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Virginia Tech

Visual Imprints: Understanding Location Data Through Information Architecture

Abstract

dc:description.abstract

Wearable technologies are creating new ways for people to discover and record personal data. While these devices are raising awareness about biometric information, there is a larger quantified self movement encompassing any type of personal data collected by any means and recorded and shared in a variety of ways. Participants in this movement are experimenting with new ways to view and interact with their generated digital information. On a societal level, as we collect more data (personal or otherwise) we are questioning who should have access to different types of data and how collected data should be used. Visual Imprints documents an exploration into how location data is collected, visualized, and understood by people with varying degrees of data literacy. Through the design and development of the Android application Data Atlas, this exploration utilizes aspects of information architecture to illustrate how we as a society might come to better understand what technologies and applications record personal data and how collected information can be seen and used. The exploration also illustrates how creative technologists can contribute to societal questions on data literacy and user privacy as well as create work as a part of the quantified self movement.

Degree

thesis:*
Name thesis:degree_name
Master of Fine Arts
Level thesis:degree_level
masters
Discipline thesis:degree_discipline
Creative Technologies
Department dc:contributor.department
Art and Art History
Grantor dc:publisher
Virginia Tech
Year dc:date.issued
2015

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Lidwin, Christina Marie
Chair dc:contributor.committeechair
  • Dee, Meaghan A.
Committee members dc:contributor.committeemember
  • Webster, Dane
  • Abel, Troy D.

Subjects

dc:subject × 5

Rights

dc:rights
Statement dc:rights
  • In Copyright

Identifiers

dc:identifier.*
Dc Identifier Other
vt_gsexam:6248
OAI identifier oai:identifier
oai:vtechworks.lib.vt.edu:10919/56560

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

Lidwin, Christina Marie. Visual Imprints: Understanding Location Data Through Information Architecture. masters thesis, Virginia Tech, 2015. http://hdl.handle.net/10919/56560