[2208.05410] TagTeam: Towards Wearable-Assisted, Implicit Guidance for Human--Drone Teams
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Computer Science > Human-Computer Interaction

arXiv:2208.05410 (cs)
[Submitted on 10 Aug 2022]

Title:TagTeam: Towards Wearable-Assisted, Implicit Guidance for Human--Drone Teams

Authors:Kasthuri Jayarajah, Aryya Gangopadhyay, Nicholas Waytowich
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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).
Subjects: Human-Computer Interaction (cs.HC)
Cite as: arXiv:2208.05410 [cs.HC]
  (or arXiv:2208.05410v1 [cs.HC] for this version)
  https://doi.org/10.48550/arXiv.2208.05410
Related DOI: https://doi.org/10.1145/3556560.3560715

Submission history

From: Kasthuri Jayarajah [view email]
[v1] Wed, 10 Aug 2022 16:00:53 UTC (5,779 KB)
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