About the Lab

Our lab aim designs and develops novel artificial intelligence (AI) techniques for interactive intelligent systems that leverage knowledge of how people behave around them and are supported by user studies. Using these algorithms, intelligent systems can tailor their functionality by learning actual use patterns and user preferences to improve performance metrics such as task completion time, accuracy, usability, understandability, and predictability.

Interested students are always welcome and should contact
Stephanie Rosenthal (srosenth at andrew dot cmu dot edu).

Supporting Data Scientists and Improving Analytics

Moshe Mash, Stephanie Rosenthal, and Reid Simmons. "DSWorkFlow: A Framework for Capturing Data Scientists’ Workflows." (Late Breaking Work) ACM Conference on Computer-Human Interaction (CHI), April 2021.

Stephanie Rosenthal and Tingting (Rachel) Chung. "Financial Data Validation by Data Scientists versus Accountants." (Extended Abstract) International Conference on Artificial Intelligence and Finance (ICAIF), October 2020.

Stephanie Rosenthal and Tingting (Rachel) Chung. "A Data Science Major: Building Skills and Confidence." ACM Special Interest Group on Computer Science Education (SIGCSE) Technical Symposium, March 2020. [pdf]

Julian Andres Ramos Rojas, Mary Beth Kery, Stephanie Rosenthal, Anind Dey. "Sampling Techniques to Improve Big Data Exploration," Symposium on Large Data Analysis and Visualization (in conjunction with IEEE VIS), pgs. 26-35, October 2017. [pdf]

Stephanie Rosenthal, Scott McMillan, Matthew Gaston. "Developer toolchains for large-scale analytics: Two case studies." In Proc. International Conference on Big Data (Big Data 2015): pgs 1311-1316, October 2015. [pdf]

Explainable AI and Robotics

Stephanie Rosenthal, Peerat Vichivanives, Elizabeth J. Carter. "The Impact of Route Descriptions on Human Expectations for Robot Navigation." In Transactions on Human-Robot Interaction, to appear 2022.

Sai Selvaraj, Stephanie Rosenthal, Manuela Veloso. “Classifier Labels as Language Grounding for Explanations.” Global Conference on Artificial Intelligence, August 2018.[pdf]

Sai Selvaraj, Stephanie Rosenthal, Manuela Veloso. “Classifier-Based Evaluation of Image Feature Importance.” Global Conference on Artificial Intelligence, August 2018.[pdf]

Sai Selvaraj, Stephanie Rosenthal, Manuela Veloso. “Vision-Based Robot State Explanation”. Workshop on Explainable Robots, Human Robot Interaction (HRI), March 2018.

Eleanor Avrunin, Stephanie Rosenthal, Reid Simmons. “Coverage-Based Policy Explanations”. Workshop on Explainable Robots, Human Robot Interaction (HRI), March 2018.

Sandeep Konam, Ian Quah, Stephanie Rosenthal, Manuela Veloso. "Understanding Convolutional Networks with APPLE: Automatic Patch Pattern Labeling for Explanation." AI, Ethics and Society Conference (in conjunction with AAAI), February 2018.[pdf]

Shen Li, Rosario Scalise, Henny Admoni, Siddhartha S. Srinivasa, Stephanie Rosenthal. "Evaluating Critical Points in Trajectories", Robot-Human Communication, pgs. 1357-1364, August 2017. [pdf]

Sandeep Konam, Benjamin J. Lengerich, Eric P. Xing, Stephanie Rosenthal, Manuela Veloso. "Towards Visual Explanations for Convolutional Neural Networks via Input Resampling", Workshop on Visualization for Deep Learning, International Conference on Machine Learning (ICML), August 2017.

Vittorio Perera, Sai P. Selveraj, Stephanie Rosenthal, Manuela Veloso. "Dynamic Generation and Refinement of Robot Verbalization", Robot-Human Communication, August 2016. [pdf]

Kim Baraka, Stephanie Rosenthal, and Manuela Veloso. "Enhancing Human Understanding of a Mobile Robot's State and Actions using Expressive Lights", Robot-Human Communication, August 2016. [pdf]

Shen Li, Rosario Scalise, Henny Admoni, Stephanie Rosenthal, Siddhartha S. Srinivasa. "Spatial References and Perspective in Natural Language Instructions for Collaborative Manipulation", Robot-Human Communication, August 2016. [pdf]

Stephanie Rosenthal, Sai P. Selvaraj, Manuela Veloso. "Verbalization: Narration of Autonomous Mobile Robot Experience." in Proc. 26th International Joint Conference on Artificial Intelligence (IJCAI 2016), July 2016. [pdf]

Scheduling and Resource Optimization

Elizabeth J. Carter, Laura M. Hiatt, Stephanie Rosenthal. "You're delaying my task?! Impact of Task Order and Motive on Perceptions of a Robot." ACM/IEEE Conference on Human-Robot Interaction (HRI), March 2022. [pdf]

Stephanie Rosenthal and Laura Hiatt. "Human-Centered Decision Support for Agenda Scheduling." International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), May 2020. [pdf]

Get In Touch.

Contact Details

Stephanie Rosenthal
Carnegie Mellon University
Pittsburgh, PA
Appointments required
srosenth at andrew dot cmu dot edu