Abstract
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 different types of music may increase or decrease its natural daily degradation.We conclude that the relationship between types of music and its effects is not universal and depends, among other things, on the musical profile 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 profiles and objectives.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Burns, L., Labbé, E., Arke, B., Capeless, K., Cooksey, B., Steadman, A., Gonzales, C.: The effects of different types of music on perceived and physiological measures of stress. Journal of Music Therapy 39(2), 101–116 (2002)
Bunting, M.: Willing Slaves: How the Overwork Culture is Ruling Our Lives. Harper Perennial (2005) ISBN 978-0007163724
Carneiro, D., Castillo, J.C., Novais, P., Fernández-Caballero, A., Neves, J.: Multimodal behavioral analysis for non-invasive stress detection. Expert Systems with Applications 39(18), 13376–13389 (2012)
Carneiro, D.: An Agent-based Architecture for Online Dispute Resolution. PhD Thesis, http://repositorium.sdum.uminho.pt/handle/1822/28773 (accessed in April 2014)
Dembe, A.E., Erickson, J.B., Delbos, R.G., Banks, S.M.: The impact of overtime and long work hours on occupational injuries and illnesses: new evidence from the United States. Occupational and Environmental Medicine 62(9), 588–597 (2005)
Gorn, J.: The effects of music in advertising on choice behavior: A classical conditioning approach. The Journal of Marketing, 94–101 (1982)
Harrington, J.M.: Health effects of shift work and extended hours of work. Occupational and Environmental medicine 58(1), 68–72 (2001)
Hatem, P., Lira, I., Mattos, S.: The therapeutic effects of music in children following cardiac surgery. Jornal de Pediatria 82(3), 186–192 (2006)
Hu, X., Downie, J.S., Laurier, C., Bay, M., Ehmann, A.F.: The 2007 MIREX Audio Mood Classification Task: Lessons Learned. In: ISMIR, pp. 462–467 (September 2008)
Karageorghis, I., Terry, C.: The psychophysical effects of music in sport and exercise: a review. Journal of Sport Behavior 20(1), 54–68 (1997)
Pimenta, A., Carneiro, D., Novais, P., Neves, J.: Monitoring Mental Fatigue through the Analysis of Keyboard and Mouse Interaction Patterns. In: Pan, J.-S., Polycarpou, M.M., Woźniak, M., de Carvalho, A.C.P.L.F., Quintián, H., Corchado, E. (eds.) HAIS 2013. LNCS, vol. 8073, pp. 222–231. Springer, Heidelberg (2013)
Sparks, K., Cooper, C., Fried, Y., Shirom, A.: The effects of hours of work on health: a meta-analytic review. Journal of Occupational and Organizational Psychology 70(4), 391–408 (1997)
Yalch, R., Spangenberg, E.: Effects of store music on shopping behavior. Journal of Consumer Marketing 7(2), 55–63 (1990)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
da Costa, M., Carneiro, D., Dias, M., Novais, P. (2015). How Musical Selection Impacts the Performance of the Interaction with the Computer. In: Camacho, D., Braubach, L., Venticinque, S., Badica, C. (eds) Intelligent Distributed Computing VIII. Studies in Computational Intelligence, vol 570. Springer, Cham. https://doi.org/10.1007/978-3-319-10422-5_4
Download citation
DOI: https://doi.org/10.1007/978-3-319-10422-5_4
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-10421-8
Online ISBN: 978-3-319-10422-5
eBook Packages: EngineeringEngineering (R0)