Open AccessTechnology acceptance drivers for AR smart glasses in the middle east: A quantitative study
Author(s) -
Abdulla M. Alsharhan,
Said A. Salloum,
Ahmad Aburayya
Publication year - 2022
Publication title -
international journal of data and network science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.296
H-Index - 7
eISSN - 2561-8156
pISSN - 2561-8148
DOI - 10.5267/j.ijdns.2021.9.008
Subject(s) - psychology , usability , exploratory research , exploratory factor analysis , regression analysis , technology acceptance model , value (mathematics) , variables , marketing , applied psychology , business , computer science , statistics , sociology , mathematics , social science , human–computer interaction , service (business)
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.