Well, if machine learning was used in this situation, the robot itself would make a decision in the moment based on the information it has been given. Meaning, the robot would choose to perform either option A o
"InterpretML: A Unified Framework for Machine Learning Interpretability" (H. Nori, S. Jenkins, P. Koch, and R. Caruana 2019) @article{nori2019interpretml, title={InterpretML: A Unified Framework for Machine Learning Interpretability}, author={Nori, Harsha and Jenkins, Samuel and Koch, Paul and...
This study contributes to the extant literature of human-robot interaction by proposing a theoretically grounded and empirically tested framework that contextualizes psychological ownership theory, uncertainty reduction theory, and trust in technology model. We also highlight the implications for practitioners...
“part of the attraction ofThe Lord of the Rings”, and other fictions with imaginary worlds, relies on the “intrinsic feeling of reward” we experience when “viewing far off an unvisited island or the towers of a distant city”
A typical helicopter has thousands of intricate components, but we only need to worry about a handful of the bigger bits. The main framework is called the fuselage and it's typically made from strong but relatively lightweight composite materials. It contains one or two engines, a transmission...
Meanwhile, the robot acts as a teacher's assistant to co-learn with children in the class. The FML-based knowledge base and rule base are embedded in the robot so that the teachers can get feedback from the robot on whether students make progress or not. Next, we inferred students' ...
the neural network generates the classification “tumour-containing” or “tumour-free” for the respective image. At the same time, it creates an activation map of the tissue image. The activation map has emerged from the inductive learning process and is initially unrelated to reality. The ...
"InterpretML: A Unified Framework for Machine Learning Interpretability" (H. Nori, S. Jenkins, P. Koch, and R. Caruana 2019) @article{nori2019interpretml, title={InterpretML: A Unified Framework for Machine Learning Interpretability}, author={Nori, Harsha and Jenkins, Samuel and Koch, Paul and...
Measures assessed viewer learning of four of the nine brands embedded in the film I, Robot after viewing either the entire film or an edited clip. Learning was also used to explain conventional measures such as brand memory and brand attitude. Key findings show that 1) brand associations are ...