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Computer Science

D-Index
35
Citations
6413
World Ranking
11564
National Ranking
4751

Overview

Aaron Steinfeld is affiliated with Carnegie Mellon University in the United States. Their research spans multiple areas within computer science and engineering, with a focus on human-robot interaction, autonomous vehicle technology, and human-automation safety. The scientist's work intersects with social psychology, computer vision, human-computer interaction, automotive engineering, and artificial intelligence.

Their scholarly contributions include investigations into social robot interaction and human-robot interaction (HRI), autonomous vehicle technology and safety, human-automation interaction and safety, evacuation and crowd dynamics, video surveillance and tracking methods, innovative human-technology interaction, and traffic control and management.

Key recent publications include:

  • Core Challenges of Social Robot Navigation: A Survey (2023), published in ACM Transactions on Human-Robot Interaction
  • Space-weighted information fusion using deep reinforcement learning: The context of tactical control of lane-changing autonomous vehicles and connectivity range assessment (2021), published in Transportation Research Part C Emerging Technologies
  • SocNavBench: A Grounded Simulation Testing Framework for Evaluating Social Navigation (2022), published in ACM Transactions on Human-Robot Interaction
  • Core Challenges of Social Robot Navigation: A Survey (2021), published in arXiv (Cornell University)
  • Synergistic Integration of Large Language Models and Cognitive Architectures for Robust AI: An Exploratory Analysis (2024), published in Proceedings of the AAAI Symposium Series

Frequently collaborating co-authors include Allan Wang, John Zimmerman, Samantha Reig, Jodi Forlizzi, and Henny Admoni.

Their publications appear most often in:

  • arXiv (Cornell University)
  • ACM Transactions on Human-Robot Interaction
  • Proceedings of the AAAI Symposium Series
  • Transportation Research Part C Emerging Technologies
  • IEEE Transactions on Human-Machine Systems

This body of work reflects significant involvement in topics such as the social aspects of robot navigation, simulation frameworks for social navigation evaluation, tactical control strategies for autonomous vehicles using reinforcement learning, and explorations of integrating large language models with cognitive architectures to enhance artificial intelligence robustness.

Best Publications

  • Common metrics for human-robot interaction

    Aaron Steinfeld;Terrence Fong;David Kaber;Michael Lewis

  • Re-examining Whether, Why, and How Human-AI Interaction Is Uniquely Difficult to Design

    Qian Yang;Aaron Steinfeld;Carolyn Rosé;John Zimmerman

  • A robotic walker that provides guidance

    A. Morris;R. Donamukkala;A. Kapuria;A. Steinfeld

  • Investigating How Experienced UX Designers Effectively Work with Machine Learning

    Qian Yang;Alex Scuito;John Zimmerman;Jodi Forlizzi

  • Unremarkable AI: Fitting Intelligent Decision Support into Critical, Clinical Decision-Making Processes

    Qian Yang;Aaron Steinfeld;John Zimmerman

  • The oz of wizard: simulating the human for interaction research

    Aaron Steinfeld;Odest Chadwicke Jenkins;Brian Scassellati

  • Field trial of Tiramisu: crowd-sourcing bus arrival times to spur co-design

    John Zimmerman;Anthony Tomasic;Charles Garrod;Daisy Yoo

  • Impact of robot failures and feedback on real-time trust

    Munjal Desai;Poornima Kaniarasu;Mikhail Medvedev;Aaron Steinfeld

  • Core Challenges of Social Robot Navigation: A Survey.

    Christoforos I. Mavrogiannis;Francesca Baldini;Allan Wang;Dapeng Zhao

  • Moving object detection with laser scanners

    Christoph Mertz;Luis E. Navarro-Serment;Robert MacLachlan;Paul Rybski

  • Effects of changing reliability on trust of robot systems

    Munjal Desai;Mikhail Medvedev;Marynel Vazquez;Sean McSheehy

  • Investigating the Heart Pump Implant Decision Process: Opportunities for Decision Support Tools to Help

    Qian Yang;John Zimmerman;Aaron Steinfeld;Lisa Carey

  • Re-Embodiment and Co-Embodiment: Exploration of social presence for robots and conversational agents

    Michal Luria;Samantha Reig;Xiang Zhi Tan;Aaron Steinfeld

  • Helping visually impaired users properly aim a camera

    Marynel Vázquez;Aaron Steinfeld

  • Interface lessons for fully and semi-autonomous mobile robots

    A. Steinfeld

  • Towards Robot Autonomy in Group Conversations: Understanding the Effects of Body Orientation and Gaze

    Marynel Vazquez;Elizabeth J. Carter;Braden McDorman;Jodi Forlizzi

  • Space-weighted information fusion using deep reinforcement learning: The context of tactical control of lane-changing autonomous vehicles and connectivity range assessment

    Jiqian Dong;Sikai Chen;Sikai Chen;Yujie Li;Runjia Du

  • Creating Trustworthy Robots: Lessons and Inspirations from Automated Systems

    Munjal Desai;Kristen Stubbs;Aaron Steinfeld;Holly Yanco

  • Robot Presence and Human Honesty: Experimental Evidence

    Guy Hoffman;Jodi Forlizzi;Shahar Ayal;Aaron Steinfeld

  • RADAR: a personal assistant that learns to reduce email overload

    Michael Freed;Jaime Carbonell;Geoff Gordon;Jordan Hayes

  • Common metrics for human-robot interaction

    T. Fong;D. Kaber;M. Lewis;J. Scholtz

Frequent Co-Authors

John Zimmerman
John Zimmerman Carnegie Mellon University
Anthony Tomasic
Anthony Tomasic Carnegie Mellon University
Jodi Forlizzi
Jodi Forlizzi Carnegie Mellon University
Holly A. Yanco
Holly A. Yanco University of Massachusetts Lowell
Daniel P. Siewiorek
Daniel P. Siewiorek Carnegie Mellon University
Scott E. Hudson
Scott E. Hudson Carnegie Mellon University
Terrence Fong
Terrence Fong Ames Research Center
Brad A. Myers
Brad A. Myers Carnegie Mellon University
Michael A. Goodrich
Michael A. Goodrich Brigham Young University
Bahram Ravani
Bahram Ravani University of California, Davis

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