Pérez-Messina, IgnacioCeneda, DavideMiksch, SilviaAngelini, MarcoEl-Assady, Mennatallah2023-06-102023-06-102023978-3-03868-222-62664-4487https://doi.org/10.2312/eurova.20231094https://diglib.eg.org:443/handle/10.2312/eurova20231094Mixed-initiative Visual Analytics (VA) systems are becoming increasingly important; however, the design of such systems still needs to be formulated. We present a methodology to aid and structure the design of guidance for mixed-initiative VA systems consisting of four steps: (1) defining the target of analysis, (2) identifying the user search tasks, (3) describing the system guidance tasks, and (4) specifying which and when guidance is provided. In summary, it specifies a space of possible user tasks and then maps it to the corresponding space of guidance tasks, using recent VA task typologies for guidance and visualizations. We illustrate these steps through a case study in a real-world model-building task involving decision-making with unevenlyspaced time-oriented data. Our methodology's goal is to enrich existing VA systems with guidance, being its output a structured description of a complex guidance task schema.Attribution 4.0 International LicenseCCS Concepts: Human-centered computing -> Visualization design and evaluation methods; Visualization theory, concepts and paradigmsHuman centered computingVisualization design and evaluation methodsVisualization theoryconcepts and paradigms10.2312/eurova.2023109437-426 pages