Natural Interaction Techniques for an Unmanned Aerial Vehicle System
| Autor: | Bonifaz Kaufmann, Ekaterina Peshkova, Martin Hitz |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
0209 industrial biotechnology
Vocabulary Ubiquitous computing Computer science business.industry media_common.quotation_subject 05 social sciences ComputerApplications_COMPUTERSINOTHERSYSTEMS Context (language use) Robotics Mobile robot 02 engineering and technology Computer Science Applications 020901 industrial engineering & automation Computational Theory and Mathematics Human–computer interaction 0501 psychology and cognitive sciences Artificial intelligence User interface business 050107 human factors Software User-centered design Gesture media_common |
| Zdroj: | IEEE Pervasive Computing. 16:34-42 |
| ISSN: | 1536-1268 |
| DOI: | 10.1109/mprv.2017.3 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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