From 2D Document Interactions into Immersive Information Experience: An Example-Based Design by Augmenting Content, Spatializing Placement, Enriching Long-Term Interactions, and Simplifying Content Creations
Chen Chen

TL;DR
This research explores transforming traditional 2D document interactions into immersive experiences using VR, MR, voice assistants, and AI, to enhance understanding, interaction, and creation of complex documents.
Contribution
It introduces a comprehensive approach combining multiple emergent technologies to enhance 2D document interaction and creation in immersive environments.
Findings
Enhanced understanding of medical scans and reference images in immersive settings
Improved interaction with instruction documents through spatialization and voice support
Simplified document creation using generative AI techniques
Abstract
Documents serve as a crucial and indispensable medium for everyday workplace tasks. However, understanding, interacting and creating such documents on today's planar interfaces without any intelligent support are challenging due to our natural cognitive constraints on remembering, processing, understanding and interacting with these information. My doctorate research investigates how to bring 2D document interactions into immersive information experience using multiple of today's emergent technologies. With the examples of four specific types of documents -- medical scans, instruction document, self-report diary survey, and reference images for visual artists -- my research demonstrates how to transform such of today's 2D document interactions into an immersive information experience, by augmenting content with virtual reality, spatializing document placements with mixed reality,…
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Taxonomy
TopicsSemantic Web and Ontologies · Digital Humanities and Scholarship · Web Data Mining and Analysis
