Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/34175

TitleHow musical selection impacts the performance of the interaction with the computer
Author(s)Costa, Mickael da
Carneiro, Davide Rua
Dias, Marcelo
Novais, Paulo
KeywordsMusic
Performance
Context acquisition
Human-computer interaction
Issue date2015
PublisherSpringer
JournalStudies in Computational Intelligence
CitationCosta, 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
Abstract(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.
TypeConference paper
URIhttp://hdl.handle.net/1822/34175
ISBN978-3-319-10421-8
DOI10.1007/978-3-319-10422-5_4
ISSN1860-949X
Publisher versionhttp://link.springer.com/chapter/10.1007%2F978-3-319-10422-5_4
Peer-Reviewedyes
AccessOpen access
Appears in Collections:CCTC - Artigos em atas de conferências internacionais (texto completo)

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