By Antoine Clarinval & Bruno Dumas (UNamur), Benoît Duhoux (UCLouvain)
In recent years, public displays have been studied as a way to foster citizen participation.
However, their surroundings and users are prone to high variability, which makes it tedious to accommodate different contexts with an optimal participation experience.
In this paper, we propose adaptive public displays as a lead for solution in tackling this issue. From a review of the motivators and barriers affecting citizen's interaction with public displays we defined a process model destined to serve as a guide for designers of such systems.
This article will presented to the 31e conférence Francophone sur l'Interaction Homme-Machine (IHM 2019), Grenoble - France, 10-13 December 2019
About Authors :
Antoine Clarinval is a researcher at the computer science faculty of the University of Namur (Belgium). He currently works on how public displays and visualization can be used to engage citizens in the smart city.
Benoît Duhoux is a teaching assistant and researcher in INGI, at UCLouvain in Belgium. He is member of the RELEASeD Laboratory. He currently works on how we can integrate dynamic user interface adaptation into context-oriented software development.
Bruno Dumas, Professor of Computer Science, UNamur.