Applied Intelligence

, Volume 38, Issue 4, pp 620–640 | Cite as

Bringing context-aware access to the web through spoken interaction

  • David GriolEmail author
  • Javier Carbo
  • José Manuel Molina


The web has become the largest repository of multimedia information and its convergence with telecommunications is now bringing the benefits of web technology to hand-held devices. To optimize data access using these devices and provide services which meet the user needs through intelligent information retrieval, the system must sense and interpret the user environment and the communication context. In addition, natural spoken conversation with handheld devices makes possible the use of these applications in environments in which the use of GUI interfaces is not effective, provides a more natural human-computer interaction, and facilitates access to the web for people with visual or motor disabilities, allowing their integration and the elimination of barriers to Internet access. In this paper, we present an architecture for the design of context-aware systems that use speech to access web services. Our contribution focuses specifically on the use of context information to improve the effectiveness of providing web services by using a spoken dialog system for the user-system interaction. We also describe an application of our proposal to develop a context-aware railway information system, and provide a detailed evaluation of the influence of the context information in the quality of the services that are supplied.


Context-aware systems Spoken dialog systems User adaptation Web interfaces Systems evaluation 



Research funded by projects CICYT TIN2011-28620-C02-01, CICYT TEC 2011-28626-C02-02, CAM CONTEXTS (S2009/TIC-1485), and DPS2008-07029-C02-02.


  1. 1.
    Afsarmanesh H, Masís VG, Hertzberger L (2003) Virtual community support in telecare. In: Proc of the 4th IFIP working conference on virtual enterprises (PRO-VE’03), pp 211–220 Google Scholar
  2. 2.
    Ai H, Raux A, Bohus D, Eskenazi M, Litman D (2007) Comparing spoken dialog corpora collected with recruited subjects versus real users. In: Proc of the 8th SIGdial workshop, pp 124–131 Google Scholar
  3. 3.
    Almeida DD, Baptista CDS, Silva ED, Campelo C, Figueiredo HD, Lacerda Y (2006) A context-aware system based on service-oriented architecture. In: Proc of the 20th int conference on advanced information networking and applications (AINA’06), pp 205–210 Google Scholar
  4. 4.
    Athanasopoulos D, Zarras A, Issarny V, Pitoura E, Vassiliadis P (2008) CoWSAMI: interface-aware context gathering in ambient intelligence environments. Pervasive Mob Comput 4(3):360–389 CrossRefGoogle Scholar
  5. 5.
    Bressan S, Goh C, Levina N, Madnick S, Shah A, Siegel M (2000) Context knowledge representation and reasoning in the context interchange system. Int J Appl Intell 13:165–180 CrossRefGoogle Scholar
  6. 6.
    Brown B, Randell R (2004) Building a context sensitive telephone: some hopes and pitfalls for context sensitive computing. Comput Support Coop Work 13:329–345 CrossRefGoogle Scholar
  7. 7.
    Chen I, Yang S, Zhang J (2006) Ubiquitous provision of context aware web services. In: Proc of IEEE int conference on services computing, pp 60–68 Google Scholar
  8. 8.
    Dey A, Abowd G (2000) Towards a better understanding of context and context-awareness. In: Proc of the 2000 conference on human factors in computer systems (CHI’00), pp 304–307 Google Scholar
  9. 9.
    Felfernig A, Friedrich G, Isak K, Shchekotykhin K, Teppan E, Jannach D (2009) Automated debugging of recommender user interface descriptions. Int J Appl Intell 31:1–14 CrossRefGoogle Scholar
  10. 10.
    Fikes R, Kehler T (1985) The role of frame-based representation in knowledge representation and reasoning. Commun ACM 28:904–920 CrossRefGoogle Scholar
  11. 11.
    Glass J, Flammia G, Goodine D, Phillips M, Polifroni J, Sakai S, Seneff S, Zue V (1995) Multilingual spoken-language understanding in the MIT voyager system. Speech Commun 17:1–18 CrossRefGoogle Scholar
  12. 12.
    González-Rodríguez M, Manrubia J, Vidau A, González Gallego M (2009) Improving accessibility with user-tailored interfaces. Int J Appl Intell 30:65–71 CrossRefGoogle Scholar
  13. 13.
    Griol D, Hurtado LF, Segarra E, Sanchis E (2008) A statistical approach to spoken dialog systems design and evaluation. Speech Commun 50(8–9):666–682 CrossRefGoogle Scholar
  14. 14.
    Griol D, Callejas Z, López-Cózar R (2009) Acquiring and evaluating a dialog corpus through a dialog simulation technique. In: Proc of the 9th SIGdial workshop, pp 326–332 Google Scholar
  15. 15.
    Griol D, Sanchez-Pi N, Carbó J, Molina J (2009) Context-aware approach for orally accessible web services. In: Proc of IEEE/WIC/ACM international joint conference on web intelligence and intelligent agent technology, pp 171–174 CrossRefGoogle Scholar
  16. 16.
    Han B, Jia W, Shen J, Yuen M (2008) Context-awareness in mobile web services. In: Proc of the 2nd int symposium on parallel and distributed processing and applications (ISPA 2004), pp 519–528 Google Scholar
  17. 17.
    Henricksen K, Indulska J, Rakotonirainy A (2002) Modeling context information in pervasive computing systems. In: Proc of the 1st int conference on pervasive computing, pp 167–180 Google Scholar
  18. 18.
    Iglesias A, Martínez P, Aler R, Fernández F (2009) Learning teaching strategies in an adaptive and intelligent educational system through reinforcement learning. Int J Appl Intell 31:89–106 CrossRefGoogle Scholar
  19. 19.
    Kang H, Suh E, Yoo K (2008) Packet-based context aware system to determine information system user’s context. Expert Syst Appl 35:286–300 zbMATHCrossRefGoogle Scholar
  20. 20.
    Keidl M, Kemper A (2004) Towards context-aware adaptable web services. In: Proc of the 13th international world wide web conference (WWW’04), pp 55–65 Google Scholar
  21. 21.
    Kerschberg L, Weishar D (2000) Conceptual models and architectures for advanced information systems. Int J Appl Intell 13:149–164 CrossRefGoogle Scholar
  22. 22.
    Ko J, Murase F, Mitamura T, Nyberg E, Tateishi M, Akahori I (2006) Context-aware dialog strategies for multimodal mobile dialog systems. In: Proc of AAAI international workshop on modeling and retrieval of context, pp 7–12 Google Scholar
  23. 23.
    Lech T, Wienhofen L (2005) AmbieAgents: a scalable infrastructure for mobile and context-aware information services. In: Proc of the 4th int joint conference on autonomous agents and multiagent systems (AAMAS’05), pp 625–631 CrossRefGoogle Scholar
  24. 24.
    Liu J, Seneff S, Zue V (2010) Dialogue-Oriented review summary generation for spoken dialogue recommendation systems. In: Proc of human language technologies: the 2010 annual conference, pp 64–72. of the North American Chapter of the ACL Google Scholar
  25. 25.
    López-Cózar R, Araki M (2005) Spoken, multilingual and multimodal dialogue systems: development and assessment. Wiley, New York Google Scholar
  26. 26.
    López-Cózar R, la Torre AD, Segura J, Rubio A, Sánchez V (2002) Testing dialogue systems by means of automatic generation of conversations. Interact Comput 14(5):521–546 CrossRefGoogle Scholar
  27. 27.
    Matsumura K, Ishida T, Murakami Y, Fujishiro Y (2006) Situated web service: context-aware approach to high-speed web service communication. In: Proc of IEEE int conference on web services (ICWS’06), pp 673–680 Google Scholar
  28. 28.
    Melin H, Sandell A, Ihse M (2001) CTT-bank: a speech controlled telephone banking system—an initial evaluation. In: TMH quarterly progress and status report (TMH-QPSR), vol 1, pp 1–27 Google Scholar
  29. 29.
    Minsky M (1975) The psychology of computer vision. McGraw-Hill, New York, pp 211–277. Chapter: A framework for representing knowledge Google Scholar
  30. 30.
    Moubaiddin A, Obeid N (2009) Partial information basis for agent-based collaborative dialogue. Int J Appl Intell 30:142–167 CrossRefGoogle Scholar
  31. 31.
    Mäntyjärvia J, Seppänen T (2003) Adapting applications in handheld devices using fuzzy context information. Interact Comput 15(4):521–538 CrossRefGoogle Scholar
  32. 32.
    Naguib H, Coulouris G, Mitchell S (2001) Middleware support for context-aware multimedia applications. In: Proc of the 3rd int working conference on new developments in distributed applications and interoperable systems, pp 9–22 Google Scholar
  33. 33.
    Newcomer E, Lomow G (2005) Service-oriented architecture with web services. Addison-Wesley, Reading Google Scholar
  34. 34.
    Nieto-Carvajal I, Botía J, Ruiz P, Gómez-Skarmeta A (2004) Implementation and evaluation of a location-aware wireless multi-agent system. In: Proc of the int conference on embedded and ubiquitous computing (EUC’04), pp 528–537 CrossRefGoogle Scholar
  35. 35.
    Nihei K (2004) Context sharing platform. NEC J Adv Technol 1(3):200–204 Google Scholar
  36. 36.
    O’Shea K (2012) An approach to conversational agent design using semantic sentence similarity. Int J Appl Intell. doi: 10.1007/s10489-012-0349-9 Google Scholar
  37. 37.
    Osland P, Viken B, Solsvik F, Nygreen G, Wedvik J, Myklbust S (2006) Enabling context-aware applications. In: Proc of the int conference on convergence in services, media and networks (ICIN’06), pp 1–6 Google Scholar
  38. 38.
    Paek T, Pieraccini R (2008) Automating spoken dialogue management design using machine learning: an industry perspective. Speech Commun 50:716–729 CrossRefGoogle Scholar
  39. 39.
    Partala T, Kallinen A (2012) Understanding the most satisfying and unsatisfying user experiences: emotions, psychological needs, and context. Interact Comput 24(1):25–34 CrossRefGoogle Scholar
  40. 40.
    Pieraccini R, Rabiner L (2012) The voice in the machine: building computers that understand speech. MIT Press, Cambridge Google Scholar
  41. 41.
    Prezerakos G, Tselikas N, Cortese G (2007) Model-driven composition of context-aware web services using contextUML and aspects. In: Proc of IEEE int conference on web services (ICWS’07), pp 320–329 CrossRefGoogle Scholar
  42. 42.
    Rouillard J (2007) Web services and speech-based applications around voicexml. J Netw 2(1):27–35 Google Scholar
  43. 43.
    Rumelhart DE, Hinton GE, Williams RJ (1986) PDP: computational models of cognition and perception, I. MIT Press, Cambridge, pp 319–362. Chapter: Learning internal representations by error propagation Google Scholar
  44. 44.
    Schatzmann J, Georgila K, Young S (2005) Quantitative evaluation of user simulation techniques for spoken dialogue systems. In: Proc of the 6th SIGdial workshop, pp 45–54 Google Scholar
  45. 45.
    Schatzmann J, Weilhammer K, Stuttle M, Young S (2006) A survey of statistical user simulation techniques for reinforcement-learning of dialogue management strategies. Knowl Eng Rev 21(2):97–126 CrossRefGoogle Scholar
  46. 46.
    Schatzmann J, Thomson B, Weilhammer K, Ye H, Young S (2007) Agenda-based user simulation for bootstrapping a POMDP dialogue system. In: Proc of human language technologies HLT/NAACL’07 conference, pp 149–152 Google Scholar
  47. 47.
    Schatzmann J, Thomson B, Young S (2007) Error simulation for training statistical dialogue systems. In: Proc of IEEE automatic speech recognition and understanding workshop (ASRU’07), pp 526–531 Google Scholar
  48. 48.
    Scheffler K, Young S (2001) Corpus-based dialogue simulation for automatic strategy learning and evaluation. In: Proc of the 2nd meeting of the North American chapter of the association for computational linguistics (NAACL-2001). Workshop on adaptation in dialogue systems, pp 64–70 Google Scholar
  49. 49.
    Seneff S, Adler M, Glass J, Sherry B, Hazen T, Wang C, Wu T (2007) Exploiting context information in spoken dialogue interaction with mobile devices. In: Proc of int workshop on improved mobile user experience (IMUx’07), pp 1–11 Google Scholar
  50. 50.
    Sheng Q, Benatallah B (2005) ContextUML: a UML-based modeling language for model-driven development of context-aware web services development. In: Proc of IEEE int conference on mobile business (ICMB’05), pp 206–212 CrossRefGoogle Scholar
  51. 51.
    Stolcke A, Coccaro N, Bates R, Taylor P, Ess-Dykema CV, Ries K, Shriberg E, Jurafsky D, Martin R, Meteer M (2000) Dialogue act modeling for automatic tagging and recognition of conversational speech. Comput Linguist 26(3):339–373 CrossRefGoogle Scholar
  52. 52.
    Strauss P, Minker W (2010) Proactive spoken dialogue interaction in multi-party environments. Springer, Berlin zbMATHCrossRefGoogle Scholar
  53. 53.
    Truong H, Dustdar S, Baggio D, Corlosquet S, Dorn C, Giuliani G, Gombotz R (2008) inContext: a pervasive and collaborative working environment for emerging team forms. In: Proc of the int symposium on applications and the Internet (SAINT’08), pp 1–8 Google Scholar
  54. 54.
    Truong HL, Dustdar S (2009) A survey on context-aware web service systems. Int J Web Inf Syst 5(1):5–31 Google Scholar
  55. 55.
    Truong HL, Juszczyk L, Manzoor A, Dustdar S (2007) ESCAPE - an adaptive framework for managing and providing context information in emergency situations. In: Proc of the 2nd European conference on smart sensing and context (EuroSSC 2007), pp 207–222 CrossRefGoogle Scholar
  56. 56.
    Wang C, Li T, Feng L (2008) Context-aware environment-role-based access control model for web services. In: Proc of the int conference on multimedia and ubiquitous engineering (MUE’08), pp 288–293 Google Scholar
  57. 57.
    Zuidweg M, Filho JG, van Sinderen M (2003) Using P3P in a web services-based context-aware application platform. In: Proc of the 9th open European summer school and IFIP (EUNICE’03), pp 238–243 Google Scholar

Copyright information

© Springer Science+Business Media, LLC 2012

Authors and Affiliations

  • David Griol
    • 1
    Email author
  • Javier Carbo
    • 1
  • José Manuel Molina
    • 1
  1. 1.Group of Applied Artificial Intelligence (GIAA), Computer Science DepartmentCarlos III University of MadridMadridSpain

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