Cited By
View all- Go YKang HLee JYu MChoi S(2021)Multi-User Drone Flight Training in Mixed RealityElectronics10.3390/electronics1020252110:20(2521)Online publication date: 15-Oct-2021
Alternative interaction techniques for drone-based mission definition: from desktop UI to wearable AR
Article No.: 51, Pages 1 - 5
Abstract
In this paper we address the adaptation of applications for conventional platforms (web, tablets and smartphones) to Augmented Reality (AR) settings. We do this on a specific use case, a tool to help users to define drone missions, which has been implemented with equivalent functionalities both for web-enabled devices and AR wearable devices (in particular, HoloLens). First, a brief description of the application workings is presented as well as the creation process for the mission and the manipulation of its components. Then, we present a preliminary validation with 8 users to analyze the degree of acceptance of the AR version, taking the web user interface as a baseline. Despite the technical limitations of the AR version (mainly related to the device visualization constraints and weight) and the reduction in efficiency (tasks need more time to be completed), several users have expressed their preference for this version. However, with the problem of precision in AR Head Mounted Display context always present, the need to establish new interaction techniques is once more highlighted.
References
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Index Terms
- Alternative interaction techniques for drone-based mission definition: from desktop UI to wearable AR
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Information
Published In
November 2019
462 pages
ISBN:9781450376242
DOI:10.1145/3365610
- General Chair:
- Fabio Paternò,
- Program Chairs:
- Giulio Jacucci,
- Michael Rohs,
- Carmen Santoro
Copyright © 2019 Owner/Author.
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 26 November 2019
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MUM 2019
MUM 2019: 18th International Conference on Mobile and Ubiquitous Multimedia
November 26 - 29, 2019
Pisa, Italy
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Overall Acceptance Rate 190 of 465 submissions, 41%
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View all- Go YKang HLee JYu MChoi S(2021)Multi-User Drone Flight Training in Mixed RealityElectronics10.3390/electronics1020252110:20(2521)Online publication date: 15-Oct-2021
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