Perez Messina, I. B., Ceneda, D., & Miksch, S. (2023). A Methodology for Task-Driven Guidance Design. In M. Angelini & M. El-Assady (Eds.), EuroVA 2023 : EuroVis Workshop on Visual Analytics (pp. 37–42). The Eurographics Association. https://doi.org/10.2312/eurova.20231094
E193 - Institut für Visual Computing and Human-Centered Technology E193-07 - Forschungsbereich Visual Analytics
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Published in:
EuroVA 2023 : EuroVis Workshop on Visual Analytics
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ISBN:
978-3-03868-222-6
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Date (published):
2023
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Event name:
EuroVis Workshop on Visual Analytics (EuroVA)
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Event date:
12-Jun-2023 - 16-Jun-2023
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Event place:
Leipzig, Germany
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Number of Pages:
6
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Publisher:
The Eurographics Association
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Peer reviewed:
Yes
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Keywords:
Guidance; Visual Analytics; Mixed-initative
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Abstract:
Mixed-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 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 unevenly-spaced time-oriented data. Our methodology is particularly beneficial for enriching existing VA systems with guidance, being its output a structured description of a complex guidance task schema.
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Project title:
Domain-adaptive Remote sensing Image Analysis with Human-in-the-loop: 880883 (FFG - Österr. Forschungsförderungs- gesellschaft mbH) Guidance-Enriched Visual Analytics for Temporal Data: ICT19-47 (WWTF Wiener Wissenschafts-, Forschu und Technologiefonds) Wissensunterstützte Visual Analytics: P 31419-N31 (FWF Fonds zur Förderung der wissenschaftlichen Forschung (FWF))