F&M CARES

Affiliations. Address. Contacts. Moto. Etc.

willie.jpg

555 your office number

123 your address street

Your City, State 12345

Jason ‘‘Willie’’ Wilson is an Assistant Professor in the Computer Science Department at Franklin & Marshall College, a small liberal arts college in central Pennsylvania, where he leads the F&M CARES Lab. He completed a Joint-Ph.D. in Computer Science and Cognitive Science from Tufts University and was a postdoctoral associate in the Computer Science Department at Northwestern University. His research goal is to ensure that robots behave in a manner that protects the humanity and dignity of individuals, particularly vulnerable populations who are most at risk of harm. Towards this goal, his interdisciplinary research focuses on how a robot’s social behavior and reasoning can foster a healthy and effective interaction. His recent publications include work on interpreting user social signals to understand how much help a user needs, recognizing the goals of a user, and generating a social robot’s assistive behaviors. He is also the recipient of the Best Paper Award at the 2023 AI-HRI Symposium. Willie was a HRI Pioneer in 2016 in Christchurch, New Zealand, and he is one of the lead organizers of the inaugural TAHRI symposium.

news

Jan 15, 2016 A simple inline announcement with Markdown emoji! :sparkles: :smile:
Nov 07, 2015 A long announcement with details
Oct 22, 2015 A simple inline announcement.

latest posts

May 07, 2024 Hiring Grad Student
May 01, 2024 CAREER Award
Mar 22, 2024 Introducing the New CARES Website

selected publications

  1. HRI Curriculum for a Liberal Arts Education
    Jason R. Wilson, and Emily Jensen
    In Proceedings of the HRI 101 Workshop: Designing an Intro to HRI Course , 2024
  2. misty_gen_beh.png
    Towards An Ontology for Generating Behaviors for Socially Assistive Robots Helping Young Children
    Tracy Yang , Allison Langer , Lauren Howard , and 2 more authors
    In Proceedings of the AAAI Fall Symposium on Artificial Intelligence for Human-Robot Interaction , 2023
    Best Paper Award