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

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.

The Effectiveness of Online Platforms after the Pandemic: Will Face-to-Face Classes Affect Students’ Perception of Their Behavioural Intention (BIU) to Use Online Platforms?

“…In recent years, there has been a tremendous focus on increasing the acceptance of online learning platforms, as these are used as media to create a new educational environment that has features, tools [1][2][3] and an atmosphere that is rather different from that of traditional classrooms [4,5]. This investigation aimed at exploring the impact of certain factors on teachers' and students' perceptions of these online learning platforms [6][7][8][9].…”

Measuring Technology Acceptance Model to use Metaverse Technology in Egypt

“…Second part consisted of items that aimed to assess the theoretical constructs of the study. To assess the Perceived ease of use ,five items were adapted from (Lee,2021;Henningsson et al, 2020;Alsharhan et al, 2022;Bodendorf, and Franke, 2022).To assess the perceived usefulness was measured using five items adapted from Venkatesh& Davis (1996). Additionally, perceived ease of use was measured using four items adapted from (Al-Oudat and Altamimi, 2022).…”

“…Additionally, perceived ease of use was measured using four items adapted from (Al-Oudat and Altamimi, 2022). On the other hand, social influence was assessed using two items adapted from (Alsharhan et al, 2022). Security was measured using two items from (Alsharhan et al, 2022).…”

“…On the other hand, social influence was assessed using two items adapted from (Alsharhan et al, 2022). Security was measured using two items from (Alsharhan et al, 2022). Technology availability was assessed by using four items adapted from (Al-Oudat and Altamimi, 2022).…”

“…Technology availability was assessed by using four items adapted from (Al-Oudat and Altamimi, 2022). Finally, trust was measured using three items adapted from (Alsharhan et al, 2022). The questionnaire depended on a five-point Likert scale ranging from strongly disagree to strongly agree to measure the studies constructs.…”