Exploring User Feedbacks: The Basis of a Recommender System of Informative Videos for the Elderly

  • David CampeloEmail author
  • Telmo Silva
  • Jorge Abreu
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 813)


Given the popularity of television among older people, technologies based on this device represent a valuable alternative to promote info-inclusion of the senior population, enhancing well-being, autonomy and consequent improving their quality of life. However, to provide a better viewing experience, it is vital to use a personalized approach, which privileges the individual by dynamically learning users’ preferences and interests. In the scope of +TV4E project an Interactive TV (iTV) platform is being developed to provide these citizens with personalized information about public and social services from which they could benefit. This research aims to assess seniors’ preferences by identifying possible explicit and implicit feedbacks, such as up/down voting and amount of video viewed, retrieved from interactions performed within the iTV application. This paper describes the methodology used to define an adequate interaction scheme to learn seniors’ preferences based on these feedbacks, in a participatory and iterative design process, with 14 seniors. Such scheme will support the +TV4E content recommender system in selecting and matching the informative contents with the users’ interests more accurately.


Interactive TV Personalization Recommender systems Seniors Feedbacks Preferences 



The first author would like to thank the Brazilian National Council for Scientific and Technological Development (CNPq) for providing a research productivity scholarship to support his doctoral thesis development (process 204935/2014-8).

The +TV4E project has received funding from Project 3599 – Promover a Produção Científica e Desenvolvimento Tecnológico e a Constituição de Redes Temáticas (3599-PPCDT) and European Commission Funding FEDER (through FCT: Fundação para a Ciência e Tecnologia I.P. under grant agreement no. PTDC/IVC-COM/3206/2014).


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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Digimedia (CIC.DIGITAL)Aveiro UniversityAveiroPortugal

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