Speech recognition in the human–computer interface
Researchers have studied human speech interaction with computers for many years. Much of the focus in this area has been on creating better technical speech recognition (SR) systems, and almost all of the testing has centered on accuracy and productivity gains. However, there has been little study o...
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| Veröffentlicht in: | Information & management 2003-07, Vol.40 (6), p.509-519 |
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| container_title | Information & management |
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| creator | Rebman, Carl M. Aiken, Milam W. Cegielski, Casey G. |
| description | Researchers have studied human speech interaction with computers for many years. Much of the focus in this area has been on creating better technical speech recognition (SR) systems, and almost all of the testing has centered on accuracy and productivity gains. However, there has been little study of other issues, such as user acceptance. This paper reports the results of an experiment investigating word generation rates, word error rates, and user acceptance of a speech recognition program as compared to typing. Although the subjects made more errors when using the speech recognition software, they were able to generate more than twice as much text in the same amount of time. However, this relative efficiency was not enough to overcome the inaccuracy and annoyance in fixing so many errors. |
| doi_str_mv | 10.1016/S0378-7206(02)00067-8 |
| format | Article |
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Much of the focus in this area has been on creating better technical speech recognition (SR) systems, and almost all of the testing has centered on accuracy and productivity gains. However, there has been little study of other issues, such as user acceptance. This paper reports the results of an experiment investigating word generation rates, word error rates, and user acceptance of a speech recognition program as compared to typing. Although the subjects made more errors when using the speech recognition software, they were able to generate more than twice as much text in the same amount of time. However, this relative efficiency was not enough to overcome the inaccuracy and annoyance in fixing so many errors.</description><subject>Applied sciences</subject><subject>Artificial intelligence</subject><subject>Computer science; control theory; systems</subject><subject>Computer systems and distributed systems. User interface</subject><subject>Efficiency</subject><subject>End users</subject><subject>Exact sciences and technology</subject><subject>Human–computer interface</subject><subject>Interactive computer systems</subject><subject>Software</subject><subject>Speech and sound recognition and synthesis. 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| identifier | ISSN: 0378-7206 |
| ispartof | Information & management, 2003-07, Vol.40 (6), p.509-519 |
| issn | 0378-7206 1872-7530 |
| language | eng |
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| source | Elsevier ScienceDirect Journals Complete |
| subjects | Applied sciences Artificial intelligence Computer science control theory systems Computer systems and distributed systems. User interface Efficiency End users Exact sciences and technology Human–computer interface Interactive computer systems Software Speech and sound recognition and synthesis. Linguistics Speech recognition Studies Voice recognition Voice-based computing systems |
| title | Speech recognition in the human–computer interface |
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