Categorical vowel perception enhances the effectiveness and generalization of auditory feedback in human-machine-interfaces.
Human-machine interface (HMI) designs offer the possibility of improving quality of life for patient populations as well as augmenting normal user function. Despite pragmatic benefits, utilizing auditory feedback for HMI control remains underutilized, in part due to observed limitations in effective...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2013-01-01
|
| Series: | PLoS ONE |
| Online Access: | http://europepmc.org/articles/PMC3602293?pdf=render |
| _version_ | 1818941388120653824 |
|---|---|
| author | Eric Larson Howard P Terry Margaux M Canevari Cara E Stepp |
| author_facet | Eric Larson Howard P Terry Margaux M Canevari Cara E Stepp |
| author_sort | Eric Larson |
| collection | DOAJ |
| description | Human-machine interface (HMI) designs offer the possibility of improving quality of life for patient populations as well as augmenting normal user function. Despite pragmatic benefits, utilizing auditory feedback for HMI control remains underutilized, in part due to observed limitations in effectiveness. The goal of this study was to determine the extent to which categorical speech perception could be used to improve an auditory HMI. Using surface electromyography, 24 healthy speakers of American English participated in 4 sessions to learn to control an HMI using auditory feedback (provided via vowel synthesis). Participants trained on 3 targets in sessions 1-3 and were tested on 3 novel targets in session 4. An "established categories with text cues" group of eight participants were trained and tested on auditory targets corresponding to standard American English vowels using auditory and text target cues. An "established categories without text cues" group of eight participants were trained and tested on the same targets using only auditory cuing of target vowel identity. A "new categories" group of eight participants were trained and tested on targets that corresponded to vowel-like sounds not part of American English. Analyses of user performance revealed significant effects of session and group (established categories groups and the new categories group), and a trend for an interaction between session and group. Results suggest that auditory feedback can be effectively used for HMI operation when paired with established categorical (native vowel) targets with an unambiguous cue. |
| first_indexed | 2024-12-20T06:54:44Z |
| format | Article |
| id | doaj.art-8277c6a470284d17ba0b938c889bd169 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-12-20T06:54:44Z |
| publishDate | 2013-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-8277c6a470284d17ba0b938c889bd1692022-12-21T19:49:23ZengPublic Library of Science (PLoS)PLoS ONE1932-62032013-01-0183e5986010.1371/journal.pone.0059860Categorical vowel perception enhances the effectiveness and generalization of auditory feedback in human-machine-interfaces.Eric LarsonHoward P TerryMargaux M CanevariCara E SteppHuman-machine interface (HMI) designs offer the possibility of improving quality of life for patient populations as well as augmenting normal user function. Despite pragmatic benefits, utilizing auditory feedback for HMI control remains underutilized, in part due to observed limitations in effectiveness. The goal of this study was to determine the extent to which categorical speech perception could be used to improve an auditory HMI. Using surface electromyography, 24 healthy speakers of American English participated in 4 sessions to learn to control an HMI using auditory feedback (provided via vowel synthesis). Participants trained on 3 targets in sessions 1-3 and were tested on 3 novel targets in session 4. An "established categories with text cues" group of eight participants were trained and tested on auditory targets corresponding to standard American English vowels using auditory and text target cues. An "established categories without text cues" group of eight participants were trained and tested on the same targets using only auditory cuing of target vowel identity. A "new categories" group of eight participants were trained and tested on targets that corresponded to vowel-like sounds not part of American English. Analyses of user performance revealed significant effects of session and group (established categories groups and the new categories group), and a trend for an interaction between session and group. Results suggest that auditory feedback can be effectively used for HMI operation when paired with established categorical (native vowel) targets with an unambiguous cue.http://europepmc.org/articles/PMC3602293?pdf=render |
| spellingShingle | Eric Larson Howard P Terry Margaux M Canevari Cara E Stepp Categorical vowel perception enhances the effectiveness and generalization of auditory feedback in human-machine-interfaces. PLoS ONE |
| title | Categorical vowel perception enhances the effectiveness and generalization of auditory feedback in human-machine-interfaces. |
| title_full | Categorical vowel perception enhances the effectiveness and generalization of auditory feedback in human-machine-interfaces. |
| title_fullStr | Categorical vowel perception enhances the effectiveness and generalization of auditory feedback in human-machine-interfaces. |
| title_full_unstemmed | Categorical vowel perception enhances the effectiveness and generalization of auditory feedback in human-machine-interfaces. |
| title_short | Categorical vowel perception enhances the effectiveness and generalization of auditory feedback in human-machine-interfaces. |
| title_sort | categorical vowel perception enhances the effectiveness and generalization of auditory feedback in human machine interfaces |
| url | http://europepmc.org/articles/PMC3602293?pdf=render |
| work_keys_str_mv | AT ericlarson categoricalvowelperceptionenhancestheeffectivenessandgeneralizationofauditoryfeedbackinhumanmachineinterfaces AT howardpterry categoricalvowelperceptionenhancestheeffectivenessandgeneralizationofauditoryfeedbackinhumanmachineinterfaces AT margauxmcanevari categoricalvowelperceptionenhancestheeffectivenessandgeneralizationofauditoryfeedbackinhumanmachineinterfaces AT caraestepp categoricalvowelperceptionenhancestheeffectivenessandgeneralizationofauditoryfeedbackinhumanmachineinterfaces |