Evaluating Replay Techniques for Asynchronous Task Handover in Immersive Analytics
Zhengtai Gou, Junxiao Long, Tao Lu, Jian Zhao, Yalong Yang

TL;DR
This study evaluates replay techniques for asynchronous task handover in immersive analytics, comparing PC and VR platforms to improve understanding of complex data analysis workflows.
Contribution
It introduces a systematic investigation of replay configurations in immersive environments, revealing platform-dependent preferences and demonstrating VR's advantages for workflow comprehension.
Findings
VR replays improve task comprehension significantly.
Platform-dependent preferences for replay perspectives.
Development of a hybrid 1PP+3PP replay format for PC.
Abstract
Immersive analytics enables collaborative data analysis in shared virtual spaces. While synchronous collaboration in such environments is well-established, real-world analysis often requires an effective task handover - the transfer of knowledge and analytical context between analysts working asynchronously. Traditional handover methods often rely on static annotations that fail to capture the dynamic problem-solving process and spatial context inherent in immersive workflows. To address this handover challenge, we explore session replay as a comprehensive approach for analysts to re-experience a predecessor's work, facilitating a deeper understanding of both the visual details and the insight formation process. Two phases of studies were conducted to establish design guidelines for such replay systems by investigating the impact of viewing platform (PC vs. VR), perspective…
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Taxonomy
TopicsVirtual Reality Applications and Impacts · Data Visualization and Analytics · Interactive and Immersive Displays
