Autonomous and context-aware scheduling for public displays using place-based tag clouds

Abstract

Public displays are an increasingly ubiquitous element of our socio-digital landscape with a strong potential to become key building blocks for AmI. For that purpose, they should have the ability to dynamically and autonomously select content from web sources according to the relevance of their content to the Continuous flow of social settings around the display. In this paper, we explore the creation of a public display system that evaluates the relevance of content from web sources and selects the most relevant content according to a dynamic tag cloud that incorporates static place definitions, but is also sensitive to the people around the display. We have developed and evaluate a dynamic content selection system based on those principles.. The results show that place visitors recognize the sensitivity of the system to their demands and that a place tag cloud can provide an important element for the interpretation of place and for the combination of the interests expressed by the place owner and the multiple place visitors.