Augmented reality interactive technology and interfaces: a construal-level theory perspective

Abstract

PurposeIn modern e-commerce and omnichannel management, consumers can utilize visual information delivered by augmented reality interactive technology (ARIT) to relate to products and view them worn on themselves. Accordingly, ARIT is increasingly common in online retail environments because this dynamicproduct imagery decreases the gap between online and offline shopping. On the basis of construal-level theory (CLT), this study not only examines the system characteristics that impact the perceived ease of use and usefulness of ARIT but also explores how these system characteristics can successfully affect online consumers to adopt ARIT in retail settings.Design/methodology/approachIn this study, ARIT is applied mainly in an online clothes fitting context. By conducting a task-based laboratory study, 344 valid samples were collected. Structure equation modeling (SEM) was employed for further analysis.FindingsNavigation structure, graphic style and information content were identified as the three system characteristics that affect perceived ease of use and usefulness of ARIT. Of the three characteristics, information content has the greatest impact on perceived ease of use and usefulness of ARIT. The study also found that navigation structure, graphic style and information content all shape ARIT system characteristics, and this explains and predicts the perceived usefulness and perceived ease of use effect better than any original single system characteristic.Originality/valueInteractive marketing research indicates that the influence of immediately visualizing consumer–product matching effects creates excitement, arouses emotions and triggers curiosity to explore additional product purchase experiences. This study contributes to the present body of knowledge of the concept of ARIT systems. This is a pioneer research that uses CLT to act as a crucial psychological mechanism that dominates online fitting and apparel appraisal for consumers using ARIT. This study serves as a reference for designing and employing multisensory ARIT applications in interactive marketing to drive online sales.