TagTeam: Towards Wearable-Assisted, Implicit Guidance for Human--Drone Teams
Human-Computer Interaction
2022-09-08 v1
Abstract
The availability of sensor-rich smart wearables and tiny, yet capable, unmanned vehicles such as nano quadcopters, opens up opportunities for a novel class of highly interactive, attention-shared human--machine teams. Reliable, lightweight, yet passive exchange of intent, data and inferences within such human--machine teams make them suitable for scenarios such as search-and-rescue with significantly improved performance in terms of speed, accuracy and semantic awareness. In this paper, we articulate a vision for such human--drone teams and key technical capabilities such teams must encompass. We present TagTeam, an early prototype of such a team and share promising demonstration of a key capability (i.e., motion awareness).
Keywords
Cite
@article{arxiv.2208.05410,
title = {TagTeam: Towards Wearable-Assisted, Implicit Guidance for Human--Drone Teams},
author = {Kasthuri Jayarajah and Aryya Gangopadhyay and Nicholas Waytowich},
journal= {arXiv preprint arXiv:2208.05410},
year = {2022}
}