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Towards Design Principles for Visual Analytics in Operations Contexts

Conlen, Matthew and Stalla, Sara and Jin, Chelly and Hendrie, Maggie and Mushkin, Hillary and Lombeyda, Santiago and Davidoff, Scott (2018) Towards Design Principles for Visual Analytics in Operations Contexts. In: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems - CHI '18. ACM , New York, NY, Art. No. 138. ISBN 978-1-4503-5620-6.

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Operations engineering teams interact with complex data systems to make technical decisions that ensure the operational efficacy of their missions. To support these decision-making tasks, which may require elastic prioritization of goals dependent on changing conditions, custom analytics tools are often developed. We were asked to develop such a tool by a team at the NASA Jet Propulsion Laboratory, where rover telecom operators make decisions based on models predicting how much data rovers can transfer from the surface of Mars. Through research, design, implementation, and informal evaluation of our new tool, we developed principles to inform the design of visual analytics systems in operations contexts. We offer these principles as a step towards understanding the complex task of designing these systems. The principles we present are applicable to designers and developers tasked with building analytics systems in domains that face complex operations challenges such as scheduling, routing, and logistics.

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Additional Information:© 2018 Copyright held by the owner/author(s). Publication rights licensed to ACM. Special thanks are due to Victoria Scarffe-Barrett and her colleagues on the MER Operations team for insight and feedback on various iterations of the Meridian prototype. We would also like to thank Fred Hohman and Beatrice Jin for their valuable discussions about this research. The development of Meridian was enabled by the JPL/Caltech/ArtCenter data visualization program; this support is gratefully acknowledged.
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Subject Keywords:operations; theory; design principles; design research methods; qualitative methods; visual design; visualization; contextual inquiry; information seeking & search
Classification Code:ACM Classification Keywords H.5.m. Information Interfaces and Presentation (e.g. HCI): Miscellaneous
Record Number:CaltechAUTHORS:20180425-165416311
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Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:86053
Deposited By: George Porter
Deposited On:26 Apr 2018 18:42
Last Modified:03 Oct 2019 19:39

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