Utilização de Redes Bayesianas para Avaliação da Qualidade de Experiência do Usuário: Um Estudo de Caso Com Segunda Tela
Abstract
This article presents a study on evaluation of the quality of the user experience from the use of a second screen application that interacts with television programming. For this, it was employed a model of computational intelligence – Bayesian network – to correlate the main factors that influence the user experience, these being: human factors, and system context. As a result, a discussion that aims to promote the improvement of user experience through criteria to assess applications, either during the design phase or during its operation.
References
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Piccolo, L., Bonadia, G., and Tambascia, C. (2010). Aplicação de técnicas e métodos de ihc para avaliar a qoe de serviços de tv interativa. In Proceedings of the IX Symposium on Human Factors in Computing Systems, pages 225–230. Brazilian Computer Society.
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Seruffo, M., Miranda, F., Oliveira, E., and Malcher, A. (2015). Dengue fever: Prevention through information. TVX 2015.
Soskic, N. (2014). Second screen user experience: A new digital television frontier. Information and Communication Technology, Electronics and Microelectronics (MIPRO), pages 1057–1060.
Xenos, M. (2004). Prediction and assessment of student behaviour in open and distance education in computers using bayesian networks. Computers & Education, 43(4):345–359.
Yong, L. (2013). User experience evaluation methods for mobile devices. In Innovative Computing Technology (INTECH), 2013 Third International Conference on, pages 281–286. IEEE.
Zhou, T. (2013). The effect of flow experience on user adoption of mobile tv. Behaviour & Information Technology, 32(3):263–272.
Zhu, Y., Heynderickx, I., and Redi, J. (2015). Understanding the role of social context and user factors in video quality of experience. Computers in Human Behavior, 49:412–426.
Charlton, G. (2010). Why are women so intelligent? the effect of maternal iq on childhood mortality may be a relevant evolutionary factor. Medical hypotheses, 74(3):401–402.
Copa (2014). Copa do mundo lidera estatísticas de 2014 do twitter e do facebook. http://www.copa2014.gov.br/pt-br/noticia/copa-do-mundo-lidera-estatisticasde-2014-do-twitter-e-do-facebook. Acesso em: 10 de abril 2015.
Da, M., Wei, W., Hu, H., and Guan, J. (2011). The application of bayesian classification theories in distance education system. International Journal of Modern Education and Computer Science, 3(4):9.
ETSI (2009). Human factors (hf); quality of experience (qoe) requirements for real-time communication services. Technical Report TR 102 633.
Faulkner, L. (2003). Beyond the five-user assumption: Benefits of increased sample sizes in usability testing. Behavior Research Methods, Instruments, & Computers, 35(3):379–383.
Ferrari, F. (2012). O estudo da entropia de transferência em sistemas dinâmicos discretos. Master’s thesis, Mestrado em Ciências, Universidade Estadual de Ponta Grossa, Paraná.
Geerts, D., Katrien, M., Istvan, K., An, J., Jan, B., Wout, J., Luc, M., and Lieven, M. (2010). Linking an integrated framework with appropriate methods for measuring qoe. In Quality of Multimedia Experience (QoMEX), 2010 Second International Workshop on, pages 158–163. IEEE.
IpsosMediact (2014). Facebook reach and usage. Estudo comissionado pelo Facebook. ITU-T (2007). Definition of quality of experience. Technical Report SG12 109rev2, Geneva, Switzerland.
Menkovski, V., Exarchakos, G., Liotta, A., and Antonio, S. (2011). Managing quality of experience on a commercial mobile tv platform. International Journal on Advances in Telecommunications Volume 4, Number 1 & 2, 2011.
Norman, D. (2004). Why we love (or hate) everyday things. Emotional Design.
Piccolo, L., Bonadia, G., and Tambascia, C. (2010). Aplicação de técnicas e métodos de ihc para avaliar a qoe de serviços de tv interativa. In Proceedings of the IX Symposium on Human Factors in Computing Systems, pages 225–230. Brazilian Computer Society.
Sarabando, A. (2011). Um estudo do comportamento de redes bayesianas no prognóstico da sobrevivência no cancro da próstata. Master’s thesis, Faculdade de Ciências e Medicina, Universidade de Porto, Portugal.
Seruffo, M., Miranda, F., Oliveira, E., and Malcher, A. (2015). Dengue fever: Prevention through information. TVX 2015.
Soskic, N. (2014). Second screen user experience: A new digital television frontier. Information and Communication Technology, Electronics and Microelectronics (MIPRO), pages 1057–1060.
Xenos, M. (2004). Prediction and assessment of student behaviour in open and distance education in computers using bayesian networks. Computers & Education, 43(4):345–359.
Yong, L. (2013). User experience evaluation methods for mobile devices. In Innovative Computing Technology (INTECH), 2013 Third International Conference on, pages 281–286. IEEE.
Zhou, T. (2013). The effect of flow experience on user adoption of mobile tv. Behaviour & Information Technology, 32(3):263–272.
Zhu, Y., Heynderickx, I., and Redi, J. (2015). Understanding the role of social context and user factors in video quality of experience. Computers in Human Behavior, 49:412–426.
Published
2016-07-04
How to Cite
DA COSTA, Joahannes Bruno Dias; SERUFFO, Marcos César da Rocha; ELIASQUEVICI, Marianne Kogut; SOUZA, Daniel da Silva.
Utilização de Redes Bayesianas para Avaliação da Qualidade de Experiência do Usuário: Um Estudo de Caso Com Segunda Tela. In: INTEGRATED SOFTWARE AND HARDWARE SEMINAR (SEMISH), 43. , 2016, Porto Alegre.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2016
.
p. 1680-1691.
ISSN 2595-6205.
DOI: https://doi.org/10.5753/semish.2016.9518.
