Speaker: Alvitta Ottley (Washington University in St. Louis)
Bio
I am an Associate Professor in the Computer Science & Engineering Department at Washington University in St. Louis, Missouri, USA. I am also the director of the Visual Interface and Behavior Exploration (VIBE) Lab and hold a courtesy appointment in the Psychological and Brain Sciences Department. My research uses interdisciplinary approaches to solve problems such as how best to display information for effective decision-making and how to design human-in-the-loop visual analytics interfaces that are more attuned to how people think. I am deeply honored to have received the NSF CRII Award in 2018 for using visualization to support medical decision-making, the NSF Career Award in 2022 for creating context-aware visual analytics systems, and the 2022 EuroVis Early Career Award. My work has also appeared in leading conferences and journals such as CHI, VIS, and TVCG, where it has received the best paper and honorable mention awards. Supervised by Dr. Remco Chang, I received my Master’s and Ph.D. in Computer Science from Tufts University in 2013 and 2016, respectively. I completed my Bachelor’s in Computer Science from the State University of New York at Plattsburgh in 2010.
Abstract
In this talk, we examine how human factors shape trust across three interconnected levels of visualization design: the source (e.g., news, government, or scientific institutions), the representation (clarity, accuracy, and perceived intent), and the system (AI-enhanced visualization tools). Drawing on empirical studies of visualization trustworthiness and human-AI teaming in exploratory visual analytics, we discuss pathways toward designing both trustworthy representations and trustworthy systems. We also consider the growing risks of over-reliance on AI in visualization and highlight emerging opportunities to measure, model, and guide trust behavior in more transparent and collaborative ways.
