Abstract
A group of customers and employees can be recognized as a community, which is a social group sharing common interest or purpose. In order to observe, model, and intervene in actual services, we have to participate in real communities. We present case studies of real services, in which service operations are improved using advanced technologies such as customer modeling using Bayesian networks, latent class analysis, open service field POS, sensor fusion, and visualization.
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References
Ishigaki T, Takenaka T, Motomura Y (2010) Category mining by heterogeneous data fusion using PdLSI model in a retail service. In: Proceedings of IEEE international conference on data mining
Iwasaki T, Mizuno N, Hara K, Motomura Y (2010) User-adapted recommendation of content on mobile devices using Bayesian networks. IEICE Trans Inform Syst E93-D(5):1186–1196
Kurata T (2010) MR Models for practical evidence-based services. In: IEEE/ACM ISMAR 2010 workshop: augmented reality super models
Kurata T, Kourogi M, Ishikawa T, Hyun J, Park A (2010) Service cooperation and co-creative intelligence cycles based on mixed-reality technology. In: Proceedings of the INDIN 2010, pp 967–972
Kurata T, Kourogi M, Okuma T, Ishikawa T, Ueoka R, Tenmoku R, Makita K (2012) Human-based sensing and visualization for service quality control. In: Workshop at CSCW2012 on exploring collaboration in challenging environments
Motomura Y (2001) BAYONET: Bayesian network on neural network, foundation of real-world intelligence. CSLI, California, pp 28–37
Motomura Y (2003) Bayesian network software BayoNet. SICE J Control Meas Syst Integr 42(8):693–694 (In Japanese)
Motomura Y (2010) Large-scale data based modeling in everyday life for service engineering. In: Advanced in applied digital human modeling. CRC press, Boca Raton, FL, pp 576–586
Ono C, Kurokawa M, Motomura Y, Asoh H (2007a) A context-aware movie preference model using a Bayesian network for recommendation and promotion. In: Proceedings of user modeling, LNCS 4511, Springer, pp 257–266
Ono C, Motomura Y, Asoh H (2007b) Context-aware preference handling technologies on mobile devices. J Inform Process Soc Jpn 48(9):989–994 (In Japanese)
Sampson SE (2001) Understanding service businesses: applying principles of the unified services theory, 2nd edn. Wiley, Hoboken, NJ
Takehara M, Tamura S, Tenmoku R, Kurata T, Hayamizu S (2011) The role of speech technology in service-operation estimation. In: Proceedings of the oriental COCOSDA 2011, pp 116–119
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Motomura, Y., Kurata, T., Yamamoto, Y. (2016). Community-Based Participatory Service Engineering: Case Studies and Technologies. In: Kwan, S., Spohrer, J., Sawatani, Y. (eds) Global Perspectives on Service Science: Japan. Service Science: Research and Innovations in the Service Economy. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-3594-9_5
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DOI: https://doi.org/10.1007/978-1-4939-3594-9_5
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