Publication: Designing for data sensemaking practices: a complex challenge
Program
KU-Authors
KU Authors
Co-Authors
Karahanoǧlu, Armaǧan
Publication Date
Language
Type
Embargo Status
Journal Title
Journal ISSN
Volume Title
Alternative Title
Abstract
The framework we presented here is a way to explain how self-trackers make sense of their data, translating them from numbers into meaningful insights. Understanding the data sensemaking process, however, is only the first step in designing for data sensemaking. Developing a new generation of tools that support individuals’ sensemaking practices is a significant challenge.
Source
Publisher
Association for Computing Machinery
Subject
Computer science, Information systems
Citation
Has Part
Source
Interactions (N.Y.)
Book Series Title
Edition
DOI
10.1145/3664630