Search Results for author:
Found 6 papers, 1 papers with code
SalienTrack: providing salient information for semi-automated self-tracking feedback with model explanations
Finally, we created interfaces to present salient information and conducted a formative user study to gain insights about how SalienTrack could be integrated into an interface for reflection.
Impact of Explanation on Trust of a Novel Mobile Robot
Participants who received an explanation of the robot's behavior were more likely to focus on their own task at the risk of neglecting their robot supervision task during the first trials of the robot's behavior compared to those who did not receive an explanation.
Understanding Convolutional Networks with APPLE : Automatic Patch Pattern Labeling for Explanation
With the success of deep learning, recent efforts have been focused on analyzing how learned networks make their classifications.
UAV and Service Robot Coordination for Indoor Object Search Tasks
In this paper, we propose the concept of coordination between CoBot and the Parrot ARDrone 2. 0 to perform service-based object search tasks, in which CoBot localizes and navigates to the general search areas carrying the ARDrone and the ARDrone searches locally for objects.
Towards Visual Explanations for Convolutional Neural Networks via Input Resampling
The predictive power of neural networks often costs model interpretability.
Obstacle Avoidance through Deep Networks based Intermediate Perception
Second, predict the trajectory from the depth and normal.
