Experiments in adjustable autonomy
By Jacob William Crandall, Michael A. Goodrich. 2001 IEEE International Conference on Systems, Man and Cybernetics. e-Systems and e-Man for Cybernetics in Cyberspace (Cat.No.01CH37236), 2001
315 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Control and Systems Engineering, Social Psychology
View Paper: https://www.semanticscholar.org/paper/5f097c34004609436798a5d5c61abf724be9e9e3
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In Computer Vision and Pattern Recognition
In Control and Systems Engineering
- Iyad Rahwan
- Jean C. Scholtz
- Guy Hoffman
- Cynthia Lynn Breazeal
- Kerstin Dautenhahn
- Brian Scassellati
- Andrea Lockerd Thomaz
- Pierre-Yves Oudeyer
In Social Psychology
- Guy Hoffman
- Cynthia Lynn Breazeal
- Iyad Rahwan
- Jean C. Scholtz
- Kerstin Dautenhahn
- Julie Arnold Shah
- Brian Scassellati
- Alex S Taylor
Citations in the corpus
- Cost-Based Anticipatory Action Selection for Human–Robot Fluency (2007, background): “Some frame human-robot collaboration in the context of mixedinitiative control and shared autonomy, arbitrating between the robot’s autonomy and direct human control, but also fail to address the question of shared-location fluency [17], [18].”
- Effects of anticipatory action on human-robot teamwork: Efficiency, fluency, and perception of team (2007, background): “Some frame human-robot collaboration in the context of mixed-initiative control and shared autonomy, arbitrating between the robot’s autonomy and direct human control, but also fail to address the question of shared-location fluency [5, 8].”
- Society-in-the-loop: programming the algorithmic social contract (2017, background): “This includes dynamically adapting the degree of autonomy given to robots [19, 73], interactively teaching reinforcement learning robots to adopt particular behaviors [74], and designing flexible human-robot teams [38].”
- Theory and evaluation of human robot interactions (2003, background): “Goodrich, Olsen, Crandall, and Palmer [ 12 ] introduce the concept of neglect to capture the relationship between user attention and robot autonomy.”