Lindsay Sanneman

According to our database, Lindsay Sanneman authored at least 16 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

An Information Bottleneck Characterization of the Understanding-Workload Tradeoff in Human-Centered Explainable AI.

Lindsay Sanneman, Mycal Tucker, Julie A. Shah

Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

2023

Validating metrics for reward alignment in human-autonomy teaming.

Lindsay Sanneman, Julie A. Shah

Comput. Hum. Behav., September, 2023

Understanding Our Robots With the Help of Human-Centered Explainable AI.

Lindsay Sanneman

XRDS, 2023

An Information Bottleneck Characterization of the Understanding-Workload Tradeoff.

Lindsay Sanneman, Mycal Tucker, Julie Shah

CoRR, 2023

Transparent Value Alignment.

Lindsay Sanneman, Julie Shah

Proceedings of the Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction, 2023

Taking Off with AI: Lessons from Aviation for Healthcare.

Elizabeth Bondi-Kelly, Thomas Hartvigsen, Lindsay M. Sanneman, Swami Sankaranarayanan, Zach Harned, Grace Wickerson, Judy Wawira Gichoya, Lauren Oakden-Rayner, Leo Anthony Celi, Matthew P. Lungren, Julie A. Shah, Marzyeh Ghassemi

Proceedings of the 3rd ACM Conference on Equity and Access in Algorithms, 2023

2022

An Empirical Study of Reward Explanations With Human-Robot Interaction Applications.

Lindsay Sanneman, Julie A. Shah

IEEE Robotics Autom. Lett., 2022

The Situation Awareness Framework for Explainable AI (SAFE-AI) and Human Factors Considerations for XAI Systems.

Lindsay Sanneman, Julie A. Shah

Int. J. Hum. Comput. Interact., 2022

2021

The State of Industrial Robotics: Emerging Technologies, Challenges, and Key Research Directions.

Lindsay Sanneman, Christopher K. Fourie, Julie A. Shah

Found. Trends Robotics, 2021

Explaining Reward Functions to Humans for Better Human-Robot Collaboration.

Lindsay Sanneman, Julie Shah

CoRR, 2021

2020

Trust Considerations for Explainable Robots: A Human Factors Perspective.

Lindsay M. Sanneman, Julie A. Shah

CoRR, 2020

Helping Robots Learn: A Human-Robot Master-Apprentice Model Using Demonstrations via Virtual Reality Teleoperation.

Joseph DelPreto, Jeffrey I. Lipton, Lindsay Sanneman, Aidan J. Fay, Christopher K. Fourie, Changhyun Choi, Daniela Rus

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

A Situation Awareness-Based Framework for Design and Evaluation of Explainable AI.

Lindsay M. Sanneman, Julie A. Shah

Proceedings of the Explainable, Transparent Autonomous Agents and Multi-Agent Systems, 2020

2019

A Taxonomy for Characterizing Modes of Interactions in Goal-driven, Human-robot Teams.

Priyam Parashar, Lindsay M. Sanneman, Julie A. Shah, Henrik I. Christensen

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Preference Elicitation and Explanation in Iterative Planning.

Lindsay Sanneman

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2015

A Distributed Robot Garden System.

Lindsay Sanneman, Deborah Ajilo, Joseph DelPreto, Ankur M. Mehta, Shuhei Miyashita, Negin Abdolrahim Poorheravi, Cami Ramirez, Sehyuk Yim, Sangbae Kim, Daniela Rus

Proceedings of the IEEE International Conference on Robotics and Automation, 2015