Desenvolvimento e avaliação de um sistema multimodal e multiusuário de navegação web

  • Authors:
  • Elizabete Munzlinger;Carlos H. Q. Forster

  • Affiliations:
  • Instituto Tecnológico de Aeronáutica, São José dos Campos, SP, Brasil;Instituto Tecnológico de Aeronáutica, São José dos Campos, SP, Brasil

  • Venue:
  • Companion Proceedings of the XIV Brazilian Symposium on Multimedia and the Web
  • Year:
  • 2008

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Abstract

This paper presents the development and empirical evaluation of a voice-based web browser called BrowserVox, capable of dealing with different Brazilian-Portuguese websites. The system uses Automatic Speech Recognition (ASR) and Text-to-Speech (TTS) components, providing opportunity for mouse or voice interaction (multimodal), with audiovisual feedback. With multiuser capability, it works immediately, without requires previous training of the speech recognition component. We get these features through the use of an auxiliary grammar which contains recognition rules dynamically created for each URL accessed. Even with the limited set of recognizable commands, we can create variations of these commands by using additional auxiliary words (eg please), in static and recursive rules included in grammar. This technique allows the commands to become more humanized. It also allows the system to ignore certain words that are uttered spontaneously by users during the dictation of the command, thus improving the efficiency of the speech recognition system. Finally, we applied usability testing, adopting a set of criteria proposed by Nielsen to evaluate the performance of the navigation system.