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SARA: Singapore’s Automated Responsive Assistant, A Multimodal Dialogue System for Touristic Information

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Mobile Web Information Systems (MobiWIS 2014)

Abstract

In this paper we describe SARA, a multimodal dialogue system offering touristic assistance for visitors coming to Singapore. The system is implemented as an Android mobile phone application and provides information about local attractions, restaurants, sightseeing, direction and transportation services. SARA is able to detect the user’s location on a map by using a GPS integrated module and accordingly can provide real-time orientation and direction help. To communicate with SARA users can use speech, text or scanned QR code. Input/output modalities for SARA include natural language in form of speech or text. A short video about the main features of our Android application can be seen at: http://vimeo.com/91620644. Currently, the system supports only English, but we are working towards a multi-lingual input/output support. For test purposes we also created a web version of SARA that can be tested for Chinese and English text input/output at: http://iris.i2r.a-star.edu.sg/StatTour/.

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References

  1. Kabassi, K.: Personalizing recommendations for tourists. Telematics and Informatics 27(1), 51–66 (2010)

    Article  Google Scholar 

  2. Wium, M.: Design and Evaluation of a Personalized Mobile Tourist Application. Master Thesis. Norwegian University of Science and Technology (2010)

    Google Scholar 

  3. Singapore Tourist Board, http://www.stb.gov.sg/

  4. Malaka, R., Zipf, A.: Deep Map – challenging IT research in the framework of a tourist information system. In: Information and Communication Technologies in Tourism 2000, pp. 15–27. Springer (2000)

    Google Scholar 

  5. Raubal, M., Winter, S.: Enriching way finding instructions with local landmarks. In: Egenhofer, M., Mark, D.M. (eds.) GIScience 2002. LNCS, vol. 2478, pp. 243–259. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  6. Dale, R., Geldof, S., Prost, J.: CORAL: Using Natural Language Generation for Navigational Assistance. In: Proceedings of ACSC 2003, Australia, (2003)

    Google Scholar 

  7. Bartie, P., Mackaness, W.: D3.1.2 - The Space-Book City Model. Technical report, The SPACEBOOKProject (FP7/2011-2014 grant agreement no.270019) (2013)

    Google Scholar 

  8. Shroder, C.J., Mackaness, W., Gittings, B.: Giving the Right Route Directions: The Requirements for Pedestrian Navigation Systems. Transactions in GIS, 419–438 (2011)

    Google Scholar 

  9. Dethlefs, N., Cuayahuitl, H.: Hierarchical Reinforcement Learning and Hidden Markov Models for Task-Oriented Natural Language Generation. In: Proc. of ACL (2011)

    Google Scholar 

  10. Janarthanam, S., Lemon, O., Bartie, P., Dalmas, T., Dickinson, A., Liu, X., Mackaness, W., Webber, B.: Evaluating a city exploration dialogue system combining question-answering and pedestrian navigation. In: Proc. ACL (2013)

    Google Scholar 

  11. Ko, J., Murase, F., Mitamura, T., Nyberg, E., Tateishi, M., Akahori, I., Hataoka, N.: CAMMIA: A Context-Aware Spoken Dialog System for Mobile Environments. In: IEEE ASRU Workshop (2005)

    Google Scholar 

  12. Kashioka, H., Misu, T., Mizukami, E., Shiga, Y., Kayama, K., Hori, C., Kawai, H.: Multimodal Dialog System for Kyoto Sightseeing Guide. In: Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (2011)

    Google Scholar 

  13. Webb, N., Webber, B.: Special Issue on Interactive Question Answering: Introduction. Natural Language Engineering 15(1), 1–8 (2009)

    Article  Google Scholar 

  14. Kim, S., Banchs, R.E., Li, H.: Wikipedia-based Kernels for Dialogue Topic Tracking. In: Proceedings of ICASSP (2014)

    Google Scholar 

  15. Banchs, R.E., Li, H.: IRIS: a chat-oriented dialogue system based on the vector space model. In: Proceedings of the ACL 2012 System Demonstrations, pp. 37–42. Association for Computational Linguistics (2012)

    Google Scholar 

  16. Xue, X., Jeon, J., Croft, W.: Retrieval models for question and answer archives. In: Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 475–482 (2008)

    Google Scholar 

  17. Becker, T.: Practical Template-Based Natural Language Generation with TAG. In: Proceedings of the Sixth International Workshop on Tree Adjoining Grammar and Related Frameworks (TAG+6), pp. 101–104 (2002)

    Google Scholar 

  18. Jiang, R.D., Tan, Y.K., Limbu, D.K., Li, H.: Component pluggable dialogue framework and its application to social robots. In: Proc. Int’l Workshop on Spoken Language Dialog Systems (2012)

    Google Scholar 

  19. ISO/IEC 9126 quality standard model, http://www.iso.org/iso/iso_catalogue/catalogue_tc/catalogue_detail.htm?csnumber=39752

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Niculescu, A.I. et al. (2014). SARA: Singapore’s Automated Responsive Assistant, A Multimodal Dialogue System for Touristic Information. In: Awan, I., Younas, M., Franch, X., Quer, C. (eds) Mobile Web Information Systems. MobiWIS 2014. Lecture Notes in Computer Science, vol 8640. Springer, Cham. https://doi.org/10.1007/978-3-319-10359-4_13

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  • DOI: https://doi.org/10.1007/978-3-319-10359-4_13

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-10358-7

  • Online ISBN: 978-3-319-10359-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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