![]() Due to the support of highly advanced technologies, soon they might be ubiquitous and networks of drones might be used in providing civilian drone services. Recently, drones (or unmanned aerial vehicles (UAVs)) are getting increasing attention and taking mobile computing to a new era. The paper presents a set of future challenges regarding such systems. Originality/value – The paper is an original review of physical annotation systems there does not seem to be many such reviews on this area. There is a potential shift in the way people view the physical world, not only as what we see but as what we see through the devices we carry. Social implications – Physical annotation systems will affect the relationships between people, between people and places and between people and things. ![]() ![]() Practical implications – New better physical annotation systems are needed, which will change the way we do things in life, including personal memory, tourism, commerce, security, games, traffic management, entertainment and health. Hence, there are important research issues to address with regards to physical annotation systems. Research limitations/implications – As technology develops, physical annotations will become increasingly important in daily life. However, there are issues such as cognitive overload, trust, transient associations, and integrating of social networking with physical annotations. Findings – Physical annotation systems evolve as technology progresses. The authors' classification of the physical annotation systems is based on the capabilities they provide. Design/methodology/approach – The authors first provide a review and a comparison of existing physical annotation systems. ![]() Moreover, the paper provides a taxonomy of physical annotation systems, including augmented reality systems and concludes with future challenges concerning such systems. Purpose – The purpose of this paper is to investigate the related issues of physical annotation systems and also to study their historical development. ![]()
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