David L. Roberts

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 45

Top Topics

Position Tracking

Sequential Decision Tasks

Computational Modeling

Top Venues

IEEE Trans. Comput. Intell. AI Games

Publications

Grant C. Forbes, Nitish Gupta, Leonardo Villalobos-Arias, Colin M. Potts, Arnav Jhala, David L. Roberts
Potential-Based Reward Shaping for Intrinsic Motivation. AAMAS (2024)
Grant C. Forbes, David L. Roberts
Potential-Based Reward Shaping for Intrinsic Motivation (Student Abstract). AAAI (2024)
Tim Menzies, Brittany Johnson, David L. Roberts, Lauren Alvarez
The Engineering Mindset Is an Ethical Mindset (We Just Don't Teach It That Way... Yet). IEEE Softw. 40 (2) (2023)
Timothy R. N. Holder, Colt Nichols, Emily Summers, David L. Roberts, Alper Bozkurt
Towards a Multimodal Synchronized System for Quantifying Psychophysiological States in Canine Assisted Interactions. ACI (2023)
Yifan Wu, Colt Nichols, Marc Foster, Devon Martin, James Dieffenderfer, Masataka Enomoto, B. Duncan X. Lascelles, Jane Russenberger, Gerald Brenninkmeyer, Alper Bozkurt, David L. Roberts
An Exploration of Machine Learning Methods for Gait Analysis of Potential Guide Dogs. ACI (2023)
Jianxun Wang, Marc Foster, Alper Bozkurt, David L. Roberts
Motion-Resilient ECG Signal Reconstruction from a Wearable IMU through Attention Mechanism and Contrastive Learning. ACI (2022)
Marc Foster, Tianfu Wu, David L. Roberts, Alper Bozkurt
Preliminary Evaluation of a System with On-Body and Aerial Sensors for Monitoring Working Dogs. Sensors 22 (19) (2022)
Zachary Cleghern, Marc Foster, Sean Mealin, Evan Williams, Timothy Holder, Alper Bozkurt, David L. Roberts
A cloud data collection platform for canine behavioural prediction using objective sensor data. Int. J. Cloud Comput. 10 (3) (2021)
Timothy Ricardo Nathaniel Holder, Evan Williams, Devon Martin, Alice Kligerman, Emily Summers, Zach Cleghern, James Dieffenderfer, Jane Russenberger, David L. Roberts, Alper Bozkurt
From Ideation to Deployment: A Narrative Case Study of Citizen Science Supported Wearables for Raising Guide Dogs. ACI (2021)
Evan Williams, Zachary Cleghern, Marc Foster, Timothy Holder, David L. Roberts, Alper Bozkurt
A Smart Collar for Assessment of Activity Levels and Environmental Conditions for Guide Dogs. EMBC (2020)
Sean Mealin, Marc Foster, Zach Cleghern, Alper Bozkurt, David L. Roberts
Using Inertial Measurement Unit Data for Objective Evaluations of Potential Guide Dogs. ACI (2020)
Zach Cleghern, Evan Williams, Sean Mealin, Marc Foster, Timothy Holder, Alper Bozkurt, David L. Roberts
Behavioral and Environmental Analytics from Potential Guide Dogs with IoT Sensor Data Informed by Expert Insight. ACI (2020)
Marc Foster, Jianxun Wang, Evan Williams, David L. Roberts, Alper Bozkurt
Inertial Measurement Based Heart and Respiration Rate Estimation of Dogs During Sleep for Welfare Monitoring. ACI (2020)
Sean Mealin, Zach Cleghern, Marc Foster, Alper Bozkurt, David L. Roberts
Predicting Guide Dog Temperament Evaluation Outcomes Using Raw ECG Signals. ACI (2019)
Robert T. Loftin, Bei Peng, Matthew E. Taylor, Michael L. Littman, David L. Roberts
Interactive Learning of Environment Dynamics for Sequential Tasks. CoRR (2019)
Marc Foster, Tarik Agcayazi, M. Talha Agcayazi, Tianfu Wu, Margaret Gruen, David L. Roberts, Alper Bozkurt
Preliminary Evaluation of Dog-Drone Technological Interfaces: Challenges and Opportunities. ACI (2019)
Zach Cleghern, Evan Williams, Sean Mealin, Marc Foster, Timothy Holder, Alper Bozkurt, David L. Roberts
An IoT and Analytics Platform for Characterizing Adolescent Dogs' Suitability for Guide Work. ACI (2019)
Marc Foster, Sean Mealin, Margaret Gruen, David L. Roberts, Alper Bozkurt
Preliminary Evaluation of a Wearable Sensor System for Assessment of Heart Rate, Heart Rate Variability, and Activity Level in Working Dogs. IEEE SENSORS (2019)
David L. Roberts, Jeremy Park, Anthony Pappas, Margaret Gruen, Megan Carson
Automated Tail Position Tracking with Millimeter Accuracy using Depth Sensing and Mask R-CNN. ACI (2019)
Marc Foster, Eric Beppler, Timothy Holder, James Dieffenderfer, Patrick D. Erb, Kristy Everette, Margaret Gruen, Tamara Somers, Tom Evans, Michael A. Daniele, David L. Roberts, Alper Bozkurt
A System for Assessment of Canine-Human Interaction during Animal-Assisted Therapies. EMBC (2018)
Bei Peng, James MacGlashan, Robert Tyler Loftin, Michael L. Littman, David L. Roberts, Matthew E. Taylor
Curriculum Design for Machine Learners in Sequential Decision Tasks. IEEE Trans. Emerg. Top. Comput. Intell. 2 (4) (2018)
Marc Foster, Patrick D. Erb, Brenna Plank, Helen West, Jane Russenberger, Margaret Gruen, Michael A. Daniele, David L. Roberts, Alper Bozkurt
3D-Printed Electrocardiogram Electrodes for Heart Rate Detection in Canines. BioCAS (2018)
James MacGlashan, Mark K. Ho, Robert Tyler Loftin, Bei Peng, Guan Wang, David L. Roberts, Matthew E. Taylor, Michael L. Littman
Interactive Learning from Policy-Dependent Human Feedback. ICML (2017)
Bei Peng, James MacGlashan, Robert T. Loftin, Michael L. Littman, David L. Roberts, Matthew E. Taylor
Curriculum Design for Machine Learners in Sequential Decision Tasks. AAMAS (2017)
Sean Mealin, Marc Foster, Katherine Walker, Sherrie Yuschak, Barbara L. Sherman, Alper Bozkurt, David L. Roberts
Creating an Evaluation System for Future Guide Dogs: A Case Study of Designing for Both Human and Canine Needs. ACI (2017)
John Majikes, Rita Brugarolas, Michael Winters, Sherrie Yuschak, Sean Mealin, Katherine Walker, Pu Yang, Barbara L. Sherman, Alper Bozkurt, David L. Roberts
Balancing noise sensitivity, response latency, and posture accuracy for a computer-assisted canine posture training system. Int. J. Hum. Comput. Stud. 98 (2017)
James MacGlashan, Mark K. Ho, Robert Tyler Loftin, Bei Peng, David L. Roberts, Matthew E. Taylor, Michael L. Littman
Interactive Learning from Policy-Dependent Human Feedback. CoRR (2017)
John J. Majikes, Sherrie Yuschak, Katherine Walker, Rita Brugarolas, Sean Mealin, Marc Foster, Alper Bozkurt, Barbara L. Sherman, David L. Roberts
Stimulus Control for Semi-autonomous Computer Canine-Training. Living Machines (2017)
Ignacio X. Domínguez, Prairie Rose Goodwin, David L. Roberts, Robert St. Amant
Human Subtlety Proofs: Using Computer Games to Model Cognitive Processes for Cybersecurity. Int. J. Hum. Comput. Interact. 33 (1) (2017)
Zach Cleghern, Soumendra Lahiri, Osman Y. Özaltin, David L. Roberts
Predicting future states in DotA 2 using value-split models of time series attribute data. FDG (2017)
Robert T. Loftin, Bei Peng, James MacGlashan, Michael L. Littman, Matthew E. Taylor, Jeff Huang, David L. Roberts
Learning behaviors via human-delivered discrete feedback: modeling implicit feedback strategies to speed up learning. Auton. Agents Multi Agent Syst. 30 (1) (2016)
John J. Majikes, Sean Mealin, Rita Brugarolas, Katherine Walker, Sherrie Yuschak, Barbara L. Sherman, Alper Bozkurt, David L. Roberts
Smart connected canines: IoT design considerations for the lab, home, and mission-critical environments. Sarnoff Symposium (2016)
Ignacio X. Domínguez, Rogelio Enrique Cardona-Rivera, James K. Vance, David L. Roberts
The Mimesis Effect: The Effect of Roles on Player Choice in Interactive Narrative Role-Playing Games. CHI (2016)
Sean Mealin, Steven Howell, David L. Roberts
Towards Unsupervised Canine Posture Classification via Depth Shadow Detection and Infrared Reconstruction for Improved Image Segmentation Accuracy. Living Machines (2016)
Adam Amos-Binks, David L. Roberts, Robert Michael Young
Summarizing and Comparing Story Plans. CMN (2016)
Robert St. Amant, David L. Roberts
Natural Interaction for Bot Detection. IEEE Internet Comput. 20 (4) (2016)
Bei Peng, James MacGlashan, Robert Tyler Loftin, Michael L. Littman, David L. Roberts, Matthew E. Taylor
A Need for Speed: Adapting Agent Action Speed to Improve Task Learning from Non-Expert Humans. AAMAS (2016)
Robert Tyler Loftin, James MacGlashan, Bei Peng, Matthew E. Taylor, Michael L. Littman, David L. Roberts
Towards Behavior-Aware Model Learning from Human-Generated Trajectories. AAAI Fall Symposia (2016)
Rita Brugarolas, M. Talha Agcayazi, Sherrie Yuschak, David L. Roberts, Barbara L. Sherman, Alper Bozkurt
Towards a wearable system for continuous monitoring of sniffing and panting in dogs. BSN (2016)
Sean Mealin, Ignacio X. Domínguez, David L. Roberts
Semi-supervised classification of static canine postures using the Microsoft Kinect. ACI (2016)
Ignacio X. Domínguez, Alok Goel, David L. Roberts, Robert St. Amant
Detecting abnormal user behavior through pattern-mining input device analytics. HotSoS (2015)
Sean Mealin, Mike Winters, Ignacio X. Domínguez, Michelle Marrero-García, Alper Bozkurt, Barbara L. Sherman, David L. Roberts
Towards the non-visual monitoring of canine physiology in real-time by blind handlers. Advances in Computer Entertainment (2015)
Michael Winters, Rita Brugarolas, John Majikes, Sean Mealin, Sherrie Yuschak, Barbara L. Sherman, Alper Bozkurt, David L. Roberts
Knowledge engineering for unsupervised canine posture detection from IMU data. Advances in Computer Entertainment (2015)
Brent E. Harrison, David L. Roberts
An Analytic and Psychometric Evaluation of Dynamic Game Adaption for Increasing Session-Level Retention in Casual Games. IEEE Trans. Comput. Intell. AI Games 7 (3) (2015)
Brent E. Harrison, Stephen G. Ware, Matthew William Fendt, David L. Roberts
A Survey and Analysis of Techniques for Player Behavior Prediction in Massively Multiplayer Online Role-Playing Games. IEEE Trans. Emerg. Top. Comput. 3 (2) (2015)
Pu Yang, Brent E. Harrison, David L. Roberts
Identifying patterns in combat that are predictive of success in MOBA games. FDG (2014)
Brent Edward Harrison, David L. Roberts
Analytics-Driven Dynamic Game Adaption for Player Retention in a 2-Dimensional Adventure Game. AIIDE (2014)
Robert Tyler Loftin, Bei Peng, James MacGlashan, Michael L. Littman, Matthew E. Taylor, Jeff Huang, David L. Roberts
Learning something from nothing: Leveraging implicit human feedback strategies. RO-MAN (2014)
Stephen G. Ware, Robert Michael Young, Brent E. Harrison, David L. Roberts
A Computational Model of Plan-Based Narrative Conflict at the Fabula Level. IEEE Trans. Comput. Intell. AI Games 6 (3) (2014)
Robert Tyler Loftin, James MacGlashan, Bei Peng, Matthew E. Taylor, Michael L. Littman, Jeff Huang, David L. Roberts
A Strategy-Aware Technique for Learning Behaviors from Discrete Human Feedback. AAAI (2014)
David L. Roberts, Charles L. Isbell Jr.
Lessons on Using Computationally Generated Influence for Shaping Narrative Experiences. IEEE Trans. Comput. Intell. AI Games 6 (2) (2014)
Rogelio Enrique Cardona-Rivera, Justus Robertson, Stephen G. Ware, Brent E. Harrison, David L. Roberts, Robert Michael Young
Foreseeing Meaningful Choices. AIIDE (2014)
Alper Bozkurt, David L. Roberts, Barbara L. Sherman, Rita Brugarolas, Sean Mealin, John Majikes, Pu Yang, Robert Tyler Loftin
Toward Cyber-Enhanced Working Dogs for Search and Rescue. IEEE Intell. Syst. 29 (6) (2014)
Arpan Chakraborty, Brent E. Harrison, Pu Yang, David L. Roberts, Robert St. Amant
Exploring key-level analytics for computational modeling of typing behavior. HotSoS (2014)
Rita Brugarolas, Robert T. Loftin, Pu Yang, David L. Roberts, Barbara L. Sherman, Alper Bozkurt
Behavior recognition based on machine learning algorithms for a wireless canine machine interface. BSN (2013)
Matthew William Fendt, David L. Roberts, R. Michael Young
Evaluating the Use of Action Templates to Create Suspense in Narrative Planning. Intelligent Narrative Technologies (2013)
Pu Yang, David L. Roberts
Knowledge discovery for characterizing team success or failure in (A)RTS games. CIG (2013)
Titus Barik, Michael Everett, Rogelio Enrique Cardona-Rivera, David L. Roberts, Edward F. Gehringer
A community college blended learning classroom experience through Artificial Intelligence in Games. FIE (2013)
Brent E. Harrison, David L. Roberts
Analytics-driven dynamic game adaption for player retention in Scrabble. CIG (2013)
Rita Brugarolas, David L. Roberts, Barbara L. Sherman, Alper Bozkurt
Posture estimation for a canine machine interface based training system. EMBC (2012)
David L. Roberts, Andrew Hansen
A Formal Game for Eliciting Story Structure from Authors. INT@AIIDE (2012)
Matthew William Fendt, Brent E. Harrison, Stephen G. Ware, Rogelio Cardona-Rivera, David L. Roberts
Achieving the Illusion of Agency. ICIDS (2012)
Stephen G. Ware, Robert Michael Young, Brent E. Harrison, David L. Roberts
Four Quantitative Metrics Describing Narrative Conflict. ICIDS (2012)
Titus Barik, Brent E. Harrison, David L. Roberts, Xuxian Jiang
Spatial Game Signatures for Bot Detection in Social Games. AIIDE (2012)
Brent E. Harrison, David L. Roberts
When Players Quit (Playing Scrabble). AIIDE (2012)
Brent E. Harrison, David L. Roberts
Using sequential observations to model and predict player behavior. FDG (2011)
David L. Roberts
Seven Design Challenges for Fully-realized Experience Management. Intelligent Narrative Technologies (2011)
Karthik Sankaran Narayan, Charles Lee Isbell Jr., David L. Roberts
DEXTOR: Reduced Effort Authoring for Template-Based Natural Language Generation. AIIDE (2011)
Stephen G. Ware, Brent E. Harrison, Robert Michael Young, David L. Roberts
Initial Results for Measuring Four Dimensions of Narrative Conflict. Intelligent Narrative Technologies (2011)
David L. Roberts, Fred S. Roberts
A Method for Transferring Probabilistic User Models between Environments. ICIDS (2011)
David L. Roberts, Mark O. Riedl, Charles L. Isbell Jr.
Beyond Adversarial: The Case for Game AI as Storytelling. DiGRA Conference (2009)
Sandy Louchart, Manish Mehta, David L. Roberts
Organizing Committee. AAAI Spring Symposium: Intelligent Narrative Technologies II (2009)
David L. Roberts, Harikrishna Narayanan, Charles L. Isbell Jr.
Learning to Influence Emotional Responses for Interactive Storytelling. AAAI Spring Symposium: Intelligent Narrative Technologies II (2009)
Jie Bao, Uldis Bojars, Tanzeem Choudhury, Li Ding, Mark Greaves, Ashish Kapoor, Sandy Louchart, Manish Mehta, Bernhard Nebel, Sergei Nirenburg, Tim Oates, David L. Roberts, Antonio Sanfilippo, Nenad Stojanovic, Kristen Stubbs, Andrea Lockerd Thomaz, Katherine M. Tsui, Stefan Wölfl
Reports of the AAAI 2009 Spring Symposia. AI Mag. 30 (3) (2009)
Sandy Louchart, Manish Mehta, David L. Roberts
Preface. AAAI Spring Symposium: Intelligent Narrative Technologies II (2009)
David L. Roberts, Merrick L. Furst, Brian Dorn, Charles L. Isbell Jr.
Using influence and persuasion to shape player experiences. Sandbox@SIGGRAPH (2009)
David L. Roberts, Charles L. Isbell Jr., Michael L. Littman
Optimization problems involving collections of dependent objects. Ann. Oper. Res. 163 (1) (2008)
David L. Roberts, Charles Lee Isbell Jr., Mark O. Riedl, Ian Bogost, Merrick L. Furst
On the Use of Computational Models of Influence for Managing Interactive Virtual Experiences. ICIDS (2008)
David L. Roberts
Computational Influence for Training and Entertainment. AAAI (2008)
David L. Roberts, Fred S. Roberts
Locating sensors in paths and cycles: The case of 2-identifying codes. Eur. J. Comb. 29 (1) (2008)
David L. Roberts, Andrew S. Cantino, Charles Lee Isbell Jr.
Player Autonomy versus Designer Intent: A Case Study of Interactive Tour Guides. AIIDE (2007)
Andrew S. Cantino, David L. Roberts, Charles L. Isbell Jr.
Autonomous nondeterministic tour guides: improving quality of experience with TTD-MDPs. AAMAS (2007)
David L. Roberts, Christina R. Strong, Charles L. Isbell Jr.
Using Feature Value Distributions to Estimate Player Satisfaction through an Author's Eyes. AAAI Fall Symposium: Intelligent Narrative Technologies (2007)
Sooraj Bhat, David L. Roberts, Mark J. Nelson, Charles L. Isbell Jr., Michael Mateas
A globally optimal algorithm for TTD-MDPs. AAMAS (2007)
David L. Roberts, Sooraj Bhat, Kenneth St. Clair, Charles Lee Isbell Jr.
Authorial Idioms for Target Distributions in TTD-MDPs. AAAI (2007)
David L. Roberts, Sooraj Bhat, Charles Lee Isbell Jr., Brian F. Cooper, Jeffrey S. Pierce
A decision-theoretic approach to file consistency in constrained peer-to-peer device networks. AAMAS (2006)
David L. Roberts, Mark J. Nelson, Charles Lee Isbell Jr., Michael Mateas, Michael L. Littman
Targeting Specific Distributions of Trajectories in MDPs. AAAI (2006)
Mark J. Nelson, David L. Roberts, Charles Lee Isbell Jr., Michael Mateas
Reinforcement learning for declarative optimization-based drama management. AAMAS (2006)
Mark J. Nelson, Michael Mateas, David L. Roberts, Charles Lee Isbell Jr.
Declarative Optimization-Based Drama Management in Interactive Fiction. IEEE Computer Graphics and Applications 26 (3) (2006)
David L. Roberts, Tina Eliassi-Rad
A Position Paper: Value of Information for Evidence Detection. AAAI Fall Symposium: Capturing and Using Patterns for Evidence Detection (2006)