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The Utility of Explainable AI in Ad Hoc Human-Machine Teaming

The Utility of Explainable AI in Ad Hoc Human-Machine Teaming

8 September 2022
Rohan R. Paleja
Muyleng Ghuy
Nadun R. Arachchige
Reed Jensen
Matthew C. Gombolay
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Papers citing "The Utility of Explainable AI in Ad Hoc Human-Machine Teaming"

12 / 12 papers shown
Title
Designs for Enabling Collaboration in Human-Machine Teaming via
  Interactive and Explainable Systems
Designs for Enabling Collaboration in Human-Machine Teaming via Interactive and Explainable Systems
Rohan R. Paleja
Michael Munje
K. Chang
Reed Jensen
Matthew C. Gombolay
39
2
0
07 Jun 2024
Explaining Bayesian Optimization by Shapley Values Facilitates Human-AI
  Collaboration
Explaining Bayesian Optimization by Shapley Values Facilitates Human-AI Collaboration
Julian Rodemann
Federico Croppi
Philipp Arens
Yusuf Sale
J. Herbinger
B. Bischl
Eyke Hüllermeier
Thomas Augustin
Conor J. Walsh
Giuseppe Casalicchio
46
7
0
07 Mar 2024
Interpretable Reinforcement Learning for Robotics and Continuous Control
Interpretable Reinforcement Learning for Robotics and Continuous Control
Rohan R. Paleja
Letian Chen
Yaru Niu
Andrew Silva
Zhaoxin Li
...
K. Chang
H. E. Tseng
Yan Wang
S. Nageshrao
Matthew C. Gombolay
31
7
0
16 Nov 2023
The Effect of Robot Skill Level and Communication in Rapid, Proximate
  Human-Robot Collaboration
The Effect of Robot Skill Level and Communication in Rapid, Proximate Human-Robot Collaboration
Kin Man Lee
Arjun Krishna
Z. Zaidi
Rohan R. Paleja
Letian Chen
Erin Hedlund-Botti
Mariah L. Schrum
Matthew C. Gombolay
21
13
0
07 Apr 2023
Towards Reconciling Usability and Usefulness of Explainable AI
  Methodologies
Towards Reconciling Usability and Usefulness of Explainable AI Methodologies
Pradyumna Tambwekar
Matthew C. Gombolay
28
8
0
13 Jan 2023
Towards Human-Centred Explainability Benchmarks For Text Classification
Towards Human-Centred Explainability Benchmarks For Text Classification
Viktor Schlegel
Erick Mendez Guzman
R. Batista-Navarro
18
5
0
10 Nov 2022
Painting the black box white: experimental findings from applying XAI to
  an ECG reading setting
Painting the black box white: experimental findings from applying XAI to an ECG reading setting
F. Cabitza
M. Cameli
Andrea Campagner
Chiara Natali
Luca Ronzio
29
9
0
27 Oct 2022
Collective Intelligence in Human-AI Teams: A Bayesian Theory of Mind
  Approach
Collective Intelligence in Human-AI Teams: A Bayesian Theory of Mind Approach
Samuel Westby
Christoph Riedl
LLMAG
29
23
0
24 Aug 2022
Strategy Discovery and Mixture in Lifelong Learning from Heterogeneous
  Demonstration
Strategy Discovery and Mixture in Lifelong Learning from Heterogeneous Demonstration
Sravan Jayanthi
Letian Chen
Matthew C. Gombolay
27
0
0
14 Feb 2022
Learning Interpretable, High-Performing Policies for Autonomous Driving
Learning Interpretable, High-Performing Policies for Autonomous Driving
Rohan R. Paleja
Yaru Niu
Andrew Silva
Chace Ritchie
Sugju Choi
Matthew C. Gombolay
19
16
0
04 Feb 2022
Towards an AI Coach to Infer Team Mental Model Alignment in Healthcare
Towards an AI Coach to Infer Team Mental Model Alignment in Healthcare
Sangwon Seo
Lauren R. Kennedy-Metz
M. Zenati
J. Shah
R. Dias
Vaibhav Unhelkar
112
21
0
17 Feb 2021
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
254
3,684
0
28 Feb 2017
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