Towards an API for User Attention Prediction in Mobile Notification Overload

  • Alberto Vianna Dias da Silva IFBA/UFBA
  • Vaninha Vieira UFBA
DOI: https://doi.org/10.5753/webmedia.2018.4552

Resumo


Mobile device users receive a lot of notifications per day. Some important notifications may be lost because of notification overloading. For some user, losing a notification can generate serious problems. This work proposes an Application Programming Interface (API) that uses context-awareness and machine learning to predict user attention to support mobile application developers and increases the chances of a important notification to be attended.
Palavras-chave: Mobile notification, Mobile sensing, Context-awareness, User attention prediction, Attention awareness
Publicado
16/10/2018
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DIAS DA SILVA, Alberto Vianna; VIEIRA, Vaninha. Towards an API for User Attention Prediction in Mobile Notification Overload. In: WORKSHOP DE TESES E DISSERTAÇÕES - SIMPÓSIO BRASILEIRO DE SISTEMAS MULTIMÍDIA E WEB (WEBMEDIA), 24. , 2018, Salvador. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2018 . p. 13-17. ISSN 2596-1683. DOI: https://doi.org/10.5753/webmedia.2018.4552.