respondents, and 584 valid data points were collected from individuals living in the Middle East. The data were analyzed using Pearson correlations and Exploratory Factor Analysis (EFA) techniques using SPSS. Eleven hypotheses were tested using Multiple Regression analysis, where seven independent variables out of eleven were confirmed to have a significant impact on the perceived adoption of ARSG. The results indicate that four of the independent variables including Pre-Market Knowledge, Image, Own privacy and Technology innovativeness show the significant impact on ARSG adoption at the 1% significant level. In addition, the results indicate that three of the social and technological factors include Perceived Ease of use, Perceived usefulness and Other's privacy show the significant effect on ARSG adoption at the 5% significant level. Among the 7 social and technological factors, the results suggest that technology innovation expresses the strongest effect on ARSG adoption with the highest coefficient value of 0.413 (b = 0.413, t = 12.881, ρ < 0.01). Moreover, user intention is significantly impacted by gender and place of living but not by education or age. The research also provides pre-market insights on users' personal types that represent who will most likely adopt the new smart glasses and that differentiate them based on their priorities. To the best of our knowledge, this is among the first works to investigate technology acceptance drivers of AR smart glasses in the Middle East.

Item Type: Article
Schools: Schools > School of Computing, Science and Engineering
Journal or Publication Title: International Journal of Data and Network Science
Publisher: Growing Science
ISSN: 2561-8148
Related URLs:
Depositing User: USIR Admin
Date Deposited: 11 Jan 2022 11:39
Last Modified: 11 Jan 2022 11:45
URI: http://usir.salford.ac.uk/id/eprint/62773

Actions (login required)

Edit record (repository staff only) Edit record (repository staff only)

Downloads

Downloads per month over past year