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https://hdl.handle.net/1822/34175
Título: | How musical selection impacts the performance of the interaction with the computer |
Autor(es): | Costa, Mickael da Carneiro, Davide Rua Dias, Marcelo Novais, Paulo |
Palavras-chave: | Music Performance Context acquisition Human-computer interaction |
Data: | 2015 |
Editora: | Springer |
Revista: | Studies in Computational Intelligence |
Citação: | Costa, M., Carneiro, D., Dias, M., & Novais, P. (2015). How Musical Selection Impacts the Performance of the Interaction with the Computer. Intelligent Distributed Computing Viii, 570, 19-28. doi: 10.1007/978-3-319-10422-5_4 |
Resumo(s): | In this busy society of ours people push their limits to work better and more in order to remain competitive with their peers. Nonetheless, working longer hours does not necessarily improves productivity nor performance. In order to prevent the negative consequences of this increasing trend, the evolution of performance throughout the day of work should be more closely monitored. This could avoid undesirable states or even breakdowns, which have social and economical implications. In this work we measure user performance through their interaction with the computer. We monitor its evolution during a day of work and how di erent types of music may increase or decrease its natural daily degradation. We conclude that the relationship between types of music and its e ects is not universal and depends, among other things, on the musical pro le of the individual. A prototype for a distributed music recommendation service is presented that suggests musics at an individual and group level, based on user musical pro les and objectives. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/34175 |
ISBN: | 978-3-319-10421-8 |
DOI: | 10.1007/978-3-319-10422-5_4 |
ISSN: | 1860-949X |
Versão da editora: | http://link.springer.com/chapter/10.1007%2F978-3-319-10422-5_4 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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2014 - CI Springer IDC CCDN.pdf | 478,6 kB | Adobe PDF | Ver/Abrir |