Alexis S Rayman, Antara Satchidanand, Jeff Higginbotham
{"title":"使用AAC模拟其他启动的修复。","authors":"Alexis S Rayman, Antara Satchidanand, Jeff Higginbotham","doi":"10.1080/07434618.2023.2271563","DOIUrl":null,"url":null,"abstract":"<p><p>This simulation study assessed the ability of Speech-Output Technologies (SOTs) to keep in-time during conversational repair. Fifty-eight Other Initiated Repair (OIR) initiators were collected from transcripts of repair interaction sequences collected from past research. A range of selection latencies were then used to calculate simulated utterance composition delays for the OIR initiators using two popular SOT software apps, with and without the use of word prediction. To determine whether OIR utterances could be produced within a socially sensitive temporal gap, composition delay was compared to a conservative temporal limit obtained for oral communicators (Kendrick, 2015). Even at the fastest 0.5 s selection latency level, utterance-level composition delays for both SOTs were substantially greater than the OIR limit set for this study. Next, AAC production rate data spanning a variety of technologies, access methods, tasks and user profiles was obtained from the literature. Communication performance for these groups was then evaluated against the identified temporal OIR limit. None of the user groups were found to be capable of producing full OIR utterances within the temporal limits of oral-speech conversation, with most unable to type even a single selection within these bounds. Because of the frequency and importance of repair in conversation, these results have important implications for designing devices to enable their users to successfully engage in such important conversational activities.</p>","PeriodicalId":49234,"journal":{"name":"Augmentative and Alternative Communication","volume":" ","pages":"115-124"},"PeriodicalIF":2.1000,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Simulation of other-initiated repair using AAC.\",\"authors\":\"Alexis S Rayman, Antara Satchidanand, Jeff Higginbotham\",\"doi\":\"10.1080/07434618.2023.2271563\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>This simulation study assessed the ability of Speech-Output Technologies (SOTs) to keep in-time during conversational repair. Fifty-eight Other Initiated Repair (OIR) initiators were collected from transcripts of repair interaction sequences collected from past research. A range of selection latencies were then used to calculate simulated utterance composition delays for the OIR initiators using two popular SOT software apps, with and without the use of word prediction. To determine whether OIR utterances could be produced within a socially sensitive temporal gap, composition delay was compared to a conservative temporal limit obtained for oral communicators (Kendrick, 2015). Even at the fastest 0.5 s selection latency level, utterance-level composition delays for both SOTs were substantially greater than the OIR limit set for this study. Next, AAC production rate data spanning a variety of technologies, access methods, tasks and user profiles was obtained from the literature. Communication performance for these groups was then evaluated against the identified temporal OIR limit. None of the user groups were found to be capable of producing full OIR utterances within the temporal limits of oral-speech conversation, with most unable to type even a single selection within these bounds. Because of the frequency and importance of repair in conversation, these results have important implications for designing devices to enable their users to successfully engage in such important conversational activities.</p>\",\"PeriodicalId\":49234,\"journal\":{\"name\":\"Augmentative and Alternative Communication\",\"volume\":\" \",\"pages\":\"115-124\"},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2024-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Augmentative and Alternative Communication\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1080/07434618.2023.2271563\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2023/11/2 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"AUDIOLOGY & SPEECH-LANGUAGE PATHOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Augmentative and Alternative Communication","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1080/07434618.2023.2271563","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/11/2 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"AUDIOLOGY & SPEECH-LANGUAGE PATHOLOGY","Score":null,"Total":0}
This simulation study assessed the ability of Speech-Output Technologies (SOTs) to keep in-time during conversational repair. Fifty-eight Other Initiated Repair (OIR) initiators were collected from transcripts of repair interaction sequences collected from past research. A range of selection latencies were then used to calculate simulated utterance composition delays for the OIR initiators using two popular SOT software apps, with and without the use of word prediction. To determine whether OIR utterances could be produced within a socially sensitive temporal gap, composition delay was compared to a conservative temporal limit obtained for oral communicators (Kendrick, 2015). Even at the fastest 0.5 s selection latency level, utterance-level composition delays for both SOTs were substantially greater than the OIR limit set for this study. Next, AAC production rate data spanning a variety of technologies, access methods, tasks and user profiles was obtained from the literature. Communication performance for these groups was then evaluated against the identified temporal OIR limit. None of the user groups were found to be capable of producing full OIR utterances within the temporal limits of oral-speech conversation, with most unable to type even a single selection within these bounds. Because of the frequency and importance of repair in conversation, these results have important implications for designing devices to enable their users to successfully engage in such important conversational activities.
期刊介绍:
As the official journal of the International Society for Augmentative and Alternative Communication (ISAAC), Augmentative and Alternative Communication (AAC) publishes scientific articles related to the field of augmentative and alternative communication (AAC) that report research concerning assessment, treatment, rehabilitation, and education of people who use or have the potential to use AAC systems; or that discuss theory, technology, and systems development relevant to AAC. The broad range of topic included in the Journal reflects the development of this field internationally. Manuscripts submitted to AAC should fall within one of the following categories, AND MUST COMPLY with associated page maximums listed on page 3 of the Manuscript Preparation Guide.
Research articles (full peer review), These manuscripts report the results of original empirical research, including studies using qualitative and quantitative methodologies, with both group and single-case experimental research designs (e.g, Binger et al., 2008; Petroi et al., 2014).
Technical, research, and intervention notes (full peer review): These are brief manuscripts that address methodological, statistical, technical, or clinical issues or innovations that are of relevance to the AAC community and are designed to bring the research community’s attention to areas that have been minimally or poorly researched in the past (e.g., research note: Thunberg et al., 2016; intervention notes: Laubscher et al., 2019).