The human factors of speech-based interfaces: a research agenda

This article outlines some of the characteristics of speech technology that distinguish it from traditional interaction techniques. A number of human factors issues relating to speech will be discussed in the context of a proposed research agenda for speech-based interfaces.

[1]  G. H. Yates,et al.  Signal Processing for a Cocktail Party Effect , 1969 .

[2]  Ben Shneiderman,et al.  Designing the user interface (2nd ed.): strategies for effective human-computer interaction , 1992 .

[3]  Biing-Hwang Juang,et al.  Fundamentals of speech recognition , 1993, Prentice Hall signal processing series.

[4]  B. Widrow,et al.  Adaptive noise cancelling: Principles and applications , 1975 .

[5]  Raj Reddy,et al.  Automatic Speech Recognition: The Development of the Sphinx Recognition System , 1988 .

[6]  S. Boll,et al.  Suppression of acoustic noise in speech using two microphone adaptive noise cancellation , 1980 .

[7]  Raymond D. Kent,et al.  Acoustic Analysis of Speech , 2009 .

[8]  David Frohlich,et al.  Computers and conversation , 1990 .

[9]  C. Darwin.  The Expression of the Emotions in Man and Animals , .

[10]  William A. Ainsworth,et al.  Speech Recognition by Machine , 1988 .

[11]  Miriam Rose Bonner,et al.  Changes in the Speech Pattern under Emotional Tension , 1943 .

[12]  Alex Rudnicky.  Matching the input mode to the task , 1993 .

[13]  F Grosjean,et al.  Spoken word recognition processes and the gating paradigm , 1980, Perception & psychophysics.

[14]  Giuliano Antoniol,et al.  Radiological Reporting Based on Voice Recognition , 1993, EWHCI.

[15]  Stefanie Shattuck-Hufnagel,et al.  The Use of Prosody in Syntactic Disambiguation , 1991, HLT.

[16]  Chris Schmandt.  Voice communication with computers: conversational systems , 1994 .

[17]  James H. Bradford.  Semantic Strings: A New Technique for Detecting and Correcting User Errors , 1990, Int. J. Man Mach. Stud..

[18]  Sheldon B. Michaels,et al.  Some Aspects of Fundamental Frequency and Envelope Amplitude as Related to the Emotional Content of Speech , 1962 .

[19]  Katsuhiko Shirai,et al.  Phrase Recognition in Conversational Speech Using Prosodic and Phonemic Information (Special Issue on Speech and Discourse Processing in Dialogue Systems) , 1993 .

[20]  James H. Bradford,et al.  Task Interference with a Discrete Word Recognizer , 1993, EWHCI.

[21]  D B Pisoni,et al.  Segmental intelligibility of synthetic speech produced by rule. , 1989, The Journal of the Acoustical Society of America.

[22]  James H. Bradford.  Towards a robust speech interface for teleoperation systems , 1992, ICSLP.

[23]  W. Buxton.  Human-Computer Interaction , 1988, Springer Berlin Heidelberg.