Abstract: 

There are decisions neither humans nor computers can make alone. Computer-supported visualizations are a powerful decision-making tool when we need to reason based on complex data. This workshop focuses on how we can achieve an effective visual data analysis. First, we visualize data based on the capabilities of human vision: which visual mappings for which data and tasks. Second, we visualize data based on the capabilities of the human brain: how much information we can actually process and how cognitive biases can sneak into the process.

Bio: 

Evanthia Dimara is a postdoctoral research scientist at the Institute for Intelligent Systems and Robotics (ISIR) Laboratory (HCI group) of Sorbonne University. Her fields of research are human-computer interaction and information visualization. Her focus is on decision making -- how to help people make unbiased and informed decisions alone or in groups.