Foraging-based optimization of pervasive displays

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.

Description

| openaire: EC/H2020/637991/EU//COMPUTED

Keywords

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

DOI

10.1016/j.pmcj.2019.02.008

Citation

Montoya Freire , M L , Potts , D , Dayama , N R , Oulasvirta , A & Di Francesco , M 2019 , ' Foraging-based optimization of pervasive displays ' , Pervasive and Mobile Computing , vol. 55 , pp. 45-58 . https://doi.org/10.1016/j.pmcj.2019.02.008

Permanent link to this item

https://urn.fi/URN:NBN:fi:aalto-201904022522

Collections

[article-cris] Perustieteiden korkeakoulu / SCI

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