HRI
Intuition-Enabled Machine Learning Beats the Competition When Joint Human-Robot Teams Perform Inorganic Chemical Experiments
Vasilios Duros, Jonathan Grizou, Abhishek Sharma, S. Hessam M. Mehr, Andrius Bubliauskas, Przemysław Frei, Haralampos N. Miras, Leroy Cronin
- Year
- 2019
- Citations
- 42
Abstract
O (1). We show that the robot-human teams are able to increase the prediction accuracy to 75.6 ± 1.8%, from 71.8 ± 0.3% with the algorithm alone and 66.3 ± 1.8% from only the human experimenters demonstrating that human-robot teams can beat robots or humans working alone.
Keywords
RobotIntuitionChemical spaceComputer scienceArtificial intelligenceHuman–computer interactionMachine learningData scienceCognitive sciencePsychology
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