Prioritize data integration as a user task. Developing visualizations that support fieldwork-driven research allowed us to solve interesting constraints before and during expeditions, including limited computational resources and reconciling existing data collections with data collected during expeditions.
Even though we prioritized predictive capabilities and uncertainty visualizations in DeepSee to address these constraints, we unexpectedly discovered that not designing for data integration support as a user task limited the ability for experts to adaptably update hypotheses and make tactical decisions in the field.
It was difficult to track data being added on the fly, as P5 described the challenge they encountered during deployment of translating a mental decision-making process into using DeepSee.
You might need to change your hypothesis and your methodology on the fly. These challenges often happen with the lab advisor in their head making big decisions... it was hard to incorporate DeepSee into the decision-making process, especially when it's in the lab advisor's head.
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