HeatSpace: Automatic Placement of Displays by Empirical Analysis of User Behavior

Research output: Contribution to book/anthology/report/proceedingArticle in proceedingsResearchpeer-review


  • Andreas Fender
  • ,
  • David Lindlbauer, TU Berlin
  • ,
  • Philipp Herholz, TU Berlin
  • ,
  • Marc Alexa, TU Berlin
  • ,
  • Jörg Müller

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, position within 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.

Original languageEnglish
Title of host publicationUIST 2017 - Proceedings of the 30th Annual ACM Symposium on User Interface Software and Technology
Number of pages11
Place of publicationNew York, NY, USA
PublisherAssociation for Computing Machinery
Publication year20 Oct 2017
ISBN (print)978-1-4503-4981-9
ISBN (Electronic)9781450349819
Publication statusPublished - 20 Oct 2017
Event30th annual ACM symposium on User interface software and technology - Quebec, Canada
Duration: 22 Oct 201725 Oct 2017


Conference30th annual ACM symposium on User interface software and technology
SeriesUIST '17

    Research areas

  • Analyzing user behavior, Display placement, Multi-display environments, display placement, analyzing user behavior

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