PhD candidate studying HRI
University of Wisconsin–Madison
stegner [at] wisc [dot] edu
I am a PhD Candidate at the University of Wisconsin–Madison in the People and Robots Laboratory researching Human-Robot Interaction with a focus on healthcare contexts. My research goal is to design, build, and evaluate intelligent systems that can support complex tasks in everyday environments. I take an interdisciplinary approach to my work, utilizing qualitative, quantitative, and technical approaches from across computer science, engineering, social science, nursing, and design disciplines. I publish my work at HRI and HCI (CHI, DIS) venues.
Before grad school, I earned my Bachelor of Science in Electrical Engineering from the University of Cincinnati in 2019. Part of our degree program included five co-operative education experiences, exposing me to a variety of industry and research positions.
In the summers of 2018 and 2019, I worked as an intern at the Max Planck Institute for Software Systems in Germany, supervised by Aman Mathur and Dr. Rupak Majumdar. We developed Paracosm, a test framework for autonomous driving simulations, published at FASE 2021.
I am seeking tenure-track faculty positions, post-doctoral fellowships, and other full-time researcher opportunities!
Please refer to my Google Scholar profile for an up-to-date list of all of my publications.
The combination of a rapidly aging population and growing shortage of caregivers had led to the rise in interest for assistive robots to help care for older adults and other vulnerable populations. This work seeks to understand how care robots can integrate into existing caregiving ecosystems. By understanding the needs and challenges of the end users, we can design, implement, and deploy more robust systems that have real-world use and validity.
As robots become more commonly used in everyday scenarios, a wide range of individuals will need appropriate tools to easily and efficiently create programs that specify what their robot should do or how it should behave. This work seeks to make programming human robot interactions more natural for non-roboticists by employing programming language techniques, such as program synthesis, to translate multimodal user input into a full robot program.