PERTANIKA JOURNAL OF SCIENCE AND TECHNOLOGY

This systematic literature review (SLR) investigates interaction strategies in augmented reality (AR)-situated visualizations that support decision-making tasks. Despite its growing relevance, a gap remains in understanding how users interact with these systems to perform decision-related tasks. This review aims to examine how various interaction modalities contribute to effective user engagement in decision-making contexts. A total of 23 peer-reviewed studies, published between 2016 and 2024, were analyzed using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines to ensure methodological rigor and conceptual alignment. The review focuses on device types, manipulation methods, and interaction modalities. Findings indicate that head-mounted displays (HMDs) are commonly used in immersive settings, while hand-held devices (HHDs) are preferred for their portability and affordability. Touchscreen interaction dominates among HHDs, enabling direct manipulation, while gesture and voice commands are more prominent in HMD-based systems. A conceptual mapping aligns these modalities with manipulation methods such as selection, navigation, and filtering based on Brehmer and Munzner’s typology. This review also highlights key challenges, including limited collaborative support, usability concerns, and underrepresentation of domains such as industrial training and public events. This work provides a structured foundation for designing AR-situated visualization systems that better support decision-making across diverse application contexts.