Integrative visual augmentation content and its optimization based on human visual processing

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Dokumentart: Dissertation
Date: 2023-01-18
Language: English
Faculty: 7 Mathematisch-Naturwissenschaftliche Fakultät
Department: Informatik
Advisor: Wahl, Siegfried (Prof. Dr.)
Day of Oral Examination: 2022-12-16
DDC Classifikation: 004 - Data processing and computer science
Other Keywords:
Augmented Reality
Virtual Reality
Human Visual Processing
License: Publishing license including print on demand
Order a printed copy: Print-on-Demand
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In many daily visual tasks, our brain is remarkably good at prioritizing visual information. Nonetheless, it is undoubtedly not always capable of performing optimally, and all the more so in the ever-evolving demanding world. Supplementary visual guidance could enrich our lives from many perspectives on the individual and population scales. Through rapid technological advancements such as VR and AR systems, diverse visual cues demonstrate a powerful potential to deliberately guide attention and improve users’ performance in daily tasks. Currently, existing solutions are confronting the challenge of overloading and overruling the natural strategy of the user with excessive visual information once digital content is superimposed on the real-world environment. The subtle nature of augmentation content, which considers human visual processing factors, is an essential milestone towards developing adaptive, supportive, and not overwhelming AR systems. The focus of the present thesis was, thus, to investigate how the manipulation of spatial and temporal properties of visual cues affects human performance. Based on the findings of three studies published in peer-reviewed journals, I consider various everyday challenging settings and propose perceptually optimal augmentation solutions. I furthermore discuss possible extensions of the present work and recommendations for future research in this exciting field.

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