65 citations · 89 across the 7 of their papers we have counts for
7 papers
Using Causal Trees to Estimate Personalized Task Difficulty in Post-Stroke Individuals
Nathaniel Dennler, Stefanos Nikolaidis, Maja Matarić
Adaptive training programs are crucial for recovery post stroke. However, developing programs that automatically adapt depends on quantifying how difficult a task is for a specific…
Singing the Body Electric: The Impact of Robot Embodiment on User Expectations
Nathaniel Dennler, Stefanos Nikolaidis, Maja Matarić
Users develop mental models of robots to conceptualize what kind of interactions they can have with those robots. The conceptualizations are often formed before interactions with t…
A metric for characterizing the arm nonuse workspace in poststroke individuals using a robot arm
Nathaniel Dennler, Amelia Cain, Erica De Guzman +4
An over-reliance on the less-affected limb for functional tasks at the expense of the paretic limb and in spite of recovered capacity is an often-observed phenomenon in survivors o…
Evaluating and Personalizing User-Perceived Quality of Text-to-Speech Voices for Delivering Mindfulness Meditation with Different Physical Embodiments
Zhonghao Shi, Han Chen, Anna-Maria Velentza +4
Mindfulness-based therapies have been shown to be effective in improving mental health, and technology-based methods have the potential to expand the accessibility of these therapi…
The RoSiD Tool: Empowering Users to Design Multimodal Signals for Human-Robot Collaboration
Nathaniel Dennler, David Delgado, Daniel Zeng +2
Robots that cooperate with humans must be effective at communicating with them. However, people have varied preferences for communication based on many contextual factors, such as…
pyribs: A Bare-Bones Python Library for Quality Diversity Optimization
Bryon Tjanaka, Matthew C. Fontaine, David H. Lee +6
Recent years have seen a rise in the popularity of quality diversity (QD) optimization, a branch of optimization that seeks to find a collection of diverse, high-performing solutio…