Augmentative and Alternative Communication最新文献

The communicative behavior of young children with significant cognitive and motor developmental delays is generally considered to be limited, idiosyncratic and non-intentional. At present, changes between and within children over time regarding their communicative behavior are hard to detect. This article describes an exploratory observational study that draws on data from the first data point of 38 children who are participating in a longitudinal project on the developmental trajectories of children with significant cognitive and motor developmental delays. The aims of this study were to (a) describe the participants' communicative behavior in detail with communication-related variables that reflect differences across individuals, (b) create summarizing variables and (c) explore whether subgroups of children can be detected. A self-developed coding scheme and descriptive statistics combined with correlational analyses were used, followed by a principal component analysis and visual inspection of the outcome of this analysis. The within-group differences related to communicative behavior was characterized using 16 variables. Based on these variables, three overarching components were formulated: communication proficiency, Expressions of Discomfort and Rejection and Differentiation According to Focus. All participating children were found to be unique in terms of their component scores and the relationship among their component scores.

This study's goal was to inform the selection of the most frequently used words to serve as a reference for core vocabulary selection for Hebrew-speaking children who require AAC. The paper describes the vocabulary used by 12 Hebrew-speaking preschool children with typical development in two different conditions: peer talk, and peer talk with adult mediation. Language samples were audio-recorded, transcribed, and analyzed using the CHILDES (Child Language Data Exchange System) tools to identify the most frequently used words. The top 200 lexemes (all variations of a single word) in the peer talk and adult-mediated peer talk conditions accounted for 87.15% (n = 5008 tokens) and 86.4% (n = 5331 tokens) of the total tokens produced in each language sample (n = 5746, n = 6168), respectively. A substantially overlapping vocabulary of 337 lexemes accounted for up to 87% (n = 10411) of the tokens produced in the composite list (n = 11914). The results indicate that a relatively small set of words represent a large proportion of the words used by the preschoolers across two different conditions. General versus language-specific implications for core vocabulary selection for children in need of AAC devices are discussed.

The purpose of this study was to select a core vocabulary list obtained from Mandarin Chinese-speaking Taiwanese persons without disabilities. Mandarin Chinese is dominant and official language of Taiwan. A total of 28 participants, equally divided among seven age groups, were recruited for the study. In all, 112 samples across different communication contexts were collected. Results indicated that 100 core words selected had coverage of 66.7% of the entire composite sample. The proportion of function words versus content words in the top 100 core words was 11% and 89%, respectively. The core vocabulary was categorized into eight parts of speech, including nouns, pronouns, numbers, adverbs, determiners, prepositions, adjectives, and verbs. Implications, limitations, and further research are discussed.

Few studies have investigated how individuals with partially intelligible speech choose to communicate, including how, when, and why they might use a speech-generating device (SGD). This study aimed to add to the literature by exploring how this group of individuals use different communication strategies. Qualitative interviews were carried out with 10 participants with partially intelligible speech with the aim of investigating participants' perceptions of modes of communication and communication strategies. Transcripts were analyzed using Framework Analysis to investigate the role of SGDs alongside other communication strategies. Factors that influence why, when, and how a person chooses to communicate were identified and these were interpreted as an explanatory model of communication with partially intelligible speech. Participants described how they made the decision whether to attempt to communicate at all and then which communication method to use. Decision-making was influenced by the importance of the message, how much time is available, past experience, and the communication partner. Each communication attempt adds to an individuals' experience of communicating and influences subsequent decisions. This study suggests that individuals with partially intelligible speech are at risk of reduced communication environments and networks and that current SGDs may not be designed in a way that recognizes their particular needs.

Augmentative and alternative communication (AAC) approaches offer expressive and receptive supports for the segment of the population of individuals with autism spectrum disorder (ASD) who have little or no functional speech. The National Center for Autism Evidence and Practice (NCAEP) declared augmentative and alternative communication (AAC) interventions for individuals with autism an "evidence-based practice." Following a brief analysis of the breakdown of studies included in NCAEP by dependent variable, we introduce each of the four papers published as part of this special issue on Advances in Augmentative and Alternative Communication Research for Individuals with Autism Spectrum Disorder. In addition to elucidating the contributions and advances of each paper to the research base, including the NCAEP report, we provide a critical commentary as applicable in the hopes of stimulating and guiding further research.

This meta-analysis examined communication outcomes in single-case design studies of augmentative and alternative communication (AAC) interventions and their relationship to participant characteristics. Variables addressed included chronological age, pre-intervention communication mode, productive repertoire, and pre-intervention imitation skills. Investigators identified 114 single-case design studies that implemented AAC interventions with school-aged individuals with autism spectrum disorder and/or intellectual disability. Two complementary effect size indices, Tau(AB) and the log response ratio, were applied to synthesize findings. Both indices showed positive effects on average, but also exhibited a high degree of heterogeneity. Moderator analyses detected few differences in effectiveness when comparing across diagnoses, age, the number and type of communication modes, participant's productive repertoires, and imitation skills to intervention. A PRISMA-compliant abstract is available: https://bit.ly/30BzbLv.

The use of speech-generating devices (SGD) in early interventions for children with autism spectrum disorder (ASD) can improve communication and spoken language outcomes. The purpose of this study was to describe children's responsiveness to SGD input modeled by a social partner during adult-child play interactions over a 24-week intervention trial and explore the effect of that responsiveness on spoken language growth. This secondary analysis consisted of 31 children with less than 20 functional words at study entry who received a blended behavioral intervention (JASPER + EMT) as part of a randomized controlled trial. Significant improvements were seen in rate of responsiveness to both adult SGD models and adult natural speech models; only rate of responsiveness to SGD models at entry was a significant predictor of frequency of commenting and was a more robust predictor of number of different words post-intervention. Lastly, at entry, children with more joint attention and language responded to SGD models at significantly higher rates. Attention and responsiveness to SGD output may be important mechanisms of language growth and children who have more joint attention skills may particularly benefit from use of an SGD.

The purpose of this paper was to review best-practice methods of collecting and analyzing speech production data from minimally verbal autistic speakers. Data on speech production data in minimally verbal individuals are valuable for a variety of purposes, including phenotyping, clinical assessment, and treatment monitoring. Both perceptual ("by ear") and acoustic analyses of speech can reveal subtle improvements as a result of therapy that may not be apparent when correct/incorrect judgments are used. Key considerations for collecting and analyzing speech production data from this population are reviewed. The definition of "minimally verbal" that is chosen will vary depending on the specific hypotheses investigated, as will the stimuli to be collected and the task(s) used to elicit them. Perceptual judgments are ecologically valid but subject to known sources of bias; therefore, training and reliability procedures for perceptual analyses are addressed, including guidelines on how to select vocalizations for inclusion or exclusion. Factors to consider when recording and acoustically analyzing speech are also briefly discussed. In summary, the tasks, stimuli, training methods, analysis type(s), and level of detail that yield the most reliable data to answer the question should be selected. It is possible to obtain rich high-quality data even from speakers with very little speech output. This information is useful not only for research but also for clinical decision-making and progress monitoring.

Individuals who use augmentative and alternative communication (AAC) are often excluded from learning literacy skills that use phonological approaches due to challenges with verbal production of speech sounds. This study was conducted to evaluate the effectiveness of systematic literacy instruction with materials modified to teach letter-sound correspondences (LSC) to pre-adolescent and adolescents with autism spectrum disorders (ASD) with minimal or no speech who use AAC. A single subject design across three letter-sound sets was used, with three individuals with ASD. A total of 12 LSC were targeted in the intervention. During the intervention, the participants were instructed using model, guided, and independent practice trials using low-tech letter tiles followed by two extension activities: letter sorting and initial letter-sound picture books. A functional relationship was established between the LSC intervention and the percent of correct responses on the LSC assessment probes. Very large and large effects sizes were calculated for all participants across the three LSC sets. The study adds to the very limited research base related to phonics instruction for older learners (ages 9 to 18) with ASD, demonstrating that LSC progress can still be made at an older age with systematic instruction.