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  Towards a Symbiotic Human-Machine Depth Sensor: Exploring 3D Gaze for Object Reconstruction

Hirzle, T., Gugenheimer, J., Geiselhart, F., Bulling, A., & Rukzio, E. (2018). Towards a Symbiotic Human-Machine Depth Sensor: Exploring 3D Gaze for Object Reconstruction. In UIST'18 (pp. 114-116). New York, NY: ACM. doi:10.1145/3266037.3266119.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0002-8613-1 Version Permalink: http://hdl.handle.net/21.11116/0000-0002-8615-F
Genre: Conference Paper
Latex : Towards a Symbiotic Human-Machine Depth Sensor: {E}xploring {3D} Gaze for Object Reconstruction

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 Creators:
Hirzle, Teresa1, Author
Gugenheimer, Jan1, Author
Geiselhart, Florian1, Author
Bulling, Andreas1, Author              
Rukzio, Enrico1, Author
Affiliations:
1External Organizations, ou_persistent22              

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Language(s): eng - English
 Dates: 201720182018
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: -
 Identifiers: BibTex Citekey: hirzle18_uist
DOI: 10.1145/3266037.3266119
 Degree: -

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Title: 31st Annual Symposium on User Interface Software and Technology
Place of Event: Berlin, Germany
Start-/End Date: 2018-10-14 - 2018-10-17

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Title: UIST'18
  Abbreviation : UIST 2018
  Subtitle : Adjunct Publication of the 31st Annual ACM Symposium on User Interface Software and Technology
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: New York, NY : ACM
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 114 - 116 Identifier: ISBN: 978-1-4503-5949-8