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Smart Content Selection for Public Displays in Ambient Intelligence Environments

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  • Fernando Reinaldo Ribeiro

    (Department of Informatics, Polytechnic Institute of Castelo Branco, Castelo Branco, Portugal)

  • Rui José

    (Department of Information Systems, University of Minho, Azurém Campus, Guimarães, Portugal)

Abstract

A public display that is able to present the right information at the right time is a very compelling concept. However, realising or even approaching this ability to autonomously select appropriate content based on some interpretation of the surrounding social context represents a major challenge. This article provides an overview of the key challenges involved and an exploration of some of the main alternatives available. It also describes a novel place-based content adaptation system that autonomously selects from web sources the content deemed more relevant according to a dynamic place model. This model is based on a tag cloud that combines content suggestions expressed by multiple place visitors with those expressed by the place owner. Evaluation results have shown that a place tag cloud can provide a valuable approach to this issue and that people recognize and understand the sensitivity of the system to their demands.

Suggested Citation

  • Fernando Reinaldo Ribeiro & Rui José, 2013. "Smart Content Selection for Public Displays in Ambient Intelligence Environments," International Journal of Ambient Computing and Intelligence (IJACI), IGI Global, vol. 5(2), pages 35-55, April.
    • Handle: RePEc:igg:jaci00:v:5:y:2013:i:2:p:35-55
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    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jaci.2013040103
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    1. Leal Filho, Walter & Wall, Tony & Rui Mucova, Serafino Afonso & Nagy, Gustavo J. & Balogun, Abdul-Lateef & Luetz, Johannes M. & Ng, Artie W. & Kovaleva, Marina & Safiul Azam, Fardous Mohammad & Alves,, 2022. "Deploying artificial intelligence for climate change adaptation," Technological Forecasting and Social Change, Elsevier, vol. 180(C).

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