VizScribe: A visual analytics approach to understand designer behavior

Senthil Chandrasegaran*, Sriram Karthik Badam, Lorraine Kisselburgh, Kylie Peppler, Niklas Elmqvist, Karthik Ramani

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

13 Citations (Scopus)

Abstract

Design protocol analysis is a technique to understand designers’ cognitive processes by analyzing sequences of observations on their behavior. These observations typically use audio, video, and transcript data in order to gain insights into the designer's behavior and the design process. The recent availability of sophisticated sensing technology has made such data highly multimodal, requiring more flexible protocol analysis tools. To address this need, we present VizScribe, a visual analytics framework that employs multiple coordinated multiple views that enable the viewing of such data from different perspectives. VizScribe allows designers to create, customize, and extend interactive visualizations for design protocol data such as video, transcripts, sketches, sensor data, and user logs. User studies where design researchers used VizScribe for protocol analysis indicated that the linked views and interactive navigation offered by VizScribe afforded the researchers multiple, useful ways to approach and interpret such multimodal data.

Original languageEnglish
Pages (from-to)66-80
Number of pages15
JournalInternational Journal of Human Computer Studies
Volume100
DOIs
Publication statusPublished - 2017
Externally publishedYes

Keywords

  • Design behavior
  • Design research
  • Human-computer interaction
  • Information visualization
  • Protocol analysis
  • Visual analytics

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