The HRI community is a global populace consisting of research experts and practitioners from multiple fields and backgrounds. Related fields of study include robotics, human-computer interaction, human factors, linguistics, philosophy, psychology, education, entertainment, medicine, materials, and more.
Program Manager
Defense Advanced Research Projects Agency (DARPA)
Dr. Matthew Marge joined DARPA as a Program Manager to create, execute, and transition programs in artificial intelligence (AI), human-machine interaction, and multi-agent systems. His research interests include computational linguistics, machine learning, and conversational AI. Marge holds a doctorate and Master of Science in computer science – language technologies from Carnegie Mellon University, a Master of Science in artificial intelligence from the University of Edinburgh, and Bachelor of Science degrees in computer science and applied mathematics & statistics from Stony Brook University. He is an adjunct professor of linguistics and computer science at Georgetown University, and author/co-author of over 50 publications.
https://www.darpa.mil/staff/dr-matthew-marge
https://scholar.google.com/citations?user=K931JfEAAAAJ
Assistant Professor of Practice
The University of Texas Austin
Justin Hart is an Assistant Professor of Practice at The University of Texas at Austin where he leads the Living with Robots Laboratory. Dr. Hart’s laboratory focuses on building robots that interact well with people and robots that operate in places designed for people. His research focuses on autonomous, social human-robot interaction and the artificial intelligence technologies that enable the development of interactive service robots, especially as deployed in the home and public spaces.
https://www.linkedin.com/in/justin-w-hart
Electrical Engineer
National Institute of Standards and Technology (NIST)
Shelly Bagchi is an Electrical Engineer at the National Institute of Standards and Technology in Gaithersburg, Maryland. Shelly is the Project Lead for the Digital Twins and Emerging Technology for SMEs Project within the Measurement Science for Manufacturing Robotics Program at NIST. Her research interests are in human-robot interaction, replicability & reproducibility, and augmented reality. Shelly chairs the IEEE Standards Group P3108, Recommended Practice for Human-Robot Interaction Design of Human Subject Studies. She also previously co-taught the introductory Artificial Intelligence class in Georgia Tech’s Online Masters in Computer Science program, a program which has enrolled over 10,000 students.
Computer Scientist
National Institute of Standards and Technology (NIST)
Megan Zimmerman is a Computer Scientist and research scientist in the Manipulation and Mobility Systems group of the Intelligent Systems Division (ISD) at NIST. Zimmerman’s work focuses on Artificial Intelligence, tangible user interfaces, and enabling technologies for Human Robot Interaction(HRI) and robot manipulation. At NIST this work has developed to include benchmark development, metrics evaluation and meta-science analysis for the robotic manipulation and Human Robot Interaction fields. She serves as a contributing member of the Metrics and Evaluation Working Group at the Advanced Robotics for Manufacturing Institute(ARM) and the Artificial Intelligence Metrics and Evaluation (AIME) Group at NIST.
Badge pickup and onsite registration
Remarks by Ross Mead (TAHRI 2024 General Chair)
Guest Remarks by Dan Grollman (HRI 2024 General Chair)
Keynote by Andra Keay (Silicon Valley Robotics)
Chaired by Ross Mead (Semio)
Full Papers
Chaired by Emmanuel Senft (TAHRI 2024 Program Chair)
Single-Channel Robot Ego-Speech Filtering during Human-Robot Interaction
Yue Li, Koen Hindriks, and Florian Kunneman
An Automatic Evaluation Framework for Social Conversations with Robots
Maike Paetzel-Prüsmann, Jill Fain Lehman, Celia Gomez, and James Kennedy
Dancing with Robots at a Science Museum: Coherent Motions Got More People To Dance, Incoherent Sends Weaker Signal
Alexandra Bacula and Heather Knight
Exploring the Impact of Explanation Representation on User Satisfaction in Robot Navigation
Amar Halilovic, Vanchha Chandrayan, and Senka Krivic
Exhibitions by TAHRI Partners
Building Interactions: Speech and Dialog in HRI
Moderated by Ross Mead (Semio)
Casey Kennington (Boise State University)
Cynthia Matuszek (UMBC)
James Kennedy (Disney Research)
Matthias Scheutz (Tufts University)
Lunch at the Center for Community (C4C) Dining Center (map)
Building Bots: Robots for HRI Applications
Moderated by Ross Mead (Semio)
Andres Milioto (Embodied, Inc.)
Gabriel Skantze (KTH / Furhat Robotics)
Ian Bernstein (NewCo)
Mark Yim (University of Pennsylvania)
Full Papers
Chaired by Willie Wilson (TAHRI 2024 Program Chair)
Designing a Tabletop SAR as an Advanced HRI Experimentation Platform
Marc-Antoine Maheux, Dominic Létourneau, Philippe Warren, Adina Panchea, Julie M. Robillard, and François Michaud
A Socially Assistive Robot using Automated Planning in a Paediatric Clinical Setting
Alan Lindsay, Andres Alberto Ramirez Duque, Ron Petrick, and Mary Ellen Foster
A Systematic Approach to Modeling Structured Behavior in Social Robots
Carl Bettosi, Lynne Baillie, Martin K Ross, and Frank Broz
A Multi-Robot Architecture Framework for Effective Robot Teammates in Mixed-Initiative Teams
Matthias Scheutz, Bradley Oosterveld, John R Peterson, Eric Wyss, and Evan Krause
Exhibitions by TAHRI Partners
Building Brains: Cognition and Learning in HRI
Moderated by Daniel Hernández García (Heriot-Watt University)
Bahar Irfan (KTH Royal Institute of Technology)
Carolina Parada (Google DeepMind Robotics)
Daniel Grollman (Plus One Robotics)
Tesca Fitzgerald (Yale University)
Community and Career Fair
Chaired by Ross Mead (TAHRI 2024 General Chair)
Alchemist: LLM-Aided End-User Development of Robot Applications
Ulas Berk Karli, Juo-Tung Chen, Victor Nikhil Antony, and Chien-Ming Huang
IEEE Standards Groups on HRI
Shelly Bagchi, Jeremy Marvel, and Megan Zimmerman
Krang AI
David Goldberg and Abhishek Vispute
Legibility-Aware Learning from Corrections
Anjiabei Wang and Tesca Fitzgerald
New Moon Robot Meditation: Stars Within
Shrirang Patil, Chirag Jain, Luke Sanchez, and Heather Knight
Participatory Design for Explainable Social Robot Navigation
Raj Korpan
Robotics in Interspecies Communication and the Performing Arts
Andrew McGregor, Aaron Blaisdell, Peter Black, Kuan-ju Wu, Solomon Githu, Eoin Jordan, Metalnat Hayes, Cindy Fast, and Rory Ward
Robotics Software Engineer
Benjamin Dossett
Science and Shenanigans at HRI2024
Nils Hagberg
Technology and Techniques for Software Defined Vision
Stephen Okay
The Social Interaction Cloud Software Framework
Koen Hindriks, Kim Baraka, Mike Ligthart, Karen Chiang, Thomas van Orden, and Thomas Wiggers
The Workshop: Dungeons, Neurons, and Dialogues: Social Dynamics and Interaction in Contextual Games
Pablo Barros, Nikhil Churamani, Laura Triglia, and Matthias Kerzel
Theory of Mind in Socially Assistive Robots
Jason R. Wilson
Reception at the UMC Connection
Interactive human-robot games by CU Robotics
March 10th, 2024 08:00 – 21:30 MDT (UTC-7)
Badge pickup and onsite registration
Remarks by Ross Mead (TAHRI 2024 General Chair)
Keynote by Brian Scassellati (Yale University)
Chaired by Reuth Mirsky (TAHRI 2024 Program Chair)
Short Papers
Chaired by Reuth Mirsky (TAHRI 2024 Program Chair)
C-TALC: Stepts Towards Combating Oversegmentation For Real Time Online Action Segmentation
Matthew Kent Myers, Nicholas Wright, Stephen McGough, and Nicholas Martin
Child Speech Recognition in Human-Robot Interaction: Problem Solved
Ruben Janssens, Eva Verhelst, Giulio Antonio Abbo, Qiaoqiao Ren, Maria Jose, and Tony Belpaeme
Development of an AI-powered Robot system for Dementia Caregiver Training
Tyler Morris, Jeremiah David Augustine, Conor Brown, Seungwoo An, Fengpei Yuan, Linda Nichols, Jennifer Martindale Adams, and Xiaopeng Zhao
Do humans retaliate against immoral robots?
Zahra Rezaei Khavas, Monish Reddy Kotturu, Reza Ahmadzadeh, and Paul Robinette
GRIP: A Personalized Gesture Learning System for Robotic Arm Control
Omer Cakici and Kim Baraka
I Have No Mouth, Yet I Must Scream: Towards Situated Robot Acoustics in HRI
Eric Hansen, Ross Mead, and Tom Williams
Preliminary Study of Mixed Reality Interfaces for Collaborative Robot Programming of a Manufacturing Assembly Task Board
Medhavi Kamran, Snehesh Shrestha, Arnav Juneja, Shelly Bagchi, Jeremy Marvel, Megan Zimmerman, and Vinh Nguyen
Say What? - Analyzing the Impact of an Entity-Level Model of Working Memory Forgetting on Referring Expression Generation
Rafael Sousa Silva and Tom Williams
Thrice Upon A Time: Lessons Learned from Robot (Re)^{2}design
Michael Suguitan and Matthew V Law
Exhibitions by TAHRI Partners
Building Software: HRI Software Architectures
Moderated by Ross Mead (Semio)
Casey Kennington (Boise State University)
Matthias Scheutz (Tufts University)
Sean Andrist (Microsoft Research)
Séverin Lemaignan (PAL Robotics)
Lunch at the Center for Community (C4C) Dining Center (map)
Building Applications: HRI Use Cases and Applications
Moderated by Willie Wilson (Franklin & Marshall College)
Andres Milioto (Embodied, Inc.)
Gabriel Skantze (KTH / Furhat Robotics)
James Kennedy (Disney Research)
Tony Belpaeme (Universiteit Gent)
Full Papers
Chaired by Emmanuel Senft (TAHRI 2024 Program Chair)
Recognition and Identification of Intentional Blocking in Social Navigation
Reuth Mirsky and Einav Shpiro
Improved Situational Awareness and Performance with Dynamic Task-Based Overlays for Teleoperation
Emmanuel Akita, Guy Zaidner, and Mitch Pryor
VR Storytelling: Early Explorations of Minimal Social Robots in Virtual Reality
Heather Knight, Chinmay P. Wadgaonkar, Johannes Freischuetz, and Samarendra Hedaoo
Enabling Untrained Users to Shape Real-World Robot Behavior Using an Intuitive Visual Programming Tool in Human-Robot Interaction Scenarios
Michel Weike, Kai Ruske, Reinhard Gerndt, and Tobias Doernbach
Exhibitions by TAHRI Partners
Building Bridges: HRI in Academia, Industry, and the Public Sector
Moderated by Jeremy Marvel (NIST)
Brian Scassellati (Yale University)
Hae Won Park (MIT Media Lab / Amazon Lab126)
Katherine Tsui (Toyota Research Institute)
Laura Hiatt (U.S. Naval Research Laboratory)
Remarks by Ross Mead (TAHRI 2024 General Chair)
Join us at local breweries
Day 1: March 9th, 2024, 9:00 - 21:30
Remarks by Ross Mead (TAHRI 2024 General Chair)
Foreword by Dan Grollman (HRI 2024 General Chair)
Keynote by Andra Keay (Silicon Valley Robotics)
Chaired by Ross Mead (Semio)
Chaired by Emmanuel Senft (TAHRI 2024 Program Chair)
Single-Channel Robot Ego-Speech Filtering during Human-Robot Interaction
Y Li, Koen Hindriks, and Florian Kunneman
An Automatic Evaluation Framework for Social Conversations with Robots
Maike Paetzel-Prüsmann, Jill Fain Lehman, Celia Gomez, and James Kennedy
Dancing with Robots at a Science Museum: Coherent Motions Got More People To Dance, Incoherent Sends Weaker Signal
Alexandra Bacula and Heather Knight
Exploring the Impact of Explanation Representation on User Satisfaction in Robot Navigation
Amar Halilovic, Vanchha Chandrayan, and Senka Krivic
Moderated by Ross Mead (Semio)
Casey Kennington (Boise State University)
Cynthia Matuszek (University of Maryland, Baltimore County)
James Kennedy (Disney Research)
Matthias Scheutz (Tufts University)
Building Bots: Robots for HRI Applications
Moderated by Ross Mead (Semio)
Andres Milioto (Embodied, Inc.)
Chaired by Willie Wilson (TAHRI 2024 Program Chair)
Designing a Tabletop SAR as an Advanced HRI Experimentation Platform
Marc-Antoine Maheux, Dominic Létourneau, Philippe Warren, Adina Panchea, Julie M. Robillard, and François Michaud
A Socially Assistive Robot using Automated Planning in a Paediatric Clinical Setting
Alan Lindsay, Andres Alberto Ramirez Duque, Ron Petrick, and Mary Ellen Foster
A Systematic Approach to Modeling Structured Behavior in Social Robots
Carl Bettosi, Lynne Baillie, Martin K Ross, and Frank Broz
A Multi-Robot Architecture Framework for Effective Robot Teammates in Mixed-Initiative Teams
Matthias Scheutz, Bradley Oosterveld, John R Peterson, Eric Wyss, and Evan Krause
Posters, Exhibitions, and Snacks
Moderated by Daniel Hernández García Heriot-Watt University)
Bahar Irfan (KTH Royal Institute of Technology)
Carolina Parada (Google DeepMind Robotics)
Daniel Grollman (Plus One Robotics)
Tesca Fitzgerald (Yale University)
Remarks by Ross Mead (TAHRI 2024 General Chair)
Remarks by Ross Mead (TAHRI 2024 General Chair)
Day 2: March 10th, 2024, 9:00 - 21:30
Remarks by Ross Mead (TAHRI 2024 General Chair)
Keynote by Brian Scassellati (Yale University)
Chaired by Reuth Mirsky (TAHRI 2024 Program Chair)
Chaired by Reuth Mirsky (TAHRI 2024 Program Chair)
C-TALC: Stepts Towards Combating Oversegmentation For Real Time Online Action Segmentation
Matthew Kent Myers, Nicholas Wright, Stephen McGough, and Nicholas Martin
Child Speech Recognition in Human-Robot Interaction: Problem Solved
Ruben Janssens, Eva Verhelst, Giulio Antonio Abbo, Qiaoqiao Ren, Maria Jose, and Tony BelpaemeMaike Paetzel-Prüsmann, Jill Fain Lehman, Celia Gomez, and James Kennedy
Development of an AI-powered Robot system for Dementia Caregiver Training
Tyler Morris, Jeremiah David Augustine, Conor Brown, Seungwoo An, Fengpei Yuan, Linda Nichols, Jennifer Martindale Adams, and Xiaopeng Zhao
Do humans retaliate against immoral robots?
Zahra Rezaei Khavas, Monish Reddy Kotturu, Reza Ahmadzadeh, and Paul Robinette
GRIP: A Personalized Gesture Learning System for Robotic Arm Control
Omer Cakici and Kim Baraka
I Have No Mouth, Yet I Must Scream: Towards Situated Robot Acoustics in HRI
Eric Hansen, Ross Mead, and Tom Williams
Preliminary Study of Mixed Reality Interfaces for Collaborative Robot Programming of a Manufacturing Assembly Task Board
Medhavi Kamran, Snehesh Shrestha, Arnav Juneja, Shelly Bagchi, Jeremy Marvel, Megan Zimmerman, and Vinh Nguyen
Say What? - Analyzing the Impact of an Entity-Level Model of Working Memory Forgetting on Referring Expression Generation
Rafael Sousa Silva and Tom Williams
Thrice Upon A Time: Lessons Learned from Robot (Re)^{2}design
Michael Suguitan and Matthew V Law
Posters, Exhibitions, and Snacks
Building Software: HRI Software Architectures
Moderated by Ross Mead (Semio)
Casey Kennington (Boise State University)
Matthias Scheutz (Tufts University)
Sean Andrist (Microsoft Research)
Séverin Lemaignan (PAL Robotics)
Moderated by Willie Wilson (Franklin & Marshall College)
Andres Milioto (Embodied, Inc.)
Gabriel Skantze (KTH / Furhat Robotics)
James Kennedy (Disney Research)
Tony Belpaeme (Universiteit Gent)
Chaired by Emmanuel Senft (TAHRI 2024 Program Chair)
Recognition and Identification of Intentional Blocking in Social Navigation
Reuth Mirsky and Einav Shpiro
Improved Situational Awareness and Performance with Dynamic Task-Based Overlays for Teleoperation
Emmanuel Akita, Guy Zaidner, and Mitch Pryor
VR Storytelling: Early Explorations of Minimal Social Robots in Virtual Reality
Heather Knight, Chinmay P. Wadgaonkar, Johannes Freischuetz, and Samarendra Hedaoo
Enabling Untrained Users to Shape Real-World Robot Behavior Using an Intuitive Visual Programming Tool in Human-Robot Interaction Scenarios
Michel Weike, Kai Ruske, Reinhard Gerndt, and Tobias Doernbach
Posters, Exhibitions, and Snacks
Building Bridges: HRI in Academia, Industry, and the Public Sector
Moderated by Jeremy Marvel (NIST)
Brian Scassellati (Yale University)
Hae Won Park (MIT Media Lab / Amazon Lab126)
Katherine Tsui (Toyota Research Institute)
Laura Hiatt (U.S. Naval Research Laboratory)
Remarks by Ross Mead (TAHRI 2024 General Chair)
Remarks by Ross Mead (TAHRI 2024 General Chair)
Program Manager
Defense Advanced Research Projects Agency (DARPA)
Dr. Matthew Marge joined DARPA as a Program Manager to create, execute, and transition programs in artificial intelligence (AI), human-machine interaction, and multi-agent systems. His research interests include computational linguistics, machine learning, and conversational AI. Marge holds a doctorate and Master of Science in computer science – language technologies from Carnegie Mellon University, a Master of Science in artificial intelligence from the University of Edinburgh, and Bachelor of Science degrees in computer science and applied mathematics & statistics from Stony Brook University. He is an adjunct professor of linguistics and computer science at Georgetown University, and author/co-author of over 50 publications.
https://www.darpa.mil/staff/dr-matthew-marge
https://scholar.google.com/citations?user=K931JfEAAAAJ
Senior Researcher
Microsoft Research
Sean Andrist is a senior researcher at Microsoft Research in Redmond, Washington. His research interests involve designing, building, and evaluating AI technologies that enable machines to understand and participate in the “social physics” of human interaction, such as social robots and mixed reality task assistants. He is currently working on the Platform for Situated Intelligence project, an open-source framework designed to accelerate research and development on a broad class of multimodal, integrative-AI applications. Sean received his PhD from the University of Wisconsin-Madison where he primarily researched effective social gaze behaviors in human-robot and human-agent interaction.
Senior Researcher
Microsoft Research
Sean Andrist is a senior researcher at Microsoft Research in Redmond, Washington. His research interests involve designing, building, and evaluating AI technologies that enable machines to understand and participate in the “social physics” of human interaction, such as social robots and mixed reality task assistants. He is currently working on the Platform for Situated Intelligence project, an open-source framework designed to accelerate research and development on a broad class of multimodal, integrative-AI applications. Sean received his PhD from the University of Wisconsin-Madison where he primarily researched effective social gaze behaviors in human-robot and human-agent interaction.
Senior Researcher
Microsoft Research
Sean Andrist is a senior researcher at Microsoft Research in Redmond, Washington. His research interests involve designing, building, and evaluating AI technologies that enable machines to understand and participate in the “social physics” of human interaction, such as social robots and mixed reality task assistants. He is currently working on the Platform for Situated Intelligence project, an open-source framework designed to accelerate research and development on a broad class of multimodal, integrative-AI applications. Sean received his PhD from the University of Wisconsin-Madison where he primarily researched effective social gaze behaviors in human-robot and human-agent interaction.
Senior Researcher
Microsoft Research
Sean Andrist is a senior researcher at Microsoft Research in Redmond, Washington. His research interests involve designing, building, and evaluating AI technologies that enable machines to understand and participate in the “social physics” of human interaction, such as social robots and mixed reality task assistants. He is currently working on the Platform for Situated Intelligence project, an open-source framework designed to accelerate research and development on a broad class of multimodal, integrative-AI applications. Sean received his PhD from the University of Wisconsin-Madison where he primarily researched effective social gaze behaviors in human-robot and human-agent interaction.
Senior Researcher
Microsoft Research
Sean Andrist is a senior researcher at Microsoft Research in Redmond, Washington. His research interests involve designing, building, and evaluating AI technologies that enable machines to understand and participate in the “social physics” of human interaction, such as social robots and mixed reality task assistants. He is currently working on the Platform for Situated Intelligence project, an open-source framework designed to accelerate research and development on a broad class of multimodal, integrative-AI applications. Sean received his PhD from the University of Wisconsin-Madison where he primarily researched effective social gaze behaviors in human-robot and human-agent interaction.
Senior Researcher
Microsoft Research
Sean Andrist is a senior researcher at Microsoft Research in Redmond, Washington. His research interests involve designing, building, and evaluating AI technologies that enable machines to understand and participate in the “social physics” of human interaction, such as social robots and mixed reality task assistants. He is currently working on the Platform for Situated Intelligence project, an open-source framework designed to accelerate research and development on a broad class of multimodal, integrative-AI applications. Sean received his PhD from the University of Wisconsin-Madison where he primarily researched effective social gaze behaviors in human-robot and human-agent interaction.
Senior Researcher
Microsoft Research
Sean Andrist is a senior researcher at Microsoft Research in Redmond, Washington. His research interests involve designing, building, and evaluating AI technologies that enable machines to understand and participate in the “social physics” of human interaction, such as social robots and mixed reality task assistants. He is currently working on the Platform for Situated Intelligence project, an open-source framework designed to accelerate research and development on a broad class of multimodal, integrative-AI applications. Sean received his PhD from the University of Wisconsin-Madison where he primarily researched effective social gaze behaviors in human-robot and human-agent interaction.
Karol Family Applied Technology Professor
Tufts University
Matthias Scheutz is the Karol Family Applied Technology Professor of computer and cognitive science in the Department of Computer Science and Director of the HRI Laboratory and HRI Masters and PhD programs at Tufts University. He has over 400 peer-reviewed publications in artificial intelligence, artificial life, agent-based computing, natural language understanding, cognitive modeling, robotics, human-robot interaction and foundations of cognitive science. His current research focuses on complex ethical AI-enabled robots with natural language interaction, problem-solving, and instruction-based learning capabilities in open worlds.
Senior Researcher
Microsoft Research
Sean Andrist is a senior researcher at Microsoft Research in Redmond, Washington. His research interests involve designing, building, and evaluating AI technologies that enable machines to understand and participate in the “social physics” of human interaction, such as social robots and mixed reality task assistants. He is currently working on the Platform for Situated Intelligence project, an open-source framework designed to accelerate research and development on a broad class of multimodal, integrative-AI applications. Sean received his PhD from the University of Wisconsin-Madison where he primarily researched effective social gaze behaviors in human-robot and human-agent interaction.
Senior Researcher
Microsoft Research
Sean Andrist is a senior researcher at Microsoft Research in Redmond, Washington. His research interests involve designing, building, and evaluating AI technologies that enable machines to understand and participate in the “social physics” of human interaction, such as social robots and mixed reality task assistants. He is currently working on the Platform for Situated Intelligence project, an open-source framework designed to accelerate research and development on a broad class of multimodal, integrative-AI applications. Sean received his PhD from the University of Wisconsin-Madison where he primarily researched effective social gaze behaviors in human-robot and human-agent interaction.
Senior Researcher
Microsoft Research
Sean Andrist is a senior researcher at Microsoft Research in Redmond, Washington. His research interests involve designing, building, and evaluating AI technologies that enable machines to understand and participate in the “social physics” of human interaction, such as social robots and mixed reality task assistants. He is currently working on the Platform for Situated Intelligence project, an open-source framework designed to accelerate research and development on a broad class of multimodal, integrative-AI applications. Sean received his PhD from the University of Wisconsin-Madison where he primarily researched effective social gaze behaviors in human-robot and human-agent interaction.
Senior Researcher
Microsoft Research
Sean Andrist is a senior researcher at Microsoft Research in Redmond, Washington. His research interests involve designing, building, and evaluating AI technologies that enable machines to understand and participate in the “social physics” of human interaction, such as social robots and mixed reality task assistants. He is currently working on the Platform for Situated Intelligence project, an open-source framework designed to accelerate research and development on a broad class of multimodal, integrative-AI applications. Sean received his PhD from the University of Wisconsin-Madison where he primarily researched effective social gaze behaviors in human-robot and human-agent interaction.
Senior Researcher
Microsoft Research
Sean Andrist is a senior researcher at Microsoft Research in Redmond, Washington. His research interests involve designing, building, and evaluating AI technologies that enable machines to understand and participate in the “social physics” of human interaction, such as social robots and mixed reality task assistants. He is currently working on the Platform for Situated Intelligence project, an open-source framework designed to accelerate research and development on a broad class of multimodal, integrative-AI applications. Sean received his PhD from the University of Wisconsin-Madison where he primarily researched effective social gaze behaviors in human-robot and human-agent interaction.
Senior Researcher
Microsoft Research
Sean Andrist is a senior researcher at Microsoft Research in Redmond, Washington. His research interests involve designing, building, and evaluating AI technologies that enable machines to understand and participate in the “social physics” of human interaction, such as social robots and mixed reality task assistants. He is currently working on the Platform for Situated Intelligence project, an open-source framework designed to accelerate research and development on a broad class of multimodal, integrative-AI applications. Sean received his PhD from the University of Wisconsin-Madison where he primarily researched effective social gaze behaviors in human-robot and human-agent interaction.
Senior Researcher
Microsoft Research
Sean Andrist is a senior researcher at Microsoft Research in Redmond, Washington. His research interests involve designing, building, and evaluating AI technologies that enable machines to understand and participate in the “social physics” of human interaction, such as social robots and mixed reality task assistants. He is currently working on the Platform for Situated Intelligence project, an open-source framework designed to accelerate research and development on a broad class of multimodal, integrative-AI applications. Sean received his PhD from the University of Wisconsin-Madison where he primarily researched effective social gaze behaviors in human-robot and human-agent interaction.
Senior Researcher
Microsoft Research
Sean Andrist is a senior researcher at Microsoft Research in Redmond, Washington. His research interests involve designing, building, and evaluating AI technologies that enable machines to understand and participate in the “social physics” of human interaction, such as social robots and mixed reality task assistants. He is currently working on the Platform for Situated Intelligence project, an open-source framework designed to accelerate research and development on a broad class of multimodal, integrative-AI applications. Sean received his PhD from the University of Wisconsin-Madison where he primarily researched effective social gaze behaviors in human-robot and human-agent interaction.
Karol Family Applied Technology Professor
Tufts University
Matthias Scheutz is the Karol Family Applied Technology Professor of computer and cognitive science in the Department of Computer Science and Director of the HRI Laboratory and HRI Masters and PhD programs at Tufts University. He has over 400 peer-reviewed publications in artificial intelligence, artificial life, agent-based computing, natural language understanding, cognitive modeling, robotics, human-robot interaction and foundations of cognitive science. His current research focuses on complex ethical AI-enabled robots with natural language interaction, problem-solving, and instruction-based learning capabilities in open worlds.
Senior Researcher
Microsoft Research
Sean Andrist is a senior researcher at Microsoft Research in Redmond, Washington. His research interests involve designing, building, and evaluating AI technologies that enable machines to understand and participate in the “social physics” of human interaction, such as social robots and mixed reality task assistants. He is currently working on the Platform for Situated Intelligence project, an open-source framework designed to accelerate research and development on a broad class of multimodal, integrative-AI applications. Sean received his PhD from the University of Wisconsin-Madison where he primarily researched effective social gaze behaviors in human-robot and human-agent interaction.
Senior Researcher
Microsoft Research
Sean Andrist is a senior researcher at Microsoft Research in Redmond, Washington. His research interests involve designing, building, and evaluating AI technologies that enable machines to understand and participate in the “social physics” of human interaction, such as social robots and mixed reality task assistants. He is currently working on the Platform for Situated Intelligence project, an open-source framework designed to accelerate research and development on a broad class of multimodal, integrative-AI applications. Sean received his PhD from the University of Wisconsin-Madison where he primarily researched effective social gaze behaviors in human-robot and human-agent interaction.
Senior Researcher
Microsoft Research
Sean Andrist is a senior researcher at Microsoft Research in Redmond, Washington. His research interests involve designing, building, and evaluating AI technologies that enable machines to understand and participate in the “social physics” of human interaction, such as social robots and mixed reality task assistants. He is currently working on the Platform for Situated Intelligence project, an open-source framework designed to accelerate research and development on a broad class of multimodal, integrative-AI applications. Sean received his PhD from the University of Wisconsin-Madison where he primarily researched effective social gaze behaviors in human-robot and human-agent interaction.
Senior Researcher
Microsoft Research
Sean Andrist is a senior researcher at Microsoft Research in Redmond, Washington. His research interests involve designing, building, and evaluating AI technologies that enable machines to understand and participate in the “social physics” of human interaction, such as social robots and mixed reality task assistants. He is currently working on the Platform for Situated Intelligence project, an open-source framework designed to accelerate research and development on a broad class of multimodal, integrative-AI applications. Sean received his PhD from the University of Wisconsin-Madison where he primarily researched effective social gaze behaviors in human-robot and human-agent interaction.
Senior Researcher
Microsoft Research
Sean Andrist is a senior researcher at Microsoft Research in Redmond, Washington. His research interests involve designing, building, and evaluating AI technologies that enable machines to understand and participate in the “social physics” of human interaction, such as social robots and mixed reality task assistants. He is currently working on the Platform for Situated Intelligence project, an open-source framework designed to accelerate research and development on a broad class of multimodal, integrative-AI applications. Sean received his PhD from the University of Wisconsin-Madison where he primarily researched effective social gaze behaviors in human-robot and human-agent interaction.
Senior Researcher
Microsoft Research
Sean Andrist is a senior researcher at Microsoft Research in Redmond, Washington. His research interests involve designing, building, and evaluating AI technologies that enable machines to understand and participate in the “social physics” of human interaction, such as social robots and mixed reality task assistants. He is currently working on the Platform for Situated Intelligence project, an open-source framework designed to accelerate research and development on a broad class of multimodal, integrative-AI applications. Sean received his PhD from the University of Wisconsin-Madison where he primarily researched effective social gaze behaviors in human-robot and human-agent interaction.
Senior Researcher
Microsoft Research
Sean Andrist is a senior researcher at Microsoft Research in Redmond, Washington. His research interests involve designing, building, and evaluating AI technologies that enable machines to understand and participate in the “social physics” of human interaction, such as social robots and mixed reality task assistants. He is currently working on the Platform for Situated Intelligence project, an open-source framework designed to accelerate research and development on a broad class of multimodal, integrative-AI applications. Sean received his PhD from the University of Wisconsin-Madison where he primarily researched effective social gaze behaviors in human-robot and human-agent interaction.
Senior Researcher
Microsoft Research
Sean Andrist is a senior researcher at Microsoft Research in Redmond, Washington. His research interests involve designing, building, and evaluating AI technologies that enable machines to understand and participate in the “social physics” of human interaction, such as social robots and mixed reality task assistants. He is currently working on the Platform for Situated Intelligence project, an open-source framework designed to accelerate research and development on a broad class of multimodal, integrative-AI applications. Sean received his PhD from the University of Wisconsin-Madison where he primarily researched effective social gaze behaviors in human-robot and human-agent interaction.
A Multi-Robot Architecture Framework for Effective Robot Teammates in Mixed-Initiative Teams
Matthias Scheutz, Bradley Oosterveld, John R Peterson, Eric Wyss, and Evan Krause
A Socially Assistive Robot using Automated Planning in a Paediatric Clinical Setting
Alan Lindsay, Andres Alberto Ramirez Duque, Ron Petrick, and Mary Ellen Foster
A Systematic Approach to Modeling Structured Behavior in Social Robots
Carl Bettosi, Lynne Baillie, Martin K Ross, and Frank Broz
An Automatic Evaluation Framework for Social Conversations with Robots
Maike Paetzel-Prüsmann, Jill Fain Lehman, Celia Gomez, and James Kennedy
Dancing with Robots at a Science Museum: Coherent Motions Got More People To Dance, Incoherent Sends Weaker Signal
Alexandra Bacula and Heather Knight
Designing a Tabletop SAR as an Advanced HRI Experimentation Platform
Marc-Antoine Maheux, Dominic Létourneau, Philippe Warren, Adina Panchea, Julie M. Robillard, and François Michaud
Enabling Untrained Users to Shape Real-World Robot Behavior Using an Intuitive Visual Programming Tool in Human-Robot Interaction Scenarios
Michel Weike, Kai Ruske, Reinhard Gerndt, and Tobias Doernbach
Exploring the Impact of Explanation Representation on User Satisfaction in Robot Navigation
Amar Halilovic, Vanchha Chandrayan, and Senka Krivic
Improved Situational Awareness and Performance with Dynamic Task-Based Overlays for Teleoperation
Emmanuel Akita, Guy Zaidner, and Mitch Pryor
Recognition and Identification of Intentional Blocking in Social Navigation
Reuth Mirsky and Einav Shpiro
Single-Channel Robot Ego-Speech Filtering during Human-Robot Interaction
Yue Li, Koen Hindriks, and Florian Kunneman
VR Storytelling: Early Explorations of Minimal Social Robots in Virtual Reality
Heather Knight, Chinmay P. Wadgaonkar, Johannes Freischuetz, and Samarendra Hedaoo
C-TALC: Stepts Towards Combating Oversegmentation For Real Time Online Action Segmentation
Matthew Kent Myers, Nicholas Wright, Stephen McGough, and Nicholas Martin
Child Speech Recognition in Human-Robot Interaction: Problem Solved?
Ruben Janssens, Eva Verhelst, Giulio Antonio Abbo, Qiaoqiao Ren, Maria Jose, and Tony Belpaeme
Development of an AI-powered Robot system for Dementia Caregiver Training
Tyler Morris, Jeremiah David Augustine, Conor Brown, Seungwoo An, Fengpei Yuan, Linda Nichols, Jennifer Martindale Adams, and Xiaopeng Zhao
Do humans retaliate against immoral robots?
Zahra Rezaei Khavas, Monish Reddy Kotturu, Reza Ahmadzadeh, and Paul Robinette
GRIP: A Personalized Gesture Learning System for Robotic Arm Control
Omer Cakici and Kim Baraka
I Have No Mouth, Yet I Must Scream: Towards Situated Robot Acoustics in HRI
Eric Hansen, Ross Mead, and Tom Williams
Preliminary Study of Mixed Reality Interfaces for Collaborative Robot Programming of a Manufacturing Assembly Task Board
Medhavi Kamran, Snehesh Shrestha, Arnav Juneja, Shelly Bagchi, Jeremy Marvel, Megan Zimmerman, and Vinh Nguyen
Say What? - Analyzing the Impact of an Entity-Level Model of Working Memory Forgetting on Referring Expression Generation
Rafael Sousa Silva and Tom Williams
Thrice Upon A Time: Lessons Learned from Robot (Re)^{2}design
Michael Suguitan and Matthew V Law
The TAHRI Community and Career Fair provides new and exciting opportunities for community engagement and networking!
Would you like people to learn about some software, hardware, or other artifact you developed or use?
Do you want feedback on a thesis topic, experimental design, startup, or other project idea?
Are you searching for collaborators, co-founders, or other like-minded individuals?
Are you hiring or looking for a job?
Do you have a question or topic you’d like to discuss?
In this interactive session, participants will be provided with a short time slot to pitch a project/topic they wish to share, and then the community will gather in a room for open discussions and mingling. Posters and/or other artifacts are encouraged, but optional.
Apply (~5 minutes) by Mar. 1st, 2024 to contribute to the fair!
The TAHRI reception will be held in the UMC Connection, in the same building as our daytime events.
Reception activities will include bowling, billiards, table tennis, video games, board games… and karaoke!
We have partnered with CU Robotics, who will be hosting fun and interactive human-robot games in which TAHRI attendees and guests may participate!
Food and drinks will be provided (and are available to be sponsored!)
