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Beaming into the News: A System for and Case Study of Tele-Immersive Journalism

Kishore, S; Navarro, X; Dominguez, E; De La Pena, N; Slater, M; (2018) Beaming into the News: A System for and Case Study of Tele-Immersive Journalism. IEEE Computer Graphics and Applications , 38 (2) pp. 89-101. 10.1109/MCG.2017.2801407. Green open access

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Abstract

We show how a combination of virtual reality and robotics can be used to beam a physical representation of a person to a distant location, and describe an application of this system in the context of journalism. Full body motion capture data of a person is streamed and mapped in real time, onto the limbs of a humanoid robot present at the remote location. A pair of cameras in the robots eyes stream stereoscopic video back to the HMD worn by the visitor, and a two-way audio connection allows the visitor to talk to people in the remote destination. By fusing the multisensory data of the visitor with the robot, the visitors consciousness is transformed to the robots body. This system was used by a journalist to interview a neuroscientist and a chef 900 miles distant, about food for the brain, resulting in an article published in the popular press.

Type: Article
Title: Beaming into the News: A System for and Case Study of Tele-Immersive Journalism
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/MCG.2017.2801407
Publisher version: https://doi.org/10.1109/MCG.2017.2801407
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Humanoid robots, Telepresence, Robot sensing systems, Real-time systems, Tracking, Streaming media, Virtual reality
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/10073409
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