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Desenvolvimento de interfaces multimodais a partir da integração de comandos vocais à interface gráfica

Published: 19 November 2006 Publication History

Abstract

In the last years, mouse/keyboard based graphical interaction is the current standard of human-computer interfaces. The integration of voice as an input mode to visual-only interfaces provide means for reducing some of the known limitations of existing human-computer interaction. One of the major issues that remains is how to integrate voice input into a graphical interface application. In this paper, we introduce a process for developing multimodal interfaces that combine voice and visual input/output. In order to evaluate the proposed approach, a video application multimodal interface was implemented and analysed.

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Published In

cover image ACM Other conferences
IHC '06: Proceedings of VII Brazilian symposium on Human factors in computing systems
November 2006
251 pages
ISBN:1595934324
DOI:10.1145/1298023
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

  • SBC: Brazilian Computer Society
  • CEIHC - SBC Special Interest Group in Human-Computer Interaction

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 19 November 2006

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Author Tags

  1. HCI
  2. integração de voz
  3. interfaces do usuàrio
  4. multimodalidade

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IHC'06
Sponsor:
  • SBC
IHC'06: VII Symposium on Human Factors in Computer Systems
November 19 - 22, 2006
Natal, RN, Brazil

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IHC '06 Paper Acceptance Rate 20 of 68 submissions, 29%;
Overall Acceptance Rate 331 of 973 submissions, 34%

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