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Virginia Tech

Immersive Space to Think: the Role of 3D Immersive Space in Sensemaking of Textual Data

Abstract

dc:description.abstract

Sensemaking of large textual information is a cognitively intensive task. Prior work has shown the value of large 2D high-resolution-display spaces in supporting the sensemaking process, by providing a "Space to Think" in which analysts can organize information and externalize their thought process. In this paper, we investigate how analysts use 3D immersive spaces for the same task. To this end, we conducted a user study where participants were asked to solve an intelligence analysis task using an Immersive Space to Think (IST) in a 3D virtual environment using an HMD. The study results show that the concepts of Space to Think extend naturally to 3D immersive space and that the 3D space offers some additional opportunities. With immersive space, analysts i) organized in a surrounding virtual sphere, ii) exploited the depth dimension for encoding relevance, and iii) traded-off between physical navigation and occlusion.

Degree

thesis:*
Name thesis:degree_name
Master of Science
Level thesis:degree_level
masters
Discipline thesis:degree_discipline
Computer Science and Applications
Department dc:contributor.department
Computer Science
Grantor dc:publisher
Virginia Tech
Year dc:date.issued
2020

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Bandyopadhyay, Payel
Chair dc:contributor.committeechair
  • North, Christopher L.
Committee members dc:contributor.committeemember
  • Polys, Nicholas F.
  • Bowman, Douglas A.

Subjects

dc:subject × 5

Rights

dc:rights
Statement dc:rights
  • In Copyright

Identifiers

dc:identifier.*
Dc Identifier Other
vt_gsexam:27069
OAI identifier oai:identifier
oai:vtechworks.lib.vt.edu:10919/108232

Chain of custody

source
Harvested from
Virginia Tech
Base URL
vtechworks.lib.vt.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Bandyopadhyay, Payel. Immersive Space to Think: the Role of 3D Immersive Space in Sensemaking of Textual Data. masters thesis, Virginia Tech, 2020. http://hdl.handle.net/10919/108232