Cardiogram: Visual Analytics for Automotive Engineers

Abstract : We present Cardiogram, a visual analytics system that supports automotive engineers in debugging masses of traces each consisting of millions of recorded messages from in-car communication networks. With their increasing complexity, ensuring these safety-critical networks to be error-free has become a major task and challenge for automotive engineers. To overcome shortcomings of current analysis tools, Cardiogram combines visualization techniques with a data preprocessing approach to automatically reduce complexity based on engineers' domain knowledge. In this paper, we provide the findings from an exploratory, three-year field study within a large automotive company, studying current practices of engineers, the challenges they meet and the characteristics for integrating novel visual analytics tools into their work practices. We then introduce Cardiogram, discuss how our field analysis influenced our design decisions, and present a qualitative, long-term, in-depth evaluation. Results of this study showed that our participants successfully used Cardiogram to increase the amount of analyzable information, to externalize domain knowledge, and to provide new insights into trace data. Our design approach finally led to the adoption of Cardiogram into engineers' daily practices.
Document type :
Conference papers
Complete list of metadatas

Cited literature [36 references]  Display  Hide  Download


https://hal.inria.fr/inria-00638544
Contributor : Petra Isenberg <>
Submitted on : Saturday, November 5, 2011 - 5:00:16 PM
Last modification on : Thursday, February 7, 2019 - 2:49:11 PM
Long-term archiving on : Thursday, November 15, 2012 - 11:11:55 AM

Files

Sedlmair_2011_CAV.pdf
Files produced by the author(s)

Identifiers

Collections

Citation

Michael Sedlmair, Petra Isenberg, Dominikus Baur, Michael Mauerer, Christian Pigorsch, et al.. Cardiogram: Visual Analytics for Automotive Engineers. Conference on Human Factors in Computing Systems (CHI), May 2011, Vancouver, Canada. pp.1727--1736, ⟨10.1145/1978942.1979194⟩. ⟨inria-00638544⟩

Share

Metrics

Record views

254

Files downloads

396