publications
journal articles:
Shared control-based bimanual robot manipulation. Daniel Rakita, Bilge Mutlu, Michael Gleicher and Laura M. Hiatt. Science Robotics, 4(30), 2019.
Artificial intelligence, autonomy, and human-machine teams -- interdependence, context, and explainable AI. William F. Lawless, Ranjeev Mittu, Don Sofge and Laura Hiatt. AI Magazine, 40(3):5-13, 2019.
Human modeling for human-robot collaboration. Laura M. Hiatt, Cody Narber, Esube Bekele, Sangeet S. Khemlani, and J. Gregory Trafton. International Journal of Robotics Research, 36(5-7):580-596, 2017.
Familiarity, priming and perception in similarity judgments. Laura M. Hiatt and J. Gregory Trafton. Cognitive Science, 41(6):1450-1484, 2017.
An account of interference in associative memory: Learning the fan effect. Topics in Cognitive Science, 9(1):69-82, 2017.
ACT-R/E: An embodied cognitive architecture for human-robot interaction. J. Gregory Trafton, Laura M. Hiatt, Anthony M. Harrison, Sangeet S. Khemlani, Franklin P. Tamborello, II, and Alan C. Schultz. Journal of Human-Robot Interaction, 2013.
An explanatory reasoning framework for embodied agents. Laura M. Hiatt, Sangeet S. Khemlani and J. Gregory Trafton. Biologically Inspired Cognitive Architectures, 1:23-31, 2012.
Coordinated multi-agent teams and sliding autonomy for large-scale assembly. Brennan Sellner, Frederik W. Heger, Laura M. Hiatt, Reid Simmons and Sanjiv Singh. In Proceedings of the IEEE, 2006.
Socially distributed perception: GRACE plays social tag at AAAI 2005. Marek P. Michalowski, Selma Sabanovic, Carl DiSalvo, Didac Busquets, Laura M. Hiatt, Nik A. Melchior, and Reid Simmons. Autonomous Robots, 22(4), 2007.
book chapters:
Learning context through cognitive priming. Laura M. Hiatt, Wallace E. Lawson and Mark Roberts. In Computational Context: The Value, Theory and Application of Context with AI. CRC Press, 2018.
Communicating and collaborating with robotic agents. J. Gregory Trafton, Alan C. Schultz, Nicholas L. Cassimatis, Laura M. Hiatt, Dennis Perzanowski, Derek P. Brock, Magdalena D. Bugajska, and William Adams. In Cognitive and Multi-Agent Interaction: From Cognitive Modeling to Social Stimulation, Ron Sun, editor. Cambridge University Press, 2005.
conference and workshop articles:
Validating and refining cognitive process models using probabilistic graphical models. Laura M. Hiatt, Connor Brooks and J. Gregory Trafton. In International Conference on Cognitive Modeling, 2021.
Goal lifecycle networks for robotics. Mark Roberts, Laura M. Hiatt, Vivint Shetty, Benjamin Brumback, Brandon Enochs and Piyabutra Jampathom. In Proceedings of the Florida Artificial Intelligence Research Society Conference (FLAIRS), 2021.
Comparing hierarchical goal recognition via HTN, CCG and analogy. Irina Rabkina, Pavan Kathnaraju, James Wilson, Mark Roberts, and Laura M. Hiatt. In Workshop on Plan, Activity and Intent Recognition (PAIR), held in conjunction with AAAI-21, 2021.
Recognizing the goals of uninspectable agents. Irina Rabkina, Pavan Kathnaraju, Mark Roberts, James Wilson, Kenneth Forbus and Laura M. Hiatt. In Advances in Cognitive Systems, 2020.
A spreading activation account of retrieval-induced forgetting. Laura M. Hiatt and Steven J. Jones. In Proceedings of the Annual Meeting of the Cognitive Science Society, 2020.
Using cognitive models to train big data models with small data. J. Gregory Trafton, Laura M. Hiatt, Benjamin Brumback and J. Malcolm McCurry. In International Conference on Autonomous Agents and Multi-Agent Systems, 2020.
Human-centered decision support for agenda scheduling. Stephanie Rosenthal and Laura M. Hiatt. In International Conference on Autonomous Agents and Multi-Agent Systems, 2020.
Recognizing the goals of uninspectable agents. Irina Rabkina, Pavan Kathnaraju, Mark Roberts, James Wilson, Kenneth Forbus and Laura Hiatt. In Workshop on Plan, Activity and Intent Recognition (PAIR), held in conjunction with AAAI-20, 2020.
Shared dynamic curves: A shared-control telemanipulation method for motor task training. Daniel Rakita, Bilge Mutlu, Michael Gleicher and Laura M. Hiatt. In ACM/IEEE International Conference on Human-Robot Interaction, 2018.
Improving sequential decision making with cognitive priming. Mark Roberts and Laura M. Hiatt. In Advances in Cognitive Systems, 2017.
A priming model of category-based feature inference. Laura M. Hiatt. In Proceedings of the Annual Meeting of the Cognitive Science Society, 2017.
A cognitive model of social influence. J. Gregory Trafton, Malcolm McCurry, Kevin Zish, Laura M. Hiatt and Sangeet Khemlani. In Proceedings of the Annual Meeting of the Cognitive Science Society, 2017.
Computational context as cognitive priming. Laura M. Hiatt. In AAAI Spring Symposium on Computational Context: Why It's Important, What It Means, and Can It Be Computed?, 2017.
An account of interference in associative memory: Learning the fan effect. Robert Thomson, Anthony M. Harrison, J. Gregory Trafton and Laura M. Hiatt. In International Conference on Cognitive Modeling, 2016.
Touch recognition and learning from demonstration (LfD) for collaborative human-robot firefighting teams. Wallace Lawson, Keith Sullivan, Cody Narber, Esube Bekele and Laura M. Hiatt. In IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), 2016.
Enhancing object recognition with dynamic cognitive context. Laura M. Hiatt, Wallace E. Lawson, Anthony M. Harrison and J. Gregory Trafton. In Workshop on Symbiotic Cognitive Systems (held in conjunction with AAAI), 2016.
Detecting anomalous objects on mobile platforms. Wallace Lawson, Laura Hiatt and Keith Sullivan. In Workshop on Moving Cameras Meet Video Surveillance: From Body-borne Cameras to Drones (held in conjunction with CVPR), 2016.
Actorsim, a toolkit for studying cross-disciplinary challenges in autonomy. Mark Roberts, Laura M. Hiatt, Alexandria Coman, Dongkyu Choi, Benjamin Johnson and David W. Aha. In AAAI Fall Symposium on Cross-Disciplinary Challenges for Autonomous Systems, 2016.
Automated surveillance from a mobile robot. Wallace Lawson, Keith Sullivan, Esube Bekele, Laura M. Hiatt, Robert Goring and J. Gregory Trafton. In AAAI Fall Symposium on Artificial Intelligence for Human-Robot Interaction, 2016.
A computational model of mind wandering. Laura M. Hiatt and J. Gregory Trafton. In Proceedings of the Annual Meeting of the Cognitive Science Society, 2015.
An account of associative learning in memory recall. Robert Thomson, Aryn A. Pyke, J. Gregory Trafton and Laura M. Hiatt. In Proceedings of the Annual Meeting of the Cognitive Science Society, 2015.
An activation-based model of routine sequence errors. Laura M. Hiatt and J. Gregory Trafton. In Proceedings of the International Conference on Cognitive Modeling, 2015.
Understanding second-order theory of mind [extended abstract]. Laura M. Hiatt and J. Gregory Trafton. In ACM/IEEE International Conference on Human-Robot Interaction, pages 167-168, 2015.
The role of familiarity, priming and perception in similarity judgments. Laura M. Hiatt and J. Gregory Trafton. In Proceedings of the Annual Meeting of the Cognitive Science Society, 2013.
Accommodating human variability in human-robot teams through theory of mind. Laura M. Hiatt, Anthony M. Harrison and J. Gregory Trafton. In International Joint Conference on Artificial Intelligence (IJCAI), 2011.
A cognitive model of theory of mind. Laura M. Hiatt and J. Gregory Trafton. In Proceedings of the International Conference on Cognitive Modeling, 2010.
Probabilistic strengthening of distributed multi-agent schedules. Laura M. Hiatt, Terry L. Zimmerman, Stephen F. Smith and Reid Simmons. In Workshop on Planning and Scheduling under Uncertainty (held in conjunction with ICAPS '10), 2010.
Strengthening schedules through uncertainty analysis. Laura M. Hiatt, Terry L. Zimmerman, Stephen F. Smith and Reid Simmons. In International Joint Conference on Artificial Intelligence (IJCAI), 2009.
Probabilistic plan management. Laura M. Hiatt. In Proceedings of the Fourteenth AAAI/SIGART Doctoral Consortium, 2009.
Overcoming sensor noise for low-tolerance autonomous assembly. Brennan Sellner, Frederik W. Heger, Laura M. Hiatt, Nik Melchior, Stephen Roderick, David Akin, Reid Simmons and Sanjiv Singh. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2008.
Reasoning about executional uncertainty to strengthen schedules. Laura M. Hiatt, Terry L. Zimmerman, Stephen F. Smith and Reid Simmons. In Workshop on a Reality Check for Planning and Scheduling Under Uncertainty (held in conjunction with ICAPS '08), 2008.
Towards probabilistic plan management. Laura M. Hiatt and Reid Simmons. In 3rd Workshop on Planning and Plan Execution for Real-World Systems (held in conjunction with ICAPS '07), Providence, RI, 2007.
Human-robot teams for large-scale assembly. Reid Simmons, Sanjiv Singh, Frederik W. Heger, Laura M. Hiatt, Seth Koterba, Nik Melchior and Brennan Sellner. In NASA Science Technology Conference 2007 (NSTC-07), Adelphi, MD, 2007.
Pre-positioning assets to increase execution efficiency. Laura M. Hiatt and Reid Simmons. In IEEE International Conference on Robotics and Automation (ICRA), Rome, 2007.
Coordinate frames in robotic teleoperation. Laura M. Hiatt and Reid Simmons. In IEEE/RSJ Internation Conference on Intelligent Robots and Systems (IROS), Beijing, October, 2006.
A preliminary study of peer-to-peer human-robot interaction. Terrence Fong, et al. In IEEE International Conference on Systems, Man, and Cybernetics (SMC), Taipei, October, 2006.
Attaining situational awareness for sliding autonomy. Brennan P. Sellner, Laura M. Hiatt, and Reid Simmons. In Proceedings of the 1st Annual Conference on Human-Robot Interaction, Salt Lake City, March, 2006.
The human-robot interaction operating system. Terrence Fong, Clayton Kunz, Laura M. Hiatt, Magda Bugajska. In Proceedings of the 1st Annual Conference on Human-Robot Interaction, Salt Lake City, March, 2006.
Socially distributed perception. Marek Michalowski, Carl DiSalvo, Didac Busquets, Laura M. Hiatt, Nicholas Melchior, Reid Simmons, and Selma Sabanovic. In Proceedings of the 1st Annual Conference on Human-Robot Interaction, March 2006.
The peer-to-peer human-robot interaction project. Terrence Fong, Illah Nourbakhsh, Clayton Kunz, Lorenzo Fluckiger, John Schreiner, Robert Ambrose, Robert Burridge, Reid Simmons, Laura M. Hiatt, Alan Schultz, J. Gregory Trafton, Magda Bugajska, and Jean Scholtz. In AIAA Space 2005, Long Beach CA, 2005.
Enabling spoken dialogue interaction about team activities. Laura M. Hiatt and Lawrence Cavedon. In 1st International Conference on Informatics in Control, Automation & Robotics, Multi-Agent Robotic Systems Workshop, Barcelona, 2005.
Results in sliding autonomy for multi-robot spatial assembly. Frederik W. Heger, Laura M. Hiatt, Brennan Sellner, Reid Simmons and Sanjiv Singh. In ISAIRAS, 2005.
A cognitive model of spatial perspective taking. Laura M. Hiatt, J. Gregory Trafton, Anthony M. Harrison, and Alan C. Schultz. In Proceedings of the International Conference on Cognitive Modeling, 2004.
Generation of collaborative spoken dialogue contributions in dynamic task environments. Oliver Lemon, Alexander Gruenstein, Randolf Gullet, Alexis Battle, Laura Hiatt and Stanley Peters. In Proceedings of AAAI Spring Symposium, 2003.
Targeted help for spoken dialogue systems: intelligent feedback improves naive users' performance. Beth Ann Hockey, Oliver Lemon, Ellen Campana, Laura Hiatt, Gregory Aist, James Hieronymus, Alexander Gruenstein, and John Dowding. In Proceedings of European Association for Computational Linguistics, 2003.
technical reports:
Social tag: Finding the person with the pink hat. Marek Michalowski, Didac Busquets, Carl DiSalvo, Laura Hiatt, Nik Melchior, Reid Simmons, and Selma Sabanovic. In National Conference on Artificial Intelligence (AAAI '05) Mobile Robot Competition Workshop, July 2005.
patents:
Method and system for interactive conversational dialogue for cognitively overloaded device users. Fuliang Weng, Lawrence Cavedon, Badri Raghunathan, Danilo Mirkovic, Laura M. Hiatt, Hauke Schmidt, Alexander Gruenstein, and Stanley Peters. US Patent 7716056, May 11, 2010.
thesis:
Probabilistic plan management. Laura M. Hiatt. PhD thesis, Carnegie Mellon University, 2009.