Shane T. Mueller

According to our database, Shane T. Mueller authored at least 36 papers between 2008 and 2023.

Collaborative distances:

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

2023

Increasing the Value of XAI for Users: A Psychological Perspective.

Robert R. Hoffman, Tim Miller, Gary Klein, Shane T. Mueller, William J. Clancey

Künstliche Intell., December, 2023

"Minimum Necessary Rigor" in empirically evaluating human-AI work systems.

Gary Klein, Robert R. Hoffman, William J. Clancey, Shane T. Mueller, Florian Jentsch, Mohammadreza Jalaeian

AI Mag., September, 2023

Measures for explainable AI: Explanation goodness, user satisfaction, mental models, curiosity, trust, and human-AI performance.

Robert R. Hoffman, Shane T. Mueller, Gary Klein, Jordan Litman

Frontiers Comput. Sci., 2023

Explainable AI: roles and stakeholders, desirements and challenges.

Robert R. Hoffman, Shane T. Mueller, Gary Klein, Mohammadreza Jalaeian, Connor Tate

Frontiers Comput. Sci., 2023

Evaluating machine-generated explanations: a "Scorecard" method for XAI measurement science.

Robert R. Hoffman, Mohammadreza Jalaeian, Connor Tate, Gary Klein, Shane T. Mueller

Frontiers Comput. Sci., 2023

2022

When Self-Driving Fails: Evaluating Social Media Posts Regarding Problems and Misconceptions about Tesla's FSD Mode.

Anne Linja, Tauseef Ibne Mamun, Shane T. Mueller

Multimodal Technol. Interact., 2022

Examining the Effectiveness of Different Assessments and Forecasts for Accurate Judgments of Learning in Engineering Classes.

Christopher Cischke, Shane T. Mueller

Proceedings of the 14th International Conference on Computer Supported Education, 2022

2021

Examining the effect of explanation on satisfaction and trust in AI diagnostic systems.

Lamia Alam, Shane T. Mueller

BMC Medical Informatics Decis. Mak., 2021

Principles of Explanation in Human-AI Systems.

Shane T. Mueller, Elizabeth S. Veinott, Robert R. Hoffman, Gary Klein, Lamia Alam, Tauseef Mamun, William J. Clancey

CoRR, 2021

Developing an Adaptive Framework to Support Intelligence Analysis.

Ashley F. McDermott, Elizabeth S. Veinott, Leonard Eusebi, Elizabeth T. Whitaker, Ethan Brantley Trewhitt, Shane T. Mueller, David A. Illingworth, Rick Thomas, Michael R. Dougherty, Sean L. Guarino

Proceedings of the Adaptive Instructional Systems. Design and Evaluation, 2021

Collaborative Explainable AI: A Non-algorithmic Approach to Generating Explanations of AI.

Tauseef Ibne Mamun, Robert R. Hoffman, Shane T. Mueller

Proceedings of the HCI International 2021 - Late Breaking Posters, 2021

Assessing Clustering Methods to Establish Reliability and Consensus in Card Sorting Tasks.

Lamia Alam, Shane T. Mueller

Proceedings of the Advances in Usability, User Experience, Wearable and Assistive Technology, 2021

2020

Explaining AI as an Exploratory Process: The Peircean Abduction Model.

Robert R. Hoffman, William J. Clancey, Shane T. Mueller

CoRR, 2020

Cognitive Anthropomorphism of AI: How Humans and Computers Classify Images.

Shane T. Mueller

CoRR, 2020

2019

Explanation in Human-AI Systems: A Literature Meta-Review, Synopsis of Key Ideas and Publications, and Bibliography for Explainable AI.

Shane T. Mueller, Robert R. Hoffman, William J. Clancey, Abigail Emrey, Gary Klein

CoRR, 2019

Development and Evaluation of a Model of Human Comfort and Cognitive Ability for Moderate Differences in Thermal Environment.

Shane T. Mueller, Yin-Yin (Sarah) Tan, Isaac Flint

Proceedings of the HCI International 2019 - Late Breaking Papers, 2019

What makes a good explanation? Cognitive dimensions of explaining intelligent machines.

Roberto Confalonieri, Tarek R. Besold, Tillman Weyde, Kathleen Creel, Tania Lombrozo, Shane T. Mueller, Patrick Shafto

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

2018

Cognitive perspectives on opinion dynamics: the role of knowledge in consensus formation, opinion divergence, and group polarization.

Shane T. Mueller, Yin-Yin (Sarah) Tan

J. Comput. Soc. Sci., 2018

Explaining Explanation, Part 4: A Deep Dive on Deep Nets.

Robert R. Hoffman, Tim Miller, Shane T. Mueller, Gary Klein, William J. Clancey

IEEE Intell. Syst., 2018

Metrics for Explainable AI: Challenges and Prospects.

Robert R. Hoffman, Shane T. Mueller, Gary Klein, Jordan Litman

CoRR, 2018

Equality in Dictator Games: Methodological Concerns in Interpreting Default-Mode Strategies and Norms for Equity.

Caden Sumner, Samantha Verran, Shane T. Mueller

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Testing the effectiveness of crossword games on immediate and delayed memory for scientific vocabulary and concepts.

Shane T. Mueller, Elizabeth S. Veinott

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

The Tracer Method: The Dynamic Duo Combining Cognitive Task Analysis and Eye Tracking.

Kaitlyn M. Roose, Elizabeth S. Veinott, Shane T. Mueller

Proceedings of the 2018 Annual Symposium on Computer-Human Interaction in Play Companion Extended Abstracts, 2018

2017

Explaining Explanation, Part 2: Empirical Foundations.

Robert R. Hoffman, Shane T. Mueller, Gary Klein

IEEE Intell. Syst., 2017

Evaluating path planning in human-robot teams: Quantifying path agreement and mental model congruency.

Brandon S. Perelman, Shane T. Mueller, Kristin E. Schaefer

Proceedings of the IEEE Conference on Cognitive and Computational Aspects of Situation Management, 2017

2015

Development of the PEBL Traveling Salesman Problem Computerized Testbed.

Shane T. Mueller, Brandon S. Perelman, Yin-Yin Tan, Kejkaew Thanasuan

J. Probl. Solving, 2015

Improving Lexical Memory Access and Decision Making Processes Using Cognitive Word Games.

Kejkaew Thanasuan, Shane T. Mueller

Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

2012

An Exploration of Crossword Skill.

Kejkaew Thanasuan, Shane T. Mueller

Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

2011

Improving Users' Mental Models of Intelligent Software Tools.

Shane T. Mueller, Gary Klein

IEEE Intell. Syst., 2011

Adapting the task-taxon-task methodology to model the impact of chemical protective gear.

Shane T. Mueller, Benjamin Simpkins, George Anno, Corey K. Fallon, Owen Price, Gene E. McClellan

Comput. Math. Organ. Theory, 2011

Tutorial on using the Psychology Experiment Building Language (PEBL) in the laboratory, the field, and the classroom.

Shane T. Mueller

Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

2010

The calibration of trust in an automated system: A sensemaking process.

Corey K. Fallon, Anne K. G. Murphy, Laura Zimmerman, Shane T. Mueller

Proceedings of the 2010 International Symposium on Collaborative Technologies and Systems, 2010

2009

Cultural variations in collaborative decision making: driven by beliefs or social norms?

Winston R. Sieck, Shane T. Mueller

Proceedings of the 2009 international workshop on Intercultural collaboration, 2009

Preface.

Alexei V. Samsonovich, David C. Noelle, Shane T. Mueller

Proceedings of the Biologically Inspired Cognitive Architectures, 2009

2008

Preface: Toward a Growing Computational Replica of the Human Mind.

Alexei V. Samsonovich, Shane T. Mueller

Proceedings of the Biologically Inspired Cognitive Architectures, 2008

Adapting the Turing Test for Embodied Neurocognitive Evaluation of Biologically-Inspired Cognitive Agents.

Shane T. Mueller, Brandon S. Minnery

Proceedings of the Biologically Inspired Cognitive Architectures, 2008