The Experts below are selected from a list of 9153 Experts worldwide ranked by ideXlab platform
Mark F Oreilly - One of the best experts on this subject based on the ideXlab platform.
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technology based intervention to help persons with minimally conscious state and pervasive motor disabilities perform environmentally relevant adaptive behavior
Cognitive Processing, 2012Co-Authors: Giulio E. Lancioni, Nirbhay N. Singh, Jeff Sigafoos, Mark F Oreilly, Marta Olivetti BelardinelliAbstract:Persons with a diagnosis of minimally conscious state and pervasive motor disabilities tend to be passive and isolated. A way to help them improve their adaptive behavior (relate to their environment) involves the use of intervention packages combining assistive technology with motivational strategies. The types of assistive technology included in those packages may consist of (a) microswitches allowing direct access to environmental stimuli, (b) combinations of microswitches and Voice Output communication devices (VOCAs) allowing stimulus access and calls for caregivers’ attention, respectively, and (c) computer presentations of stimulus options and microswitches allowing choice among those options and access to them.
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technology based intervention options for post coma persons with minimally conscious state and pervasive motor disabilities
Developmental Neurorehabilitation, 2009Co-Authors: Giulio E. Lancioni, Nirbhay N. Singh, Doretta Oliva, Francesca Buonocunto, Valentina Sacco, Fabio Colonna, Jorge Navarro, Mark F Oreilly, G Megna, Andrea BoscoAbstract:Background: Intervention strategies, based on learning principles and assistive technology, were assessed with four post-coma persons with minimally conscious state and pervasive motor disabilities.Method: The first study taught a man to access environmental stimulation through a response-microswitch combination and another man to access environmental stimulation and request social contact through responses combined with a microswitch or a Voice Output Communication Aid (VOCA). The second study taught a man to access two forms of environmental stimulation via two response-microswitch combinations and another man to request two forms of contact via two response-VOCA combinations.Results: Data showed that all participants had significant increases in response levels (independent of whether the responses were combined with microswitch or VOCA devices) during the intervention phases of the studies.Conclusion: Intervention strategies based on learning principles and technology may be largely helpful for person...
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the effects of enhanced milieu teaching and a Voice Output communication aid on the requesting of three children with autism
Journal of Autism and Developmental Disorders, 2007Co-Authors: Melissa L Olive, Mark F Oreilly, Berenice De La Cruz, Tonya N Davis, Jeffrey Chan, Russell Lang, Sarah M DicksonAbstract:The purpose of this study was to evaluate the effects of enhanced milieu teaching when combined with a Voice Output communication aid on the requesting skills of three children with autism. The research design was a multiple probe across participants. All sessions were conducted during 5-min play sessions in the child’s classroom. All three children learned to use the Voice Output communication aid to request items during play. Additionally, all three children increased their total requesting during play.
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teaching voca use as a communicative repair strategy
Journal of Autism and Developmental Disorders, 2004Co-Authors: Jeff Sigafoos, Mark F Oreilly, Eric Drasgow, James W Halle, Sue Seelyyork, Chaturi Edrisinha, Alonzo AndrewsAbstract:Students with developmental disabilities often rely on prelinguistic behavior (e.g., reaching, leading) to communicate. When listeners fail to attend to prelinguistic behaviors, students may benefit from responding with an alternative form of communication to repair the breakdown. In the present study, we taught two students with developmental disabilities to repair communicative breakdowns by using a Voice-Output communication aid (VOCA). Intervention occurred at morning snack time when the students had the opportunity to access preferred items through prelinguistic behavior (e.g., reaching, guiding). Breakdowns occurred when the listener failed to attend to the student's initial request. Effects of the intervention were evaluated in a multiple-baseline design across subjects. Both students learned to use the VOCA to repair communicative breakdowns. As VOCA use was acquired as a repair strategy, the students also began to use the device to initiate requests when there had been no breakdown in communication. The intervention appeared to be an effective approach for supplementing prelinguistic behaviors with an additional option for communicating a request.
Giulio E. Lancioni - One of the best experts on this subject based on the ideXlab platform.
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technology based intervention to help persons with minimally conscious state and pervasive motor disabilities perform environmentally relevant adaptive behavior
Cognitive Processing, 2012Co-Authors: Giulio E. Lancioni, Nirbhay N. Singh, Jeff Sigafoos, Mark F Oreilly, Marta Olivetti BelardinelliAbstract:Persons with a diagnosis of minimally conscious state and pervasive motor disabilities tend to be passive and isolated. A way to help them improve their adaptive behavior (relate to their environment) involves the use of intervention packages combining assistive technology with motivational strategies. The types of assistive technology included in those packages may consist of (a) microswitches allowing direct access to environmental stimuli, (b) combinations of microswitches and Voice Output communication devices (VOCAs) allowing stimulus access and calls for caregivers’ attention, respectively, and (c) computer presentations of stimulus options and microswitches allowing choice among those options and access to them.
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technology based intervention options for post coma persons with minimally conscious state and pervasive motor disabilities
Developmental Neurorehabilitation, 2009Co-Authors: Giulio E. Lancioni, Nirbhay N. Singh, Doretta Oliva, Francesca Buonocunto, Valentina Sacco, Fabio Colonna, Jorge Navarro, Mark F Oreilly, G Megna, Andrea BoscoAbstract:Background: Intervention strategies, based on learning principles and assistive technology, were assessed with four post-coma persons with minimally conscious state and pervasive motor disabilities.Method: The first study taught a man to access environmental stimulation through a response-microswitch combination and another man to access environmental stimulation and request social contact through responses combined with a microswitch or a Voice Output Communication Aid (VOCA). The second study taught a man to access two forms of environmental stimulation via two response-microswitch combinations and another man to request two forms of contact via two response-VOCA combinations.Results: Data showed that all participants had significant increases in response levels (independent of whether the responses were combined with microswitch or VOCA devices) during the intervention phases of the studies.Conclusion: Intervention strategies based on learning principles and technology may be largely helpful for person...
Rebecca Palmer - One of the best experts on this subject based on the ideXlab platform.
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A Voice-Input Voice-Output Communication Aid for People With Severe Speech Impairment
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2013Co-Authors: Mark S. Hawley, Stuart P. Cunningham, Phil D. Green, Pam Enderby, Rebecca Palmer, Siddharth Sehgal, Peter O'neillAbstract:A new form of augmentative and alternative communication (AAC) device for people with severe speech impairment-the Voice-input Voice-Output communication aid (VIVOCA)-is described. The VIVOCA recognizes the disordered speech of the user and builds messages, which are converted into synthetic speech. System development was carried out employing user-centered design and development methods, which identified and refined key requirements for the device. A novel methodology for building small vocabulary, speaker-dependent automatic speech recognizers with reduced amounts of training data, was applied. Experiments showed that this method is successful in generating good recognition performance (mean accuracy 96%) on highly disordered speech, even when recognition perplexity is increased. The selected message-building technique traded off various factors including speed of message construction and range of available message Outputs. The VIVOCA was evaluated in a field trial by individuals with moderate to severe dysarthria and confirmed that they can make use of the device to produce intelligible speech Output from disordered speech input. The trial highlighted some issues which limit the performance and usability of the device when applied in real usage situations, with mean recognition accuracy of 67% in these circumstances. These limitations will be addressed in future work.
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development of a Voice input Voice Output communication aid vivoca for people with severe dysarthria
Lecture Notes in Computer Science, 2006Co-Authors: Mark S. Hawley, Phil D. Green, Pam Enderby, Stuart Cunningham, Rebecca PalmerAbstract:This paper describes an approach to the development of a Voice-input Voice-Output communication aid (VIVOCA) for people with disordered or unintelligible speech, initially concentrating on people with moderate to severe dysarthria. The VIVOCA is intended to recognize and interpret an individual's disordered speech and speak out an equivalent message in clear synthesized speech. User consultation suggests that such a device would be acceptable and would be useful in communication situations where speed and intelligibility are crucial. Speech recognition techniques will build on previously successful development of speech-based home control interfaces, and various methods for speech 'translation' are being evaluated.
Mark S. Hawley - One of the best experts on this subject based on the ideXlab platform.
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A Voice-Input Voice-Output Communication Aid for People With Severe Speech Impairment
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2013Co-Authors: Mark S. Hawley, Stuart P. Cunningham, Phil D. Green, Pam Enderby, Rebecca Palmer, Siddharth Sehgal, Peter O'neillAbstract:A new form of augmentative and alternative communication (AAC) device for people with severe speech impairment-the Voice-input Voice-Output communication aid (VIVOCA)-is described. The VIVOCA recognizes the disordered speech of the user and builds messages, which are converted into synthetic speech. System development was carried out employing user-centered design and development methods, which identified and refined key requirements for the device. A novel methodology for building small vocabulary, speaker-dependent automatic speech recognizers with reduced amounts of training data, was applied. Experiments showed that this method is successful in generating good recognition performance (mean accuracy 96%) on highly disordered speech, even when recognition perplexity is increased. The selected message-building technique traded off various factors including speed of message construction and range of available message Outputs. The VIVOCA was evaluated in a field trial by individuals with moderate to severe dysarthria and confirmed that they can make use of the device to produce intelligible speech Output from disordered speech input. The trial highlighted some issues which limit the performance and usability of the device when applied in real usage situations, with mean recognition accuracy of 67% in these circumstances. These limitations will be addressed in future work.
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development of a Voice input Voice Output communication aid vivoca for people with severe dysarthria
Lecture Notes in Computer Science, 2006Co-Authors: Mark S. Hawley, Phil D. Green, Pam Enderby, Stuart Cunningham, Rebecca PalmerAbstract:This paper describes an approach to the development of a Voice-input Voice-Output communication aid (VIVOCA) for people with disordered or unintelligible speech, initially concentrating on people with moderate to severe dysarthria. The VIVOCA is intended to recognize and interpret an individual's disordered speech and speak out an equivalent message in clear synthesized speech. User consultation suggests that such a device would be acceptable and would be useful in communication situations where speed and intelligibility are crucial. Speech recognition techniques will build on previously successful development of speech-based home control interfaces, and various methods for speech 'translation' are being evaluated.
Marta Olivetti Belardinelli - One of the best experts on this subject based on the ideXlab platform.
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technology based intervention to help persons with minimally conscious state and pervasive motor disabilities perform environmentally relevant adaptive behavior
Cognitive Processing, 2012Co-Authors: Giulio E. Lancioni, Nirbhay N. Singh, Jeff Sigafoos, Mark F Oreilly, Marta Olivetti BelardinelliAbstract:Persons with a diagnosis of minimally conscious state and pervasive motor disabilities tend to be passive and isolated. A way to help them improve their adaptive behavior (relate to their environment) involves the use of intervention packages combining assistive technology with motivational strategies. The types of assistive technology included in those packages may consist of (a) microswitches allowing direct access to environmental stimuli, (b) combinations of microswitches and Voice Output communication devices (VOCAs) allowing stimulus access and calls for caregivers’ attention, respectively, and (c) computer presentations of stimulus options and microswitches allowing choice among those options and access to them.
