Conversational Turns Research Articles

Exploring the communication access and participation of a young adult with autism spectrum disorder with limited speech and inpatient nursing staff

This study aimed to describe the nature of interactions between health care professionals and a young adult with autism spectrum disorder with limited speech during an inpatient stay. An observational study was conducted to describe the interactions between a young adult on the autism spectrum and 14 of his inpatient health care providers. Naturalistic video-recordings were taken, and behavioral coding was completed to measure the frequency and type of communication turns taken. The providers took 93% of conversational turns. Most provider turns (76%) were non-obligatory in nature and did not invite the young adult to engage in turn-taking. The young adult only had access to his communication system during one of the 27 interactions (4%); however, when he had access to his system, he demonstrated higher levels of turn-taking. Health care providers should offer patients with limited speech more communicative turns, provide adequate wait time, and ensure communication systems are available during all inpatient interactions.

The Effect of Book Genre in Eliciting Teacher Math Talk

ABSTRACTNumber books are an effective tool to increase math talk and promote children's mathematical thinking, but little is known about book genre effects. How do different types of number books impact mathematical input? This study examined whether book genre affects the amount and types of teachers' math talk. Using a within‐subjects design, we asked 31 teachers of 4‐ to 5‐year‐olds to read a narrative number book and a nonnarrative number book in a counterbalanced order. The books were matched in target numerical content. We found that the nonnarrative number book elicited more math talk than the narrative number book. In a qualitative analysis, we analyzed multiple conversational turns and found that both books allowed teachers to engage in simple math discussions, but there were differences in other types of math discussions. Together, these findings show that the quantity and quality of mathematical input differ as a function of genre.

Topic territoriality and the cost of civility: examining the impact of IP address disclosure on Weibo

Abstract This article introduces the concept of “topic territoriality,” a mechanism that governs participation in conversational spaces. When a discussion becomes prone to territorialization, individuals are more likely to claim topics (participating in discussions about topics they own as “stakeholders”) and defer (reducing participation in topics owned by others). They are also more likely to patrol topic boundaries (monitoring who is participating and confronting topic “intruders”). We document the operation of topic territoriality by analyzing 112,278 conversational turns on Weibo before and after a policy that reveals users’ broad geographic locations. We find that revealing these locations increased territorial behaviors, leading to more homogenous participation in conversations. Although the display of locations has improved the overall civility in language, the confrontations between stakeholders and intruders became more toxic. Our research emphasizes the impact of topic territoriality in online conversations and sheds light on the unintended consequences of social media policies.

Are All Conversational Turns Equal? Parental Language Input and Child Language in Children with Hearing Loss during Daily Interactions

Are All Conversational Turns Equal? Parental Language Input and Child Language in Children with Hearing Loss during Daily Interactions

Language environment and early language production in Slovenian infants: An exploratory study using daylong recordings.

Daylong recordings provide an ecologically valid option for analyzing language input, and have become a central method for studying child language development. However, the vast majority of this work has been conducted in North America. We harnessed a unique collection of daylong recordings from Slovenian infants (age: 16-30months, N=40, 18 girls), and focus our attention on manually annotated measures of parentese (infant-directed speech with a higher pitch, slower tempo, and exaggerated intonation), conversational turns, infant words, and word combinations. Measures from daylong recordings showed large variation, but were comparable to previous studies with North American samples. Infants heard almost twice as much speech and parentese from mothers compared to fathers, but there were no differences in language input to boys and girls. Positive associations were found between the social-interactional features of language input (parentese, turn-taking) and infants' concurrent language production. Measures of child speech from daylong recordings were positively correlated with measures obtained through the Slovenian MacArthur-Bates Communicative Development Inventory. These results support the notion that the social-interactional features of parental language input are the foundation of infants' language skills, even in an environment where infants spend much of their waking hours in childcare settings, as they do in Slovenia.

Finding continuers in Swedish Sign Language

Abstract In this paper, I use methods from corpus linguistics and computer vision to find candidates for continuers – that is, conversational markers that signal comprehension and encouragement to the primary speaker/signer to continue – in a corpus of Swedish Sign Language (STS). Using different methods based on distributional patterns in conversational turns, I identify a small set of manual signs – particularly the sign JA@ub ‘yes’ – that exhibit the characteristics associated with continuers, such as occurring frequently in repeated sequences of overlapping but noncompetitive turns. The identified signs correspond to those found in previous research on manual backchannels in STS, demonstrating that quantitative, distribution-based approaches are successful in identifying continuers. In a second step, I employ methods from computer vision to analyze a subset of the corpus videos, and find that the continuer candidates show interesting form characteristics: they are small in visible articulation and thus conversationally unobtrusive by often being articulated low and with little movement in signing space. The results show that distribution-based approaches can be used successfully with sign language corpus data, and that the nature of continuers exhibits similarities across modalities of human language.

CONVERSATIONAL STRUCTURE AND TURN-TAKING MANAGEMENT IN INTERACTIONS BETWEEN CLIENTS AND OFFICERS AT A DRIVERS LICENSING OFFICE IN NIGERIA

This study examines conversational structure and turn management in interactions between clients and officers of the Federal Road Safety Commission (FRSC) at a Nigerian drivers licensing office in order to unveil how sociocultural nuances shape the structure of conversations in this context. The data comprised 21 samples of interaction sequences which were purposively selected from over 13 hours of tape-recordings and analysed using Conversation Analysis. The findings reveal that the interactions are organised in adjacency pairs and expanded most of the time with insertion sequences. Also, turns are shared between the officers and clients through self-selection, current-speaker-selects-next and sustained-turns procedures, which are largely within the control of the officers. There are various cues of silence and pauses, socio-centric sequences, adjacency pairs, drawls, pitch, overlap and interruptions, which are turn-taking and turn-giving cues in the interactions. These features reveal the interactions as institutional talk, which is peculiar to this social environment.

Adult Verbal Responses Facilitating Child Vocalizations

Objectives: This study aimed to investigate whether adults in the vicinity of children respond differently to various child vocalization types within three-event sequences of “child vocalization-adult verbal response-child vocalization” occurring in everyday life. Additionally, this study examined the types of adult verbal responses that facilitate child vocalizations within the series of three-event sequential interactions between children and adults. Methods: Data was collected using the LENA (Language ENvironment Analysis) from 30 children aged 12 to 18 months and their families. Three-event sequences of interactions between children and adults were selected from twenty 5-minute recorded segments with the highest conversational turn counts. Child vocalizations before and after adult verbal responses were broadly classified into canonical babblings and non-canonical babblings, and then coded into subcategories for each babbling type. Adult verbal responses were classified into different pragmatic types. Results: Adults responded differently depending on children’s non-canonical and canonical babblings. Among pragmatic types of adult verbal responses, imitation, recast, and expansion were prominently observed following canonical babblings with more than two syllables. Adult verbal responses such as acknowledgment and recast facilitated children in producing more advanced vocalization forms. Conclusion: This study supports bi-directional relationships in interactions between children and adults and provides insights into which child-adult vocal exchanges facilitate child vocalizations and early speech-language development.

Electronic media exposure, parental language input, and child vocalizations in rural and peri-urban China

To examine the association between electronic media exposure and parental language input, Language Environment Analysis technology was used to collect data on electronic media exposure and parental language input in 158 peri-urban and rural households with children aged 18–24 months in southwestern China. The sounds children made and the sounds they heard were quantified. Multiple linear regression and quantile linear regression were used to determine the relationship between electronic media and the outcomes of interest. The results showed that each hour of electronic media exposure was associated with reduced conversational turn count (p < .05) and child vocalization count (p < .05). A large share of the reduction was driven by the higher quantile of children. Reductions associated with electronic exposure were also observed in number of segments and conversational turns. These results may help explain the association between child electronic media exposure and language delay in an under-studied and at-risk population.

Early Parental Knowledge and Parent-Child Conversations Promote Preschool Language Skills: A Randomized Controlled Trial

ObjectiveThis randomized controlled trial examined the long-term impact of the 3Ts-HV intervention on preschool-aged children’s language skills through promoting parental knowledge and parent-child conversational turns during toddlerhood among families from low-socioeconomic status backgrounds, controlling for parental education level, parental language skills, and child’s age. MethodsNinety two parent-toddler dyads of low socioeconomic status were randomized to receive either the 3Ts-HV intervention (n = 46) or Healthy Lifestyle control (n = 46) curriculum from 14 to 20 months. Parental language skills were assessed at 14 months; parental knowledge was assessed at 14 and 26 months; parent-child conversational turn count was assessed at 14 and 38 months; children’s language skills were assessed at 50 months. ResultsA significant serial mediation effect (β = 0.05, 95% CI [0.002; 0.13]) revealed that the 3Ts-HV intervention increased parental knowledge at 26 months, contributed to more frequent parent-child conversational turns at 38 months, and in turn promoted children’s language skills at 50 months. ConclusionsThe present study provides empirical evidence illustrating the underlying longitudinal processes from increasing parental knowledge and enriching parent-child linguistic interactions during toddlerhood, to promoting children’s language development at preschool age. These findings point to a significant path to supporting families who face socioeconomic challenges early in life to promote equity in children’s early language experiences and narrow disparities in children’s developmental outcomes.

Музыкальная сенсомоторная интегративная терапия в работе с ребенком с задержкой речи: Кейс-исследование

&lt;p&gt;Sensorimotor integrative therapy (SMITh) is a Czech therapeutic approach used for the rehabilitation of children with developmental and communication problems. Its potential for children for special needs started to be explored by a series of research studies recently. This is the first case report investigating the effect of a musical modification of SMITh on speech production and development of a boy with speech delay. Data from technological measurements (speech production of the child, parent, and their conversation turns) collected by Language ENvironment Analysis (LENA Digital Language Processor, pre-test and post-test speech therapy examination, self-reported data from parents, and textual analysis of each session&amp;rsquo;s audio recordings has shown considerable progress of the boy in speech, attention, cooperation, and time perception. The results show potential of SMITh for the intervention in children with speech delay and other communication and developmental problems. Considering the limits of this case study, we recommend further investigation of SMITh and other sensory-based approaches in children with speech delay.&lt;/p&gt;

The role of topic shift and conversation turn in the intonation of Italian wh-questions

The aim of this study is to analyse the intonation patterns of Italian wh-questions in relation to epistemic orientation, topic shift and turn organisation. The research conducted so far has shown that wh-questions have both falling and rising final contours. Linguistic, sociolinguistic, and pragmatic factors are recognised to affect intonation patterns. Nevertheless, the influence of conversational elements on intonation contours remains unclear and requires further research. This study analyses a corpus of unplanned conversations to evaluate how the retention/change of topic and the maintenance/transfer of dialogic turn affect the intonation of questions. The research revealed two significant findings. Firstly, wh-question categorisation shows that the degree of epistemic certainty has a profound impact on topic shift and floor passing. Secondly, the results suggest that conversational aspects do not significantly affect the final intonation patterns. However, they do have a relevant effect on the initial pitch level of the questions, leading to an increase in the onset and overall pitch range.

ChatMDG: A discourse parsing graph fusion based approach for multi-party dialogue generation

Comprehending multi-party dialogue generation poses a challenge due to intricate speaker interactions, where multiple participants engage in a dynamic exchange of questions and responses, assuming diverse roles such as speaker, receiver, and observer, with these roles evolving across conversational turns. Most existing research on multi-party dialogue generation only considers semantic information contained in each sentence and does not take into account the dialogue flow information implicit in multi-role interaction, leading to difficulties in accurately understanding the dialogue state in multi-party dialogue. To fill these gaps, we introduce an information fusion based approach for Multi-party Dialogue Generation named ChatMDG, which integrates role interaction into a semantic-enriched graph with context-based embeddings to cooperatively capture both global and local information in multi-party dialogue. Specifically, we proposes a graph-based network to represent the complex role-interaction dialogue structure for discourse parsing and then designs the dialogue flow encoding method to fuse role-interaction information with semantic states effectively. Furthermore, ChatMDG presents interaction strategies to correspondingly generate reactive and proactive utterances based on the fused embeddings, which lead to more dialogue coherence and user engagement. Experimental results show that ChatMDG significantly improves the accuracy of the multi-party response generation task, especially in complex scenarios with multiple interactions.

Heart-to-heart: infant heart rate at 3 months is linked to infant-directed speech, mother-infant interaction, and later language outcomes.

Previous studies underscore the importance of speech input, particularly infant-directed speech (IDS) during one-on-one (1:1) parent-infant interaction, for child language development. We hypothesize that infants' attention to speech input, specifically IDS, supports language acquisition. In infants, attention and orienting responses are associated with heart rate deceleration. We examined whether individual differences in infants' heart rate measured during 1:1 mother-infant interaction is related to speech input and later language development scores in a longitudinal study. Using a sample of 31 3-month-olds, we assessed infant heart rate during mother-infant face-to-face interaction in a laboratory setting. Multiple measures of speech input were gathered at 3 months of age during naturally occurring interactions at home using the Language ENvironment Analysis (LENA) system. Language outcome measures were assessed in the same children at 30 months of age using the MacArthur-Bates Communicative Development Inventory (CDI). Two novel findings emerged. First, we found that higher maternal IDS in a 1:1 context at home, as well as more mother-infant conversational turns at home, are associated with a lower heart rate measured during mother-infant social interaction in the laboratory. Second, we found significant associations between infant heart rate during mother-infant interaction in the laboratory at 3 months and prospective language development (CDI scores) at 30 months of age. Considering the current results in conjunction with other converging theoretical and neuroscientific data, we argue that high IDS input in the context of 1:1 social interaction increases infants' attention to speech and that infants' attention to speech in early development fosters their prospective language growth.

Real-time coded measures in natural language samples capture change over time in minimally verbal autistic children.

Prior research supports the use of natural language sampling (NLS) to assess the rate of speech utterances (URate) and the rate of conversational turns (CTRate) in minimally verbal (MV) autistic children. Bypassing time-consuming transcription, previous work demonstrated the ability to derive URate and CTRate using real-time coding methods and provided support for their strong psychometric properties. (1) Unexplored is how URate and CTRate using real-time coding methods capture change over time and (2) whether specific child factors predict changes in URate and CTRate in 50 MV autistic children (40 males; M = 75.54, SD = 16.45 (age in months)). A NLS was collected at Time 1 (T1) and Time 2 (T2) (4.5 months between T1 and T2) and coding was conducted in ELAN Linguistic Annotator software using a real-time coding approach to derive URate and CTRate. Findings from paired samples Wilcoxon tests revealed a significant increase in child URate (not examiner URate) and child and examiner CTRate from T1 to T2. Child chronological age, Mullen expressive language age equivalent scores, and URate and CTRate at T1 were predictive of URate and CTRate at T2. Findings support using NLS-derived real-time coded measures of URate and CTRate to efficiently capture change over time in MV autistic children. Identifying child factors that predict changes in URate and CTRate can help in the tailoring of goals to children's individual needs and strengths.

Analysis of natural language input in preschool children with and without hearing loss: quantity, caregiver response types, and influence of demographic factors

ABSTRACT This study investigated language input (adult word count, AWC; conversational turn count, CTC; response types; high-, mid-, and low-level) and language outcomes (receptive, expressive) in children aged 2–5 years with hearing loss (CwHL) and those with normal hearing (CwNH). Associations between language input and outcomes, relationships between language input, and demographics were examined. Language input was analyzed using full-day Language Environment Analysis (LENA) audio-recordings, and language outcomes were assessed using standardized language assessments in 14 CwHL and 20 CwNH. There were no significant differences in language input between CwHL (AWC/hr: M = 1137, SD = 554; CTC/hr: M = 48.26, SD = 19.18) and CwNH (AWC/hr: M = 1243, SD = 426; CTC/hr: M = 60.94, SD = 21.34). There were, however, significant differences between groups in response types and language outcomes. Caregivers of CwHL used less high- and more mid- and low-level responses than caregivers of CwNH (p = < .01). Language input in CwHL showed no association with language outcomes, and there were no correlations with demographic factors. For CwNH, receptive language was correlated with AWC/hr, CTC/hr, and high- and low-level response types (p = < .01); and expressive language was correlated with AWC/hr (p = < .01), CTC/hr (p = .02), and high- (p = .02) and low-level (p = < .01) response types significantly. Correlations were negative for low-level response types, with lower language scores associated with relatively more use of low-level responses. For CwNH, maternal education correlated with AWC/hr (p = < .01), and caregivers of younger CwNH had significantly more CTC/hr (p = < .01). Quantitative LENA data suggested comparable interaction frequency between groups. CwHL were exposed to more low-level response types, had significantly lower language scores. Further investigation into response types, child language outcomes, and therapeutic implications for CwHL is needed.

Understanding is a Two-Way Street: User-Initiated Repair on Agent Responses and Hearing in Conversational Interfaces

Although methods for repairing prior turns in natural conversation are critical for enabling mutual understanding, or successful communication, these methods are seldom built into conversational user interfaces systematically. Chatbots and voice assistants tend to ask users to paraphrase what they said if it was not understood, but users cannot do the same if they encounter trouble in understanding what the agent said. Understanding is a one-way street in most (intent-based) conversation-like interfaces. An exception to this is Moore and Arar (2019), who demonstrate nine types of user-initiated repair on agent responses that are common in natural conversation and who have shown that users will employ these repair features correctly in text-based interfaces if taught. In this small-scale study, we test these user-initiated repairs (in second position) in a voice-based interface. With understanding-oriented repairs, we found that participants employed them much the same way in text and voice. In addition, we examine some hearing- and speaking-oriented repairs that emerged from the use of our novel multi-modal interface. We found that participants used them to manage troubles specific to the voice modality. Analysis of user logs and transcripts suggests that user-initiated repair features are valuable components of conversational interfaces.

The Predictability of Naturalistic Evaluation of All-Day Recordings for Speech and Language Development.

The study aimed to investigate the predictive potential of language environment and vocal development status measures obtained through integrated analysis of Language ENvironment Analysis (LENA) recordings during the prelinguistic stage for subsequent speech and language development in Korean-acquiring children. Specifically, this study explored whether measures from both LENA-automated analysis and human coding at 6-8 months and 12-14 months of age predict vocabulary and phonological development at 18-20 months. One-day home recordings from 20 children were collected using a LENA recorder at 6-8 months, 12-14 months, and 18-20 months. Both LENA-automated measures and measures from human coding were obtained from recordings at 6-8 months and 12-14 months. The number of different words, consonant inventory, and utterance structure inventory were identified from recordings of 18-20 months. Correlation and multiple regression analyses were performed to investigate whether measures related to early language environment and child vocalization at 6-8 months and 12-14 months were predictive of vocabulary and phonological measures at 18-20 months. The results showed that the two main LENA-automated measures, conversational turn count (CTC) and child vocalization count, were positively correlated with all vocabulary and phonological measures at 18-20 months. Multiple regression analysis revealed that CTC during the prelinguistic stages was the most significant predictor of a number of different words, consonant inventory, and utterance structure inventory at 18-20 months. Also, adult word count in LENA-automated measures, child-directed speech ratio, and canonical babbling ratio measured by human coding significantly predicted some vocabulary and phonological measures at 18-20 months. This study highlights the multifaceted nature of language acquisition and collectively emphasizes the value of considering both quantitative and qualitative aspects of language input to understand early language development in children.

Temporal Characteristics of Infant Vocalization during Interaction with Adults

Objectives: This study aimed to examine the temporal characteristics of infant vocalizations during interactions with adults in natural home environments.Methods: One day LENA (Language ENvironment Analysis) recordings were collected from 20 infants aged 6 and 12 months. The collected data were analyzed by selecting 20 5-mintue intervals in the order of highest CTCs (conversational turn counts). In the analysis unit of turn-taking, interactions in which the infant responded within 0.05 seconds to 3 seconds after the adult spoke directly to the infant were regarded as one analysis unit. The temporal characteristics of infant vocalization during interactions with adults were examined through infants’ Vocalization response ratio. The temporal characteristics of infant vocalization in interactions with adults were examined by the after adults’ infant-directed speech (IDS), latency of vocalization response and overlapping vocalization ratio.Results: Infants’ Vocalization response ratio following IDS in adults did not differ significantly between the two age groups. Infants’ Vocalization response latencies increased significantly with age from 6 to 12 months. Overlapping vocalization ratio showed a significant decrease with increasing age.Conclusion: This study supports that as infants grow, they acquire temporal turn-taking skills. It also suggests that the temporal characteristics of infant vocalizations during interactions with adults may be a useful to predict infants’ language development.

Estimating infants’ language exposure: A comparison of random and volume sampling from daylong recordings collected in a bilingual community

In North America, the characteristics of a child’s language environment predict language outcomes. For example, differences in bilingual language exposure, exposure to electronic media, and exposure to child-directed speech (CDS) relate to children’s language growth. Recently, these predictors have been studied through the use of daylong recordings, followed by manual annotation of audio samples selected from these recordings. Using a dataset of daylong recordings collected from bilingually raised infants in the United States as an example, we ask whether two of the most commonly used sampling methods, random sampling and sampling based on high adult speech, differ from each other with regard to estimating the frequencies of specific language behaviors. Daylong recordings from 37 Spanish-English speaking families with infants between 4 and 22 months of age were analyzed. From each child’s recording, samples were extracted in two ways (at random/based on high adult speech) and then annotated for Language (Spanish/English/Mixed), CDS, Electronic Media, Social Context, Turn-Taking, and Infant Babbling. Correlation and agreement analyses were performed, in addition to paired sample t-tests, to assess how the choice of one or the other sampling method may affect the estimates. For most behaviors studied, correlation and agreement between the two sampling methods was high (Pearson r values between 0.79 and 0.99 for 16 of 17 measures; Intraclass Correlation Coefficient values between 0.78 and 0.99 for 13 of 17 measures). However, interesting between-sample differences also emerged: the degree of language mixing, the amount of CDS, and the number of conversational turns were all significantly higher when sampling was performed based on high adult speech compared to random sampling. By contrast, the presence of electronic media and one-on-one social contexts was higher when sampling was performed at random. We discuss advantages of choosing one sampling technique over the other, depending on the research question and variables at hand.