at Google ScholarTitle data
Fender, Andreas ; Lindlbauer, David ; Herholz, Philipp ; Alexa, Marc ; Müller, Jörg:
HeatSpace : Automatic Placement of Displays by Empirical Analysis of User Behavior.
In:
Proceedings of the 30th Annual ACM Symposium on User Interface Software and Technology. -
New York
: ACM
,
2017
. - pp. 611-621
ISBN 978-1-4503-4981-9
DOI: https://doi.org/10.1145/3126594.3126621
Abstract in another language
We present HeatSpace, a system that records and empirically analyzes user behavior in a space and automatically suggests positions and sizes for new displays. The system uses depth cameras to capture 3D geometry and users’
perspectives over time. To derive possible display placements, it calculates volumetric heatmaps describing geometric persistence and planarity of structures inside the space. It evaluates visibility of display poses by calculating a volumetric heatmap describing occlusions, positionwithin users’ field of view, and viewing angle. Optimal display size is calculated through a heatmap of average viewing distance. Based on the heatmaps and user constraints we sample the space of valid display placements and jointly optimize their positions. This can be useful when installing displays in multi-display environments such as meeting rooms, offices, and train stations.
Further data
| Item Type: | Article in a book |
|---|---|
| Refereed: | Yes |
| Institutions of the University: | Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Applied Computer Science VIII > Chair Applied Computer Science VIII - Univ.-Prof. Dr. Jörg Müller Faculties Faculties > Faculty of Mathematics, Physics und Computer Science Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Applied Computer Science VIII |
| Result of work at the UBT: | No |
| DDC Subjects: | 000 Computer Science, information, general works |
| Date Deposited: | 15 Jan 2019 10:51 |
| Last Modified: | 15 Jan 2019 10:51 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/42124 |