A Survey on Evaluation Practices of Immersive Visualization for Abstract 3D Data

PhD Qualifying Examination


Title: "A Survey on Evaluation Practices of Immersive Visualization for 
Abstract 3D Data"

by

Miss Qian ZHU


Abstract:

Data visualization plays a critical role in improving people's ability to 
understand and analyze complex data. When analyzing data, the devices used 
to display and interact with data visualization significantly affect user 
experience, engagement, and efficiency. Immersive technology has rapidly 
developed and brought high-quality VR/AR head-mounted displays (HMDs) to 
ordinary people. A growing body of research work has investigated the 
advantages of immersive HMDs for data exploration and analysis, including 
abstract 3D data. Typically, they empirically studied to explore the 
benefits of immersive visualization in specific scenarios.

However, the general guidelines for conducting such user experiments in 
immersive environments with HMDs are unclear. The general benefit of 
applying immersive technology to understand and analyze abstract 3D data 
remains controversial. This makes it difficult to compare and generalize 
the study findings of different works.

To further explore these problems, we collected and reviewed papers on 
immersive VR/AR HMDs to analyze abstract 3D data over the past 20 years. 
We summarize the evaluation practices and potential benefits of applying 
immersive HMDs for 3D abstract data. Finally, we provide the lessons 
learned based on these empirical studies, offering ideas for a more 
rigorous analysis, and further discussing the opportunities to improve the 
evaluation from a user experience-centric perspective.


Date:			Wednesday, 27 April 2022

Time:                  	2:00pm - 4:00pm

Zoom Meeting: https://hkust.zoom.us/j/98453109616

Committee Members:	Dr. Xiaojuan Ma (Supervisor)
 			Dr. Dan Xu (Chairperson)
 			Prof. Huamin Qu
 			Dr. Wei ZENG (DSA Thrust)


**** ALL are Welcome ****