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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6422))

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Abstract

In recent years content aware mobile application are boomed. Both, research activities and business focus are kept on the information about physical space understand as proximity (Bluetooth), geographical location (GPS) and movement (accelerometer). Growing computational power of mobile devices allow researchers to make a step further and design application which “feel what their user feels”. The paper promotes an idea of the emotional aware mobile application as a natural next step in content awareness. A novel framework for developing emotion aware mobile applications is presented and possible sources of emotion rich information in mobile environment are identified and pointed out. Information about user’s mood can be used in a variety of application. Some of them like filtering information or tracking stressing situation are described. As a proof-of-concept two application were created.

This research has been supported by the Polish Ministry of Science grant 69/N-SINGAPUR/2007/0.

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References

  1. Dey, A.K.: Context-aware computing: The CyberDuck project. In: AAAI 1998 Spring Symposium on Intelligent Environments, Palo Alto, pp. 51–54. AAAI Press, Menlo Park (1998)

    Google Scholar 

  2. Mizzaro, S., Nazzi, E., Vassena, L.: Retrieval of context-aware applications on mobile devices: How to evaluate? In: IliX 2008, Information in Context. Information in Context (2008)

    Google Scholar 

  3. Oulasvirta, A.: Finding Meaningful Uses for Context-Aware Technologies: The Humanistic Research Strategy. In: CHI 2004 (2004)

    Google Scholar 

  4. Sanchez, J.M., Cano, J.C., Calafate, C.T., Manzoni, P.: BlueMall: A Bluetoothbased Advertisement System for Commercial Areas. In: PM2HW2N 2008, Vancouver (2008)

    Google Scholar 

  5. Nakanishi, Y., Kitaoka, N., Ohyama, M., Hakozaki, K.: Estimating Communication Context throught Location Information and Schedule Information - A Study with Home Office Workers. In: CHI 2002 (2002)

    Google Scholar 

  6. Korpipaa, P., Hakkila, J., Kela, J., Ronkainen, S., Kansala, I.: Utilising context ontology in mobile device application personalisation. In: MUM 2004: Proceedings of the 3rd International Conference on Mobile and Ubiquitous Multimedia, pp. 133–140. ACM, New York (2004)

    Google Scholar 

  7. Philip, J., et al.: The General Inquirer: A Computer Approach to Content Analysis. The MIT Press, Cambridge (1966)

    Google Scholar 

  8. Geven, A., Tscheligi, M., Noldus, L.: Measuring Mobile Emotions: Measuring the Impossible? In: MobileHCI 2009: Proc. of the 11th Int. Conference on Human-Computer Interaction with Mobile Devices and Services (2009)

    Google Scholar 

  9. Mody, R.N., Willis, K.S., Kerstein, R.: WiMo: location-based emotion tagging. In: MUM 2009: Proceedings of the 8th International Conference on Mobile and Ubiquitous Multimedia, pp. 1–4. ACM, New York (2009)

    Google Scholar 

  10. Tsai, T., Chen, J., Lo, W.: Design and Implementation of Mobile Personal Emotion Monitoring System. In: MDM 2009: Proceedings of the 2009 Tenth International Conference on Mobile Data Management: Systems, Services and Middleware, pp. 430–435. IEEE Computer Society, Los Alamitos (2009)

    Chapter  Google Scholar 

  11. Isomursu, M., Tähti, M., Väinämö, S., Kuutti, K.: Experimental evaluation of five methods for collecting emotions in field settings with mobile applications. Int. J. Human-Computer Studies 65, 404–418 (2007)

    Article  Google Scholar 

  12. Yang, B., Lugger, M.: Emotion recognition from speech signals using new harmony features. Signal Processing 90, 1415–1423 (2010)

    Article  MATH  Google Scholar 

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Nielek, R., Wierzbicki, A. (2010). Emotion Aware Mobile Application. In: Pan, JS., Chen, SM., Nguyen, N.T. (eds) Computational Collective Intelligence. Technologies and Applications. ICCCI 2010. Lecture Notes in Computer Science(), vol 6422. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16732-4_14

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  • DOI: https://doi.org/10.1007/978-3-642-16732-4_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-16731-7

  • Online ISBN: 978-3-642-16732-4

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