DanÌýSzafir
- Assistant Professor of Computer Science, UNC Chapel Hill
- Former ATLAS faculty member
Beginning in August 2021, Szafir began a new position at the University of North Carolina Chapel Hill as an assistant professor of computer science. HeÌýserved as an assistant professor of computer science with the ATLAS Institute 2015 – 2021.
Dan Szafir studies the design and use of robots and related novel technologies, including brain-computer interfaces and virtual reality, with the goal of improving usability and outcomes, such as learning and collaboration. ÌýHis research isÌýfocusedÌýon human-robot interaction (HRI) and human-computer interaction (HCI). ÌýDan received a doctorateÌýin computer science from the University of Wisconsin-Madison, where heÌýwas a member of theÌýHuman-Computer Interaction Laboratory. Prior to UW, heÌýreceived degrees in computer science and history from Boston College.
Projects
- Graphical User Interfaces Go Robotic
- Shared Autonomy for Teleoperation
- Sensing Space
- Virtual-to-Real-World Transfer Learning
- RoomShift
- RoboGraphics: Dynamic Tactile Graphics Powered by Mobile Robots
- REFORM
- Object Disambiguation using Locative Prepositions
- Influence of size in augmented reality telepresence avatars
- Haptic Video Player
- Graphic Impulse
- Gauging Distance with Augmented Reality
- Augmented Reality Informs Human-Robot Interaction
- F-formations
- Design for Remanufacturability
- Cylindrical Stereolithography
- Developing Principles for Effective Human Collaboration with Free-Flying Robots
- Collaboration with Free-Flying Robots
- Data Mediated Communication with Proximal Robots for Emergency Response
- Augmented Reality and Autonomous Systems (ARIAS)
- Leveraging Implicit Human Cues to Design Effective Behaviors for Collaborative Robots
- Robot Self-Awareness: Improving Robots' Understanding of How Humans View Robots
- Body Language for Robots
- Augmented Reality Remote Assistance (ARRA)
- Virtual Surrogate Robot
- PufferBot
Publications
S. Sandra Bae, Takanori Fujiwara, Anders Ynnerman,ÌýEllen Yi-Luen Do,ÌýMichael L. Rivera,ÌýDanielle Albers Szafir. 2024. "". In:ÌýIEEE Transactions on Visualization and Computer GraphicsÌý(January 2024).
S. Sandra Bae, Takanori Fujiwara, Anders Ynnerman,ÌýEllen Yi-Luen Do,ÌýMichael L. Rivera,ÌýDanielle Albers Szafir. 2023. "". In:ÌýIEEE Transactions on Visualization and Computer GraphicsÌý(OctoberÌý2023).
Hooman Hedayati,ÌýRyoÌýSuzuki,ÌýWyatt Rees,ÌýDaniel Leithinger, andÌýDaniel SzafirÌý. 2022.Ìý. Frontiers in Robotics and AI. vol. 9. DOI=10.3389/frobt.2022.719639Ìý (April 11, 2022).
Hooman HedayatiÌýandÌýDaniel Szafir. 2022. Predicting Positions of People in Human-Robot Conversational Groups. InÌýProceedings of the 2022 ACM/IEEE International Conference on Human-Robot InteractionÌý(HRI '22). IEEE Press, 402–411.
Jamie Voros, Jamison McGinley, Steven McGuire, Michael Walker, Priyanka Karki, Nisar Ahmed, Daniel Szafir, and Torin Clark(C). (2020). Trust in an Autonomous Guidance System for a Planetary Rover Task. In the IEEE Aerospace Conference (AeroConf 2020), pp. 1–8. Big Sky, Montana. doi:
M. Whitlock, Daniel Szafir, & Kenny Gruchalla. 2020. HydrogenAR: Interactive Data-Driven Storytelling for Dispenser Reliability. In Proceedings of the International Symposium on Mixed and Augmented Reality (ISMAR), DOI: . (Virtual–Nov. 9-13, 2020) .Ìý
Hooman Hedayati, Ryo Suzuki, Daniel Leithinger, Daniel J. Szafir. 2020. PufferBot: Actuated Expandable Structures for Aerial Robots. In Proceedings of the 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2020). DOI: . (Las Vegas, Nevada–Oct.Ìý25-29, 2020) .
Hooman Hedayati, Annika Muehlbradt, Daniel