Drones are being used in many industries for a variety of applications, including inspecting bridges, surveying farm land, and delivering cargo. Automating these kinds of scenarios requires more than following a sequence of GPS waypoints; they require integrating on-device hardware with real-time analysis to provide feedback and control to the drone. Currently, implementing these kinds of advanced scenarios is a complex task, requiring skilled software engineers programming with drone APIs. We envision an alternate model to enable drone operators to orchestrate advanced behaviors using a card-based approach. We describe the design of our card-based programming model, position it relative to other visual programming metaphors, share results from our paper prototype user study, and discuss our learnings from its implementation. Results suggest that a wide range of scenarios can be implemented with moderate mental effort and learning, balanced by intuitiveness and engagement.
@article{arxiv.1804.08458,
title = {CardKit: A Card-Based Programming Framework for Drones},
author = {Saad Ismail and Justin G. Manweiler and Justin D. Weisz},
journal= {arXiv preprint arXiv:1804.08458},
year = {2018}
}