By Marios Polycarpou, André C.P.L.F. de Carvalho, Jeng-Shyang Pan, Michal Woźniak, Héctor Quintián, Emilio Corchado

This quantity constitutes the complaints of the ninth overseas convention on Hybrid man made clever structures, HAIS 2014, held in Salamanca, Spain, in June 2014. The sixty one papers released during this quantity have been conscientiously reviewed and chosen from 199 submissions. they're prepared in topical classes on HAIS functions; information mining and data discovery; video and photograph research; bio-inspired versions and evolutionary computation; studying algorithms; hybrid clever platforms for facts mining and functions and type and cluster analysis.

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Additional resources for Hybrid Artificial Intelligence Systems: 9th International Conference, HAIS 2014, Salamanca, Spain, June 11-13, 2014. Proceedings

Example text

Finally, Section 6 presents some conclusions and future research lines. 2 State of the Art Although there are currently different approaches to make web contents available using multimodal interaction, they present important limitations. Some of them add a vocal interface to an existing web browser [4]. Others are focused on specific tasks, as e-commerce [5], chat functionalities [6], database access [7], etc. Finally, the solution could be restricted to access information of a limited domain, like in [8], where the dialog system works for selected on-line resources.

The Voice in the Machine: Building Computers That Understand Speech. MIT Press (2012) 2. : The potential for technology to enhance independence for those aging with a disability. Disability and Health Journal 7(1), 33–39 (2014) 3. : Voice Application Development for Android. Packt Publishing (2013) 4. : A voice-driven web browser for blind people. In: Proc. of Interspeech/ICSLP, pp. 1301–1304 (2003) 5. : The VoiceXML dialog system for the e-commerce ordering service. In: Proc. of CSCWD 2009, pp.

Our technique is based on a statistical model to predict user’s intention during the dialog, which is automatically learned from a dialog corpus. This model is used by the system to anticipate the user’s needs by dynamically adopting their goals and also providing them with unsolicited comments and suggestions, as well as responding immediately to interruptions and provide clarification questions. The model takes into account the complete history of the interaction and also the information stored in user profiles.

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