Identifying Mobile AR Application Scenarios: A Method for Environmental Agencies

This article introduces a method for identifying application scenarios for mobile augmented reality (mAR) in organizations, particularly focusing on environmental agencies of federal states. As smartphone technology and AR platforms evolve rapidly, mAR has gained significant attention for enhancing business processes and organizational efficiency. Despite numerous successful implementations in varied sectors, there remains a lack of systematic approaches for discovering mAR use cases in organizational contexts, hindering effective application development. Our proposed method emphasizes aligning user needs and business process requirements with AR technology capabilities, ensuring that mAR solutions address specific challenges rather than merely adopting new technology. The method, grounded in design thinking principles, integrates perspectives of economic viability, technical feasibility, and human desirability. We detail the method’s phases, including potential analysis, requirements analysis, and implementation, supported by empirical data from projects conducted with environmental agencies. The findings underscore the method’s effectiveness in swiftly identifying valuable mAR applications that enhance organizational capabilities. Future research will focus on refining the method steps and exploring its applicability to diverse mAR hardware and smart services.