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| Content Provider | ACM Digital Library |
|---|---|
| Author | Ma, Yao Zhu, Shaojian Feng, Jinjuan Sears, Andrew |
| Abstract | Speech recognition is a promising alternative input technology for individuals with upper-body motor impairments that hinder the use of the standard keyboard and mouse. A recent long-term field study found that the users employed speech techniques for a variety of tasks beyond generating text documents [1]. One challenge with hands-free speech-based interactions is user authentication, which requires the users to speak their user IDs and passwords character by character. Unfortunately, speaking a password presents both security and privacy threats as well as usability problems. To address this challenge, we propose a new speech-based authentication model. An initial proof-of-concept prototype has been implemented and a pilot study was conducted. Preliminary results suggest several problems for further examination. |
| Starting Page | 229 |
| Ending Page | 230 |
| Page Count | 2 |
| File Format | |
| ISBN | 9781605585581 |
| DOI | 10.1145/1639642.1639689 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2009-10-25 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Speech technology Authentication Physical impairment |
| Content Type | Text |
| Resource Type | Article |
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