Optical See-Through Augmented Reality for Task Support in Dynamic Environments

Recent breakthroughs in processing capabilities, miniaturization of electronic components, advancements in wireless technology, and the evolution of artificial intelligence have heralded an era of unprecedented product functionalities, especially within the consumer electronics domain. As these products become intrinsic parts of our work and daily environments, they offer more than just connectivity and intelligence. They actively shape interactive ecosystems, propelling us into an age defined by pervasive interaction. Yet, this ascent comes with inherent challenges. Crafting Human-Computer Interaction (HCI) within these complex systems can introduce unforeseen complexities. Navigating these intricacies demands a nuanced comprehension of changing task dynamics and an adept strategy for ensuring fluid user engagements. The increasing cognitive load brought on by a surge in interactive modalities and information emphasizes the need for more intuitive interfaces and experiences. Herein lies the potential of an innovative synthesis of Augmented Reality (AR) and systems engineering, aimed at crafting unified human-computer interaction models. Against this backdrop, the research proposes the potential of optical see-through aug- mented reality (OST-AR) to elevate human-machine interactions in settings laden with tasks. This is achieved through accurate, context-sensitive visual representations, more efficient workflows, and heightened user-friendliness. This proposition forms the foundation for a research journey that transitions from academic constructs to real-world industrial solutions, eventually finding relevance in household settings. The cornerstone of this research lies in the meticulous enhancement and fine-tuning of OST-AR for handling complex, attention-demanding tasks in real-world scenarios. This effort ensures that both system architects and end-users engage in unified, intuitive interactions, whether they are designing or interfacing with sophisticated equipment, systems, or processes in dynamic situations. This progression not only accentuates OST-AR’s accessibility but also paves the way for its expanded relevance across multiple sectors.

Name dc:type.qualificationname

Doctor of Philosophy (PhD)

Level dc:type.qualificationlevel

Doctoral

Grantor dc:publisher.institution

University of Cambridge

Year dc:date.issued

2023

Author dc:creator

• Kang, Bo

Advisor dc:contributor.advisor

• Kristensson, Per

• Augmented Reality
• Dynamic Environment
• Task Support

Licence

• https://apollo8-f-pro.lib.cam.ac.uk/bitstreams/3d57ce71-dcd4-4f4f-9689-cfd3a8ab2cb2/download
• https://www.rioxx.net/licenses/all-rights-reserved/

Language dc:language

eng

DOI dc:identifier.doi

https://doi.org/10.17863/CAM.105935

OAI identifier oai:identifier

oai:www.repository.cam.ac.uk:1810/364166