This study is a small portion of a larger work examining the effects of low dosage robot use in interactive and social engagement therapy for children with autism. The purpose of this study was to investigate the participation of the subjects during song activities. Four children were used as participants, each receiving a total of 20 play-based treatment sessions targeting engagement and social interaction. The clinician incorporated the robot into these treatment sessions for 10 minute long segments within a 50 minute session. The current study analyzed these 10 minute segments with the robot, coding turn-taking behaviors. Results indicated that, at least for a time, the robot facilitated improvement in these behaviors for two of the four children. The other two children demonstrated no improvements. These results are discussed, and the limitations of the study and recommendations for future research are examined.

The current study was part of a larger work investigating the effects of intervention incorporating a robot on the social engagement behaviors of children with autism. The larger study implemented a single-subject, multiple-baseline research design in which four children with autism participated in baseline sessions, traditional intervention, intervention including a robot, and follow-up sessions. The current study focused on the participant's responses to directives from the clinician and the parent during collaborative activities that included the robot. Children's responses were analyzed to determine if they responded to directives without assistance, responded with hand-over-hand assistance, or did not comply. Sessions were complex and required the development of a detailed analysis system to ensure fidelity. Overall results were highly variable but showed gains in one child. Clinical observation suggested that all four children benefited from their exposure to the robot, particularly with regards to regulation. Although variable, the results of this study suggest potential for the promotion and generalization of a child's ability to respond to social engagement bids with other humans. Additional research should be conducted to establish the effectiveness of a robot in intervention in generalizing social engagement behaviors in children with autism.

By the later preschool years, most children have a knowledge of the grammatical categories of their native language and are capable of expanding this knowledge to novel words. To model this accomplishment, researchers have created a variety of explicit, testable models or algorithms. These have had partial but promising success in extracting grammatical word categories from transcriptions of caregiver input to young children. Additional insight into children's learning of the grammatical categories of words might be gained from evolutionary computing algorithms, which apply principles of evolutionary biology such as variation, adaptive change, self-regulation, and inheritance to computational models. The current thesis applied such a model to the language addressed to five children, whose ages ranged from 1;1 to 5;1 (years;months). The model evolved dictionaries linking words to their grammatical tags and was run for 4000 cycles; four different rates of mutation of offspring dictionaries were assessed. The accuracy for coding the words in the corpora of language addressed to the children averaged 92.74%. Directions for further development and evaluation of the model are proposed.

Previous research has investigated adults' ability to adapt their speech when a electropalatographic (EPG) pseudopalate is placed in the oral cavity; however, less is known about how younger speakers who are continuing to develop their motor speech abilities might adapt their speech to the presence of the device. This study examined the effect of an EPG pseudopalate on elementary school-aged children's ability to produce the fricatives /s/ and /ƒ/. Audio recordings of six children were collected at eight time intervals including before placement of the pseudopalate, at 30-minute increments for two hours with the pseudopalate in place, immediately following removal of the pseudopalate and 30 minutes after removal. An acoustic analysis was completed looking at consonant duration, spectral mean, spectral variance, and relative intensity. Disturbance of speech patterns from the presence of the pseudopalate was noted for most of the acoustic measures, most noticeably for the relative intensity of both /s/ and /ƒ/, as well as for the spectral mean and spectral variance of /ƒ/. Although there was a relatively high amount of variability among and within speakers, signs of adaptation were apparent after only 30 minutes for some participants. For some acoustic measures, however, full adaptation often did not occur until the pseudopalate was removed. Although future research is needed, it is hoped that this study will provide a greater understanding of children's ability to adapt to the EPG pseudopalate.

Most children who follow a typical developmental timeline learn the grammatical categories of words in their native language by the time they enter school. Researchers have worked to provide a number of explicit, testable models or algorithms in an attempt to model this language development. These models or algorithms have met with some varying success in terms of determining grammatical word categories from the transcripts of adult input to children. A new model of grammatical category acquisition involving an application of evolutionary computing algorithms may provide further understanding in this area. This model implements aspects of evolutionary biology, such as variation, adaptive change, self-regulation, and inheritance. The current thesis applies this model to six English language corpora. The model created dictionaries based on the words in each corpus and matched the words with their grammatical tags. The dictionaries evolved over 5,000 generations. Four different mutation rates were used in creating offspring dictionaries. The accuracy achieved by the model in correctly matching words with tags reached 90%. Considering this success, further research involving an evolutionary model appears warranted.

Most typically developing children have achieved a knowledge of the grammatical categories of the words in their native language by school age. To model this achievement, researchers have developed a variety of explicit, testable models or algorithms which have had partial but promising success in extracting the grammatical word categories from the transcriptions of caregiver input to children. Additional insight into children's learning of the grammatical categories of words might be obtained from an application of evolutionary computing algorithms, which simulate principles of evolutionary biology such as variation, adaptive change, self-regulation, and inheritance. Thus far, however, this approach has only been applied to English language corpora. The current thesis applied such a model to corpora of language addressed to five Spanish-speaking children, whose ages ranged from 0;11 to 4;8 (years; months). The model evolved dictionaries which linked words to their grammatical tags and was run for 5000 cycles; four different rates of mutation of offspring dictionaries were assessed. The accuracy for coding the words in the corpora of language addressed to the children peaked at about 85%. Directions for further development and evaluation of the model and its application to Spanish language corpora are suggested.

This study examined the impact of several noise conditions on speech articulator movements during a sentence repetition task. Sixty participants in three age groups ranging from 20 to 70 repeated a sentence under five noise conditions. Lower lip movements during production of a target sentence were used to compute the spatiotemporal index (STI). It was hypothesized that STI would be lower (indicating greater stability) in the silent baseline condition. There were changes in speech production under several of the noise conditions. The duration for the 1-talker condition was significantly shorter when compared to the silent condition, which could be due to the impact of the 1-talker noise on the attention of the speaker. The peak velocity of a selected closing gesture increased in all of the noise conditions compared to silence. It could be speculated that the repetitive and predictable nature of the speaking task allowed participants to easily filter out the noise while automatically increasing the velocity of lip movements, and consequently, the rate of speech. The STI in the pink noise and 6-talker conditions was lower than in the silent condition, which may be interpreted to reflect a steadier manner of speech production. This could be due to the fact that in the 6-speaker noise condition, the overall effect was more similar to continuous noise, and thus potentially less distracting than hearing a single speaker talking. The count of velocity peaks was unexpectedly lower in the noise conditions compared to speech in silence, suggesting a smoother pattern of articulator movement. The repetitiveness of the task may not require a high level of self-monitoring, resulting in speech output that was more automatic in the noise conditions. With the presentation of noise during a speaking task, the intensity increased due to the Lombard effect in all of the noise conditions. People communicate in noisy environments every day, and an increased understanding of the effects of noise on speech would have value from both theoretical and clinical perspectives.

Despite the documented need for reliable speech audiometry materials for measures such as speech recognition threshold and word recognition score, such recorded materials are not available in the Vietnamese language. The purpose of this study was to develop, digitally record, evaluate, and psychometrically equate a set of Vietnamese bisyllabic and monosyllabic word lists for use in the measurement of speech recognition and word recognition ability, respectively. To create the speech recognition threshold materials, common Vietnamese bisyllabic words were digitally recorded by male and female talkers of Vietnamese and presented for evaluation to 20 native speakers of Vietnamese with normal hearing. Based on listener response, a set of 48 bisyllabic words with relatively steep psychometric function slopes were selected and digitally adjusted to ensure equivalency for psychometric function slope and to equate threshold to the mean pure-tone average for the test participants. To create the word recognition materials, 250 words were digitally recorded by one male and one female talker of Vietnamese and presented to the listeners for evaluation. Based on listener response, 200 words were selected and divided into 4 lists of 50 monosyllabic words and 8 half-lists of 25 monosyllabic words. The lists were digitally adjusted to ensure intensity threshold equivalency. The resulting mean psychometric function slopes at 50% for the speech recognition threshold materials is 11.3%/dB for the male talker and 10.2%/dB for the female talker. Analysis of the word recognition materials indicates no significant difference between the lists or half-lists. The mean psychometric function slope at 50% for the monosyllabic lists and half-lists is 5.1%/dB for the male recordings and 5.2%/dB for the female recordings. The results of the current study are comparable to those found in other languages. Digital recordings of the bisyllabic and monosyllabic word lists are available on compact disc.

Individuals diagnosed with Asperger‟s Syndrome (AS) have marked impairments in social interaction, including difficulty expressing and perceiving thoughts, emotions, and intentions. This deficit may be due in part to a delayed or underdeveloped Theory of Mind (ToM). The previous research investigating ToM in individuals with AS has been inconclusive. The purpose of this study was to compare three Theory of Mind (ToM) tasks, presented via three different modalities, to evaluate the recognition of complex emotions and mental states in adolescents with AS compared to typically developing adolescents. Participants in this study included twenty adolescents: 10 adolescents with AS and 10 typically developing adolescents matched by age and gender. Participants were administered three ToM tasks differing in mode of stimuli presentation: a visual mentalizing (VM) task; an auditory mentalizing (AM) task; and, a visual+auditory mentalizing (VAM) task. . Results were analyzed utilizing a factorial analysis of variance (ANOVA). No significant difference was found between the groups overall, or between the groups by task. A pairwise analysis of the data revealed non-significant differences between visual only (VM) compared to auditory only (AM) presentation of stimuli; however significant differences were found between visual only (VM) stimuli compared to the combination of visual + auditory (VAM) stimuli, and between auditory only (AM) stimuli compared to the combination of visual + auditory (VAM) stimuli. These results indicated that the recognition of complex emotions and mental states increased when the stimuli were presented through the combined visual and auditory channels. Clinical implications of these findings were discussed. Recommendations were made for future research investigating ToM in individuals with AS.

Studies conducted over the past decades have identified the presence of a greater amount of negative emotional reaction and speech disruption in particular speech situations among children who stutter, compared to those who do not (Brutten & Vanryckeghem, 2003b; Knudson, 1939; Meyers, 1986; Trotter, 1983). Laboratory investigations have been utilized to describe the particular situations that elicit the greatest or least amount of speech concern and fluency failures. More recently, in order to deal with the limitation of laboratory research, the use of self-report tests have gained popularity as a means of exploring the extent of negative emotional reaction and speech disruption in a wide array of speaking situations. However, the availability of such instruments for use with children has been limited. Toward this end, the Speech Situation Checklist (SSC) was designed for use with youngsters who do and do not stutter (Brutten 1965b, 2003b). Past investigations utilizing the SSC for Children have reported on reliability and validity information and provided useful normative data (Brutten & Vanryckeghem, 2003b; Trotter, 1983). Additionally, the findings from those research studies have consistently revealed statistically significant differences in speech-related negative emotional response and speech disorganization between children who do and do not stutter. However, since its initial construction, the SSC has undergone modifications and paucity of normative data for the current American form of the SSC has restricted its clinical use. To fill this void, the revised SSC for children was utilized in the present study to obtain current normative and comparative data for American grade-school stuttering and nonstuttering children. Additionally, the effect of age and gender (and their interaction) on the emotional reaction and speech disruption scores of the SSC was examined. The SSC self-report test was administered to 79 nonstuttering and 19 stuttering elementary and middle-school children between the ages of 6 and 13. Only those nonstutterers who showed no evidence of a speech, language, reading, writing or learning difficulty, or any additional motor or behavioral problems were included in the subject pool. Similarly, only those stuttering participants who did not demonstrate any language or speech disorder other than stuttering were contained in the study. Measures of central tendency and variance indicated an overall mean score of 78.26 (SD=19.34) and 85.69 (SD=22.25) for the sample of nonstuttering children on the Emotional Reaction section and Speech Disruption section of the SSC, respectively. For the group of stutterers the overall mean for Emotional Reaction was 109.53 (SD=34.35) and 109.42 (SD=21.33) for the Speech Disruption section. This difference in group means proved to be statistically significant for both emotional response (t=3.816, p=. 001) and fluency failures (t=4.169, p=. 000), indicating that, as a group, children who stutter report significantly more in the way of emotional response to and fluency failures in the situations described in the SSC, compared to their fluent peers. Significant high correlations were also obtained between the report of emotional response and the extent of fluency failures in the various speaking situations for both the group of nonstuttering (.70) and stuttering (.71) children. As far as the effect of age and gender is concerned, the present study found no significant difference in the ER and SD scores between the male and female or the younger and older group of nonstuttering children. Interestingly, a significant age by gender interaction was obtained for the nonstuttering children, only on the Speech Disruption section of the test.