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Matthias Scheutz

Matthias Scheutz

D-Index & Metrics

Computer Science

D-Index
59
Citations
10137
World Ranking
3497
National Ranking
1682

Overview

Matthias Scheutz is affiliated with Tufts University in the United States and has a significant body of research primarily within the field of Computer Science. Their work spans several subfields including Artificial Intelligence, Social Psychology, Cognitive Neuroscience, Control and Systems Engineering, and Computer Vision and Pattern Recognition.

The research of Matthias Scheutz covers a range of topics, with a particular focus on:

  • Social Robot Interaction and Human-Robot Interaction (HRI)
  • Reinforcement Learning in Robotics
  • Ethics and Social Impacts of Artificial Intelligence
  • AI-based Problem Solving and Planning
  • Speech and dialogue systems
  • Robot Manipulation and Learning
  • Domain Adaptation and Few-Shot Learning

Their recent publications include:

  • "Spoken language interaction with robots: Recommendations for future research" (2021) published in Computer Speech & Language
  • "The Interplay Between Emotional Intelligence, Trust, and Gender in Human-Robot Interaction" (2020) published in International Journal of Social Robotics
  • "A Touching Connection: How Observing Robotic Touch Can Affect Human Trust in a Robot" (2021) published in International Journal of Social Robotics
  • "Cognitive cascades: How to model (and potentially counter) the spread of fake news" (2022) published in PLoS ONE
  • "An Attachment Framework for Human-Robot Interaction" (2021) published in International Journal of Social Robotics

Frequent co-authors collaborating with Matthias Scheutz are Theresa Law, Shuchin Aeron, Meia Chita-Tegmark, Boyang Lyu, and Prakash Ishwar.

Their work has been disseminated through various publication venues, with the most frequent being:

  • arXiv (Cornell University)
  • ACM Transactions on Human-Robot Interaction
  • International Journal of Social Robotics
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Access

Best Publications

  • Development environments for autonomous mobile robots: A survey

    James Kramer;Matthias Scheutz

  • Mapping the Landscape of Human-Level Artificial General Intelligence

    Sam S. Adams;Itamar Arel;Joscha Bach;Robert Coop

  • Robot social presence and gender: do females view robots differently than males?

    Paul Schermerhorn;Matthias Scheutz;Charles R. Crowell

  • What to do and how to do it: Translating natural language directives into temporal and dynamic logic representation for goal management and action execution

    Juraj Dzifcak;Matthias Scheutz;Chitta Baral;Paul Schermerhorn

  • First steps toward natural human-like HRI

    Matthias Scheutz;Paul Schermerhorn;James Kramer;David Anderson

  • The Architectural Basis of Affective States and Processes

    Aaron Sloman;Ron Chrisley;Matthias Scheutz

  • Assistive Robots for the Social Management of Health: A Framework for Robot Design and Human-Robot Interaction Research.

    Meia Chita-Tegmark;Matthias Scheutz

  • The utility of affect expression in natural language interactions in joint human-robot tasks

    Matthias Scheutz;Paul Schermerhorn;James Kramer

  • What we can and cannot (yet) do with functional near infrared spectroscopy

    Megan K. Strait;Matthias Scheutz

  • Brainput: enhancing interactive systems with streaming fnirs brain input

    Erin Solovey;Paul Schermerhorn;Matthias Scheutz;Angelo Sassaroli

  • Interactive Task Learning

    John E. Laird;Kevin Gluck;John Anderson;Kenneth D. Forbus

  • Planning for human-robot teaming in open worlds

    Kartik Talamadupula;J. Benton;Subbarao Kambhampati;Paul Schermerhorn

  • When Physical Systems Realize Functions...

    Matthias Scheutz

  • Computationalism: New Directions

    Matthias Scheutz

  • Let me tell you! investigating the effects of robot communication strategies in advice-giving situations based on robot appearance, interaction modality and distance

    Megan Strait;Cody Canning;Matthias Scheutz

  • Incremental natural language processing for HRI

    Timothy Brick;Matthias Scheutz

  • Tell me when and why to do it!: run-time planner model updates via natural language instruction

    Rehj Cantrell;J. Benton;Kartik Talamadupula;Subbarao Kambhampati

  • Useful roles of emotions in artificial agents: a case study from artificial life

    Matthias Scheutz

  • How Robots Can Affect Human Behavior: Investigating the Effects of Robotic Displays of Protest and Distress

    Gordon Briggs;Matthias Scheutz

  • The “big red button” is too late: an alternative model for the ethical evaluation of AI systems

    Thomas Arnold;Matthias Scheutz

  • Moral competence in social robots

    Bertram F. Malle;Matthias Scheutz

  • Value Alignment or Misalignment – What Will Keep Systems Accountable?

    Thomas Arnold;Daniel Kasenberg;Matthias Scheutz

Frequent Co-Authors

Bertram F. Malle
Bertram F. Malle Brown University
Subbarao Kambhampati
Subbarao Kambhampati Arizona State University
Aaron Sloman
Aaron Sloman University of Birmingham
Michael Beetz
Michael Beetz University of Bremen
Michael Levin
Michael Levin Tufts University
Bennett I. Bertenthal
Bennett I. Bertenthal Indiana University
Yiannis Demiris
Yiannis Demiris Imperial College London
Chen Yu
Chen Yu The University of Texas at Austin
Kerstin Dautenhahn
Kerstin Dautenhahn University of Waterloo
Ronald C. Arkin
Ronald C. Arkin Georgia Institute of Technology

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