Relationships among Beliefs, Attitudes, Time Resources, Subjective Norms, and Intentions to Use Wearable Augmented Reality in Art Galleries

Abstract

As a result of interactive and immersive technologies such as augmented reality, almost every service business has changed their ways of engaging with consumers. However, there has been little research on acceptance and use of wearable augmented reality (AR) in interactive services in museums and art galleries. Therefore, the aim of this study was to investigate the causal relationships among customers’ beliefs, evaluation, attitudes, perceived behavior control (time resources), subjective norms, and intentions to use wearable AR and visit a tourist attraction (an art gallery) using the theory of planned behavior. The results showed that time resources affected intention to visit an art gallery, while attitude toward wearable AR had an impact on intention to use wearable AR. Subjective norms were found to predict intentions, and the intention to use wearable AR was found to influence the intention to visit an art gallery.

University Student Readiness and Its Effect on Intention to Participate in the Flipped Classroom Setting of Hybrid Learning

“…Many researchers modified the theory to explain one's intention or behavior. Perceived behavioral control is similar to self-efficacy, except perceived behavioral control includes both external and internal factors [30]. Researchers asked students about their intention to join the flipped classroom lesson and did not measure the actual behavior; thus, our model does not contain the behavior construct.…”

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“…When the actual consumption experience meets/exceeds primary expectations, users confirm the expectations, are satisfied and continue their engagement with the service provider. Most applications of this model assume that satisfaction is the immediate cause of behavioural intentions; however, Churchill and Surprenant (1982) , and later Hsu et al (2006) , argue that the perceived performance, shaped through signals, also needs to be considered as an antecedent to the expectations and satisfaction ( Filieri et al, 2020 ; Jung et al, 2020 ).…”

A systematic review of structural equation modeling in augmented reality applications

“…References Not consider other factors (21) [25], [26], [30], [31], [32], [38], [43], [44], [45], [46], [47], [48], [49], [50], [51], [52], [53], [54], [55], [56], [57] Convenience sampling (19) [32], [35], [37], [40], [43], [45], [46], [50], [52], [53], [55], [57], [58], [59], [60], [61], [62], [63],…”

“…[64] Multi levels analysis (17) [25], [37], [44], [45], [46], [48], [49], [51], [55], [56], [59], [62], [65], [66], [67], [68], [69] Limited to one region (16) [30], [32], [33], [37], [38], [46], [47], [48], [49], [54], [56], [58], [59], [63], [68], [70] Tailored to a specific AR product (14) [45], [46], [47], [52], [53], [54], [57], [61], [62], [64], [65], [67], [68], [70] Small Sample Size (10) [30], [32], [33],…”