The HAII Center develops and uses AI technology for improving the long-term autonomy and interaction capabilities of future AI systems, embodied and disembodied, that are embedded in human societies such as virtual agents based on foundation models (e.g., personal cognitive assistants on smart devices, advisor systems, large generative AI language models like ChatGTP, etc.) or assistive robots (e.g., for elder care, search and rescue, surveillance, manufacturing, health monitoring).
The employed technologies encompass various AI approaches (e.g., generative AI for language understanding and common sense, deep neural networks for perception and reinforcement learning, symbolic reasoning for task planning, hybrid methods for natural language understanding, etc.) to control the behavior of fully autonomous virtual and robotic agents and their interactions with humans. Novel methods and technologies are evaluated in human-AI interaction experiments to determine their suitability and utility. Most critically, the HAII Center has a focus on ethical AI and thus aims to establish the norm-confirming nature of all developed technologies.
Matthias Scheutz
Director of the Human-AI Interaction Center
Karol Family Applied Technology Professor
- Professor Usman Khan
- Assistant Professor Reuth Mirsky
- Distinguished Professor Karen Panetta
- John R. Beaver Professor Chris Rogers
- Research Assistant Professor Vasanth Sarathy
- Clare Boothe Luce Assistant Professor Elaine Short
- Associate Professor Jivko Sinapov
- Professor Mai Vu

Join the HAII Center
With the launch of Tufts Institute for Artificial Intelligence, the HAII Center will initially offer three postdoctoral positions with appointments of two years and the possibility to switch to a more advanced research staff position. Research staff and research faculty positions will be offered at a later time, as well more opportunities for senior candidates. Postdocs will contribute to the HAII Center's research mission by joining teams of faculty and staff researchers in developing proposals and performing research of high impact in all areas.
Suitable candidates must demonstrate technical excellence in any area of AI that deals with human interaction through high-impact peer-reviewed publications. Teaching experience is not necessary. Salaries are competitive and commensurate with experience, full benefits are included (health care, pension, commuter, etc.). Start dates can be negotiated. Applications will be reviewed as they arrive.
Publications and Grants
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An Interactive Robot Platform for Introducing Reinforcement Learning to K-12 Students
Z Zhang, S Willner-Giwerc, J Sinapov, J Cross, C Rogers
Robotics in Education: RiE 2021 12, 288-301
Introducing Reinforcement Learning to K-12 Students with Robots and Augmented Reality
Z Zhang, K Lavigne, W Church, J Sinapov, C Rogers
International Conference on Robotics in Education (RiE), 351-365
Introductory Activities for Teaching Robotics with SmartMotors
M Dahal, L Kresin, C Rogers
International Conference on Robotics in Education (RiE), 229-241 -
Large Language Models Know What To Say But Not When To Speak
Muhammad Umair and Vasanth Sarathy and JP de Ruiter
Reasoning Requirements for Indirect Speech Act Interpretation
Vasanth Sarathy, Alexander Tsuetaki, Antonio Roque, Matthias Scheutz
When Exceptions Are the Norm: Exploring the Role of Consent in HRI
Vasanth Sarathy, Thomas Arnold, and Matthias Scheutz
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Introduction to symbolic plan and goal recognition
Mirsky, R., Keren, S., & Geib, C. (2021)
San Rafael, CA, USA: Morgan & Claypool Publishers. (Vol. 16, pp. 1-190)
Recognition and Identification of Intentional Blocking in Social Navigation
Mirsky, R., & Shpiro, E. (2024, March)
Proceedings of the 2024 International Symposium on Technological Advances in Human-Robot Interaction (pp. 101-110)
A penny for your thoughts: The value of communication in ad hoc teamwork.
Mirsky, R., Macke, W., Wang, A., Yedidsion, H., & Stone, P. (2020)
International Joint Conference on Artificial Intelligence.
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Dialogue-Based Task Instructions and Modifications for Industrial Robots
M. Scheutz and B. Oosterveld and J. Peterson and E. Wyss (2024)
Proceedings of ARCI 2024
The Limits of Robot Moderators: Evidence Against Robot Personalization and Participation Equalization in a Building Task
H. Owens, R. M. Aronson, E. Short.
IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), Pasadena, August 2024
TuneNet: One-Shot Residual Tuning for System Identification and Sim-to-Real Robot Task Transfer
A. Allevato, E. Short, M. Pryor, and A. L. Thomaz
Conference on Robot Learning (CORL), Osaka, Japan, 2019 -
A Multi-Robot Architecture Framework for Effective Robot Teammates in Mixed-Initiative Teams
M. Scheutz and B. Oosterveld and J. Peterson and E. Wyss and E. Krause (2024)
Proceedings of Technical Advances in Human-Robot Interaction (THARI'24)
Large Language Models Know What To Say But Not When To Speak
Muhammad Umair and Vasanth Sarathy and JP de Ruiter (2024)
Keeping Humans in the Loop: Teaching via Feedback in Continuous Action Space Environments
I. Sheidlower, A. Moore, E. Short
International Conference on Intelligent Robots and Systems (IROS), Kyoto, October 2022