Issue No. 01 - Jan.-Mar. (2017 vol. 16)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MPRV.2017.3
Ekaterina Peshkova , Alpen-Adria-Universität Klagenfurt, Klagenfurt, Austria
Martin Hitz , Alpen-Adria-Universität Klagenfurt, Klagenfurt, Austria
Bonifaz Kaufmann , Internet of Things 40 Systems GmbH, Klagenfurt, Austria
This article provides an overview of existing interaction techniques for controlling unmanned aerial vehicle (UAV) systems. This work focuses on user interfaces with nontraditional input modalities, such as gestures, speech, and gaze direction. Although the authors analyze interaction with UAV systems, most of the findings can be applied to human-robot interaction in general. The authors report on interaction techniques employed to control single as well as multiple UAV systems, define intuitiveness of input vocabularies in the considered context, and introduce a new classification scheme based on the mental models underlying the interaction vocabulary. This article is part of a special issue on drones.
Cognitive science, Mobile robots, User centered design, User interfaces, Unmanned aerial vehicles
E. Peshkova, M. Hitz and B. Kaufmann, "Natural Interaction Techniques for an Unmanned Aerial Vehicle System," in IEEE Pervasive Computing, vol. 16, no. 1, pp. 34-42, 2017.