Virginia Tech
Intelligent Augmented Reality (iAR):Context-aware Inference and Adaptation in AR
Abstract
dc:description.abstractAugmented Reality (AR) transforms the entire 3D space around the user into a dynamic screen, surpassing the limitations of traditional displays and enabling efficient access to multiple pieces of information simultaneously, all day, every day. Recent developments in AR eyeglasses promise that AR could become the next generation of personal computing devices. To realize this vision of pervasive AR, the AR interface must address the challenges posed by constant and omnipresent virtual content. As the user's context changes, the virtual content in AR head-worn displays can occasionally become obtrusive, hindering the user's perception and awareness of their surroundings and their interaction with both the virtual and physical worlds. An intelligent interface is needed to adapt the presentation and interaction of AR content. This dissertation outlines a roadmap towards effective, efficient, and unobtrusive AR through intelligent AR (iAR) systems that automatically learn and adapt the interface to the user's context. To achieve this goal, we: %(1) Design multiple context-aware AR interfaces and explore their design and effectiveness in various contexts through four experiments; (1) Identify multiple AR design principles and guidelines that maintain efficiency while addressing challenges such as occlusion, social interaction, and content placement in AR. (2) Demonstrate the impact of context on AR effectiveness, validating the advantages of context-awareness and highlighting the complexities of implementing a context-aware approach in pervasive AR, particularly in scenarios involving context-switching. (3) Propose a design space for XR interfaces; (4) Develop a taxonomy of quantifiable contextual components and a framework for designing iAR interfaces.
Degree
thesis:*- Name thesis:degree_name
- Doctor of Philosophy
- Level thesis:degree_level
- doctoral
- Discipline thesis:degree_discipline
- Computer Science & Applications
- Department dc:contributor.department
- Computer Science and#38; Applications
- Grantor dc:publisher
- Virginia Tech
- Year dc:date.issued
- 2024
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Davari-Najafabadi, Shakiba
- Chair dc:contributor.committeechair
-
- Bowman, Douglas A.
- Committee members dc:contributor.committeemember
-
- Santos Lages, Wallace
- North, Christopher L.
- Yang, Yalong
- Smith, Missie
Subjects
dc:subject × 6Rights
dc:rights- Statement dc:rights
-
- In Copyright
- Licence dc:rights.uri
- Language dc:language.iso
- en
Identifiers
dc:identifier.*- Dc Identifier Other
- vt_gsexam:41413
- OAI identifier oai:identifier
- oai:vtechworks.lib.vt.edu:10919/121123