Samantha Krening

Computer Science · The Ohio State University

Mid career · publishing since 2013Rising activity

Reinforcement Learning in Robotics Explainable Artificial Intelligence (XAI)Radiomics and Machine Learning in Medical Imaging Advanced Radiotherapy Techniques AI in cancer detection

Publications

Citations

186

Est. group size

Recurring co-author estimate

Active years

Publishing since 2013

Research summary

AI-generated

Samantha Krening's research focuses on how humans and machine learning systems, especially reinforcement learning agents, can interact and communicate effectively. This includes studying how people give advice or verbal instructions to learning algorithms, how explainable AI methods affect trust, and how design choices shape people's perception of an AI system's intelligence. The work sits at the intersection of artificial intelligence, robotics, and human factors/ergonomics.

Human-in-the-loop reinforcement learningExplainable AI (XAI) and trustHuman-robot/human-AI interaction designAdvice-giving and verbal instruction for learning agentsHuman factors in autonomous systems

Publication output has been irregular over the past decade, with a cluster of activity in 2018-2019, a quiet period around 2020-2021, and renewed, increasing activity from 2022 onward.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence

Publications per year over the last 10 years — averaging 2.2/year recently

Recent publications

The Impact of Example-Based Xai on Trust in Highly-Technical Populations
Proceedings of the Human Factors and Ergonomics Society Annual Meeting · 2023
Q-learning as a model of utilitarianism in a human–machine team
Neural Computing and Applications · 2022
Effect of Interaction Design on the Human Experience with Interactive Reinforcement Learning
2019
Newtonian Action Advice: Integrating Human Verbal Instruction with Reinforcement Learning
2019
Interaction Algorithm Effect on Human Experience with Reinforcement Learning
ACM Transactions on Human-Robot Interaction · 2018
Characteristics that Influence Perceived Intelligence in AI Design
Proceedings of the Human Factors and Ergonomics Society Annual Meeting · 2018
Shifting role for human factors in an ‘unmanned’ era
Theoretical Issues in Ergonomics Science · 2018
Newtonian Action Advice: Integrating Human Verbal Instruction with\n Reinforcement Learning
arXiv (Cornell University) · 2018
Learning From Explanations Using Sentiment and Advice in RL
IEEE Transactions on Cognitive and Developmental Systems · 2016
Object-Focused Advice in Reinforcement Learning
Adaptive Agents and Multi-Agents Systems · 2016
Object-Focused Advice in Reinforcement Learning
2016

Publishes in

Proceedings of the Human Factors and Ergonomics Society Annual Meeting×2
IEEE Transactions on Cognitive and Developmental Systems×1
International Journal of Human-Computer Studies×1
ACM Transactions on Human-Robot Interaction×1
Biomedical Signal Processing and Control×1

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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 19, 2026.

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