The elements of graphing data
Making the abstraction hierarchy concrete
International Journal of Human-Computer Studies
The cognitive walkthrough method: a practitioner's guide
Usability inspection methods
Cognitive Work Analysis: Towards Safe, Productive, and Healthy Computer-Based Work
Cognitive Work Analysis: Towards Safe, Productive, and Healthy Computer-Based Work
Extending Cognitive Work Analysis to Manufacturing Scheduling
OZCHI '98 Proceedings of the Australasian Conference on Computer Human Interaction
The structure of the information visualization design space
INFOVIS '97 Proceedings of the 1997 IEEE Symposium on Information Visualization (InfoVis '97)
Semiology of graphics
Scale transformations and information presentation in supervisory control
International Journal of Human-Computer Studies
Adapting the ADS for high volume manufacturing
INTERACT'05 Proceedings of the 2005 IFIP TC13 international conference on Human-Computer Interaction
Ecological interface design and sensor noise
International Journal of Human-Computer Studies
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Identifying information requirements is a well-understood activity, but the practice of converting data into visual form based on these requirements is less defined. The Ecological Interface Design (EID) framework attempts to bridge this design gap by offering a set of visual design principles. While these principles supply high-level goals to be achieved by the display, they do not describe the design process per se. EID case studies tend to report the work domain analysis, the design solution and the relationship between these two artefacts. Unfortunately, the presentation of a final solution does not reveal the rationale for decisions made during the design process. This, coupled with the complexity of the systems involved, can make it difficult to transfer design knowledge to other work domains. Here a methodology is proposed to guide the design of visual interface components that make up an ecological display. A structured approach for matching requirements to visual form based on work domain analysis, task analysis, scale matching, and data transformations is presented. A case study reveals the rationale behind the redesign of a process control health reporting system using this methodology.