Adaptive Augmented Reality Model: Local Context with Storytelling Adaptation in Heritage

• Main Authors: Tenh, Hock Kuan, Shiratuddin, Norshuhada, Zaibon, Syamsul Bahrin
• Format: Conference or Workshop Item
• Language: English
• Published: 2018
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://repo.uum.edu.my/25347/1/SMMTCPS%202018%20153%20156.pdf; http://repo.uum.edu.my/25347/

Adaptive Augmented Reality responds to the user’s characteristics, interests and context with useful and effective real-time information. Users' needs are crucial in enhancing their interaction experience. Currently the emerging technology allows such better support. However, one of the problems identified is the lack of a formal definition of a model required by such technology to adapt to local context and environment. Furthermore, storytelling as a mechanism to enhance users' experience while interacting in such augmented reality space is rarely included. Therefore, the main aim of this research is to propose a formal definition of such model in the forms of user, context, interaction and environment models. These models will then be implemented in an archaeology field as a proof of concept. The main aim of this research is tp propose a formal definition of AAR model in the forms of user, context, interaction and environment models.