Molecular dynamics (MD) simulations monitor time-resolved motions of macromolecules.
While visualization of MD trajectories allows an instant and intuitive understanding of …

With the ever-increasing amount of data, the world has stepped into the era of “Big Data”.
Presently, the analysis of massive and complex data and the extraction of relevant …

We investigated the effects of example-based explanations for a machine learning classifier
on end users' appropriate trust. We explored the effects of spatial layout and visual …

Abstract Domain-specific intelligent systems are meant to help system users in their decision-
making process. Many systems aim to simultaneously support different users with varying …

Visual analytics systems integrate interactive visualizations and machine learning to enable
expert users to solve complex analysis tasks. Applications combine techniques from various …

It has been widely suggested that a key goal of visualization systems is to assist decision
making, but is this true? We conduct a critical investigation on whether the activity of …

Human-in-the-loop data analysis applications necessitate greater transparency in machine
learning models for experts to understand and trust their decisions. To this end, we propose …

Appropriate trust is an important component of the interaction between people and AI
systems, in that “inappropriate” trust can cause disuse, misuse, or abuse of AI. To foster …

When breakdowns occur during a human-chatbot conversation, the lack of transparency and
the “black-box” nature of task-oriented chatbots can make it difficult for end users to …

Trust is an important factor that mediates whether a user will rely and build on the
information displayed in a visualization. Research in other fields shows that there are …