Exploring context-sensitive collaborative augmented reality applications

In smart spaces limited amount of physical resources are available. Also, system should be able to offer relevant information according to user’s personal preferences. At the same time smart environments could serve many users with same requirement of relevancy and operate on limited resources. Sometimes it may not be possible to share resource in a way that respects all users without compromising collaboration. This thesis is focused on solving the problem of shared resource from the perspective of augmented reality. Selected standpoint is on mobile collaborative augmented reality and context-awareness. A small user study has been arranged as part of thesis to bring out information about user’s thoughts and emotions while using a simple prototype application. In addition, a small literature review about main concepts is conducted. There is a short analysis of some collaborative augmented reality applications presented based on recent literature. Results of the thesis show that even with small experiments it is possible to discover new information from users. Results also provide tentative answers to presented research questions. Main findings are that users have high expectations towards context-awareness and augmented reality technologies. They also expect applications to offer relevant, validated and also surprising information in each situation. This thesis has some evidence about suitability of augmented reality in context-aware applications that are targeted to support human-to human collaboration. With augmented reality it is possible to offer individual standpoints for users while they are inspecting limited, shared resources. Endorsement of user’s ability to monitor their environment is one challenge in large smart environments. Finally, software engineer can take user’s expectations into account when designing context-aware systems for smart environments. Also, developer could implement system that takes advantage of different human sensory modalities

Exploring context-sensitive collaborative augmented reality applications

In smart spaces limited amount of physical resources are available. Also, system should be able to offer relevant information according to user’s personal preferences. At the same time smart environments could serve many users with same requirement of relevancy and operate on limited resources. Sometimes it may not be possible to share resource in a way that respects all users without compromising collaboration. This thesis is focused on solving the problem of shared resource from the perspective of augmented reality. Selected standpoint is on mobile collaborative augmented reality and context-awareness. A small user study has been arranged as part of thesis to bring out information about user’s thoughts and emotions while using a simple prototype application. In addition, a small literature review about main concepts is conducted. There is a short analysis of some collaborative augmented reality applications presented based on recent literature. Results of the thesis show that even with small experiments it is possible to discover new information from users. Results also provide tentative answers to presented research questions. Main findings are that users have high expectations towards context-awareness and augmented reality technologies. They also expect applications to offer relevant, validated and also surprising information in each situation. This thesis has some evidence about suitability of augmented reality in context-aware applications that are targeted to support human-to human collaboration. With augmented reality it is possible to offer individual standpoints for users while they are inspecting limited, shared resources. Endorsement of user’s ability to monitor their environment is one challenge in large smart environments. Finally, software engineer can take user’s expectations into account when designing context-aware systems for smart environments. Also, developer could implement system that takes advantage of different human sensory modalities