Exploring User Interfaces and User Satisfaction in Augmented Reality

Abstract

Background: This article explores the relationship that exists between Human-Computer Interaction (HCI) and User Experience (UX), by carrying out an empirical analysis of how HCI elements influence UX in Augmented Reality (AR) interfaces. Objective: The study examines the impact of varied AR interfaces on task performance, error rates, and user satisfaction. Methodology: The research was approached using an interdisciplinary methodology, derived from design-computer science psychology insights. During the research was conducted surveys and experimental studies, as well as case studies to analyze user performance with three levels of AR interfaces: basic AR interface, advanced AR interface, and voice-activated AR interface. Single-dimensional interaction counts were monitored from 800 participants for over 40k interactions. Results: The results indicate that advanced, voice-activated interfaces outperformed basic ones in task completion times and user satisfaction The better the design of an interface was, the more quickly people completed the tasks — to a significant degree (r = -0.82 and p less than 0.01) thus demonstrating that task times are inversely proportional on average to user satisfaction with efficiency during use. In addition, error rates and cognitive load differed significantly between age groups, therefore there is a reason for an adjusted interface according to age. Conclusion: This research offers useful advice for developers of AR, such as incorporating voice commands and affordable options for cross-platform use. The results are important for enhancing AR interface design, especially in fields such as healthcare, education, and industry.