Foraging

Foraging-based Optimization of Pervasive Displays.

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The article addresses a key challenge in the design of content for pervasive displays: how to engage passers-by who have limited time and attention? To achieve this, we apply a novel approach for computational design of interesting display content using tiled layouts. We present a model of display foraging based on information foraging theory to describe the behavior of a rational but time-limited user looking at a display. Accordingly, our work aims to maximize the information gain for tiled displays. This complex problem is divided into two phases: (1) generating designs of tiled layouts and (2) assigning content options to individual tiles based on what predicted by display foraging. Accordingly, a proof-of-concept system was realized then evaluated computationally and empirically with a control study and field study. The results show that the proposed system can engage significantly more people than typical digital signage.

PMC'19 Journal Paper

  • Citation: Maria L. Montoya Freire, Dominic Potts, Niraj Ramesh Dayama, Antti Oulasvirta, Mario Di Francesco, Foraging-based optimization of pervasive displays, Pervasive and Mobile Computing, Volume 55, 2019, Pages 45-58, ISSN 1574-1192, https://doi.org/10.1016/j.pmcj.2019.02.008
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