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Use of speech generating devices can improve perception of qualifications for skilled, verbal, and interactive jobs.
- Source :
- Work; 2017, Vol. 56 Issue 2, p199-211, 13p, 1 Color Photograph, 1 Diagram, 3 Charts, 3 Graphs
- Publication Year :
- 2017
-
Abstract
- BACKGROUND: We have previously demonstrated that when speech generating devices (SGD) are used as assistive technologies, they are preferred over the users' natural voices. OBJECTIVE: We sought to examine whether using SGDs would affect listener's perceptions of hirability of people with complex communication needs. METHODS: In a series of three experiments, participants rated videotaped actors, one using SGD and the other using their natural, mildly dysarthric voice, on (a) a measurement of perceptions of speaker credibility, strength, and informedness and (b) measurements of hirability for jobs coded in terms of skill, verbal ability, and interactivity. Experiment 1 examined hirability for jobs varying in terms of skill and verbal ability. Experiment 2 was a replication that examined hirability for jobs varying in terms of interactivity. Experiment 3 examined jobs in terms of skill and specific mode of interaction (face-to-face, telephone, computer-mediated). RESULTS AND CONCLUSIONS: Actors were rated more favorably when using SGD than their own voices. Actors using SGD were also rated more favorably for highly skilled and highly verbal jobs. This preference for SGDs over mildly dysarthric voice was also found for jobs entailing computer-mediated-communication, particularly skillful jobs. [ABSTRACT FROM AUTHOR]
- Subjects :
- JOB applications
AUDITORY perception
COMMUNICATION
COMMUNICATION devices for people with disabilities
COMPUTER assisted instruction
COMPUTERS
DISCRIMINATION (Sociology)
EMPLOYEE selection
EMPLOYMENT of people with disabilities
MEDICAL technology
RESEARCH funding
SPEECH
VIDEO recording
VOCATIONAL rehabilitation
HUMAN voice
WORK capacity evaluation
ASSISTIVE technology
SOCIAL services case management
UNDERGRADUATES
DATA analysis software
Subjects
Details
- Language :
- English
- ISSN :
- 10519815
- Volume :
- 56
- Issue :
- 2
- Database :
- Complementary Index
- Journal :
- Work
- Publication Type :
- Academic Journal
- Accession number :
- 121859187
- Full Text :
- https://doi.org/10.3233/WOR-172489