Foraging-based optimization of pervasive displays

Maria L. Montoya Freire, Dominic Potts, Niraj Ramesh Dayama, Antti Oulasvirta, Mario Di Francesco

Research output: Contribution to journalArticleScientificpeer-review

7 Citations (Scopus)
223 Downloads (Pure)

Abstract

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.
Original languageEnglish
Pages (from-to)45-58
Number of pages14
JournalPervasive and Mobile Computing
Volume55
DOIs
Publication statusPublished - 1 Apr 2019
MoE publication typeA1 Journal article-refereed

Keywords

  • Information foraging theory
  • Computational design
  • Display foraging
  • Pervasive displays
  • User study
  • Field study

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