A Research Agenda for Managing Uncertainty in Visual Analytics

Karsten Seipp, Xavier Ochoa, Francisco Gutiérrez, Katrien Verbert

Research output: Contribution to journalConference articlepeer-review


This paper proposes a research agenda to tackle the challenges of uncertainty in Visual Analytics. We propose a four-pronged strategy that addresses the need of both entities involved, human and computer. It comprises the communication of uncertainty in data and model, the communication of uncertainty regarding user intent and knowledge, human to human information interchange, as well as the definition of suitable, interactive means for conducting this dialogue with precision and ease.

ASJC Scopus subject areas

  • Computer Science Applications


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