Title :
Is Voice Recognition the Solution to Keyboard-Based RSI?
Author :
Mills, Stella ; Saadat, Sohrab ; Whiting, Dominic
Author_Institution :
Staffordshire Univ., Stoke-on-Trent
Abstract :
To determine whether voice recognition is the solution to keyboard-based RSI and to assess its impact and that of other alternative equipment to the standard keyboard and mouse, a survey was undertaken of individuals with RSI. From a total of 77 respondents, 63 (81 %) indicated experience of voice recognition. Comprehensive training was required for the majority but was wholly inadequate or not widely available. Regarding usability, the software could be used in a wide range of applications, but did not provide hands-free access and recognition problems meant continuous error correction was necessary. Programming and graphic work were further highlighted where the software was ineffective. In conclusion the fieldwork indicated that current voice recognition packages cannot eliminate a keyboard and mouse and can only be considered part of the solution if used in conjunction with an ergonomic keyboard and adaptive support equipment.
Keywords :
keyboards; occupational health; speech recognition; speech-based user interfaces; adaptive support equipment; ergonomic keyboard; keyboard-based RSI; programming-graphic work; repetitive strain injury; voice recognition; Application software; Automatic speech recognition; Error correction; Injuries; Keyboards; Mice; Packaging; Speech analysis; Speech recognition; Usability; RSI; usability; voice recognition;
Conference_Titel :
Automation Congress, 2006. WAC '06. World
Conference_Location :
Budapest
Print_ISBN :
1-889335-33-9
DOI :
10.1109/WAC.2006.375941