Research shows that user traits can modulate the use of visualization systems and have a
measurable influence on users' accuracy, speed, and attention when performing visual …

This work presents the design and analysis of an Adaptive User Interface (AUI) for a desktop
application that uses a novel solution for the recognition of the emotional state of a user …

Language models (LMs) show promise as tools for communicating science to the general
public by simplifying and summarizing complex language. Because models can be …

This work presents the design and analysis of an Automatic adaptive user interface (AUI)
that uses a novel solution for the recognition of the emotional state of a user through both …

We propose here to highlight the benefits of building a framework linking Kansei Design
(KD), User Centered Design (UCD) and Eco-design as the correlation between these fields …

Graphical perception studies typically measure visualization encoding effectiveness using
the error of an “average observer”, leading to canonical rankings of encodings for numerical …

In this paper, we present the design and implementation of a distributed sensor network
application for embedded, isolated-word, real-time speech recognition. In our system …

Data is often presented in the form of graphical visualizations rather than as raw data, with
encodings frequently chosen to optimize for accuracy of interpretation by the audience …

Understanding diversity is important in our inclusive society to hedge against ignorance and
accommodate plural perspectives. Diversity nowadays can be observed in online social …

One of our most powerful language capabilities is our ability to adapt written and spoken
language use to different audiences (sometimes referred to as audience design or linguistic …