About this Research Topic
Augmented Society refers to a society in which many technologies have been applied to improve human abilities and living space. It strengthens or weakens human senses such as vision, hearing, and tactile senses to help collect, store, and process various types of information obtained in environments to support inference and decision-making using artificial intelligence. In other words, the Augmented Society applies a diversity of technologies such as augmented reality (AR), virtual reality (VR), Internet of things (IoT), artificial intelligence, and big data analysis to all areas of the city's infrastructure. It helps to increase the efficiency of all social activities in the city while maintaining the quality of human life. Recently, AR has developed from a small prototype to industrial areas such as manufacturing, medical, and educational. In general, the technical scope of AR is described with keywords such as tracking, graphics, computer vision, HCI, and interface. Due to the complex needs and application domains of modern society, it is reasonable to consider the convergence of many cutting-edge academic disciplines while conceptually expanding rather than limiting the scope of AR. The definition of this technology should be broadened to include Augmented Society, which describes large-scale human activities and the city's infrastructure. We believe that the research should be conducted considering technical aspects, human, political, and social issues.
This research topic aims, through high quality articles, to facilitate multidisciplinary research revolving around the current augmented society challenges associated with AR/VR/MR, artificial intelligence, and IoT.
This topic is not just for technical papers, but also for position and survey papers.
Specific topics of interest include but are not limited to:
- AI for XR
- Digital heritage and preservation
-Digital twin and its applications
-Collaborative XR interfaces
-Conversational and Speech Interfaces for XR
-Human-Computer Interaction for XR
-Machine Learning for XR
-Omnidirectional, 360, immersive Videos for XR
-Spatial AR, Projection mapping, Projector-camera systems
T-eleoperation and telepresence
-User experience, Usability studies and human-subjects experiments for XR
-XR applications from domains such as
-Art, cultural heritage, education and training
-Automotive and aerospace
-Entertainment, sports broadcast
-Health, wellbeing, and medical applications
-Industrial, military, emergency response
-Therapy and rehabilitation
-Further domains not listed above
Keywords: augmented reality, mixed reality, virtual reality, remote collaboration, digital twin, HCI, society, augmented human
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.