80 citations · 92 across the 6 of their papers we have counts for
5 papers · 1 filter
How Do We Measure Trust in Visual Data Communication?
Hamza Elhamdadi, Aimen Gaba, Yea-Seul Kim +1
Trust is fundamental to effective visual data communication between the visualization designer and the reader. Although personal experience and preference influence readers' trust…
Seeing What You Believe or Believing What You See? Belief Biases Correlation Estimation
Cindy Xiong, Chase Stokes, Yea-Seul Kim +1
When an analyst or scientist has a belief about how the world works, their thinking can be biased in favor of that belief. Therefore, one bedrock principle of science is to minimiz…
Communicating Visualizations without Visuals: Investigation of Visualization Alternative Text for People with Visual Impairments
Crescentia Jung, Shubham Mehta, Atharva Kulkarni +2
Alternative text is critical in communicating graphics to people who are blind or have low vision. Especially for graphics that contain rich information, such as visualizations, po…
Bayesian-Assisted Inference from Visualized Data
Yea-Seul Kim, Paula Kayongo, Madeleine Grunde-McLaughlin +1
A Bayesian view of data interpretation suggests that a visualization user should update their existing beliefs about a parameter's value in accordance with the amount of informatio…
A Bayesian Cognition Approach to Improve Data Visualization
Yea-Seul Kim, Logan A Walls, Peter Krafft +1
People naturally bring their prior beliefs to bear on how they interpret the new information, yet few formal models exist for accounting for the influence of users' prior beliefs i…