Novel methodology to examine cognitive and experiential factors in language development: combining eye-tracking and LENA technology

Reliability of the Language Environment Analysis Recording System in Analyzing French-English Bilingual Speech

Purpose This study examined the utility of the Language ENvironment Analysis (LENA) recording system for investigating the language input to bilingual infants. Method Twenty-one French-English bilingual families with a 10-month-old infant participated in this study. Using the LENA recording system, each family contributed 3 full days of recordings within a 1-month period. A portion of these recordings (945 minutes) were manually transcribed, and the word counts from these transcriptions were compared against the LENA-generated adult word counts. Results Data analyses reveal that the LENA algorithms were reliable in counting words in both Canadian English and Canadian French, even when both languages are present in the same recording. While the LENA system tended to underestimate the amount of speech in the recordings, there was a strong correlation between the LENA-generated and human-transcribed adult word counts for each language. Importantly, this relationship holds when accounting for different-gendered and different-accented speech. Conclusions The LENA recording system is a reliable tool for estimating word counts, even for bilingual input. Special considerations and limitations for using the LENA recording system in a bilingual population are discussed. These results open up possibilities for investigating caregiver talk to bilingual infants in more detail.

Creativity in the Here and Now: A Generic, Micro-Developmental Measure of Creativity

Creativity is a relevant yet elusive concept, and consequently there is a large range of methods to assess creativity in many different contexts. Broadly speaking, we can differentiate between creativity measures on the level of the person (such as the Torrance tests), the level of the creative product (consensual assessment), and the level of the creative process. In the recent literature on children's creativity, 80% of the studies employed measures on either the person or the product level (Kupers et al., submitted). However, for parents, teachers, and employers who wish to stimulate creativity, insight in the (often socially embedded) creative process is badly needed. This move from the inter-individual to the intra-individual level of assessment is furthermore in line with research in many other domains in psychology. Although there is some research focusing more on detailed descriptions of creative processes, the studies are usually purely qualitative and therefore highly context-specific, making generalization difficult. In this paper, we present a newly developed coding frame as a systematic, generic, micro-level measure of creativity. What is unique about this coding frame is that it can be applied to observations of creative processes in many different contexts, and for different kinds of creative tasks. The core of the instrument is that it allows us to assess the two core components of creativity - novelty and appropriateness on an ordinal 4-point scale, at each moment during the creative process. The coding frame can be applied in three steps. The first step is to determine the unit of analysis, that is, the level of detail in which the creative process is assessed. The second step and third steps are coding the units on two ordinal scales of novelty and appropriateness, respectively. In order to illustrate the versatility of our instrument, we apply it to two cases of very different creative processes: a musical composition task (open-ended) and a scientific reasoning task (closed- ended). Last, we demonstrate the possibilities for analyzing this type of dense intra-individual measurements of creativity (time series analysis and state space grids) and discuss the future research that is needed to fully validate the instrument.

Automated Language Environment Analysis: A Research Synthesis

PURPOSE

The Language Environment Analysis (LENA®) represents a breakthrough in automatic speech detection because it makes one's language environment, what adults and children actually hear and say, efficiently measurable. The purpose of this article was to examine (a) current dimensions of LENA research, (b) LENA's sensitivity to differences in populations and language environments, and (c) what has been achieved in closing the Word Gap.

METHOD

From electronic and human searches, 83 peer-reviewed articles using LENA were identified, and 53 met inclusionary criteria and were included in a systematic literature review. Each article reported results of 1 study.

RESULTS

Originally developed to make natural language research more efficient and feasible, systematic review identified a broad landscape of relevant LENA findings focused primarily on the environments and communications of young children but also older adults and teachers. LENA's automated speech indicators (adult input, adult-child interaction, and child production) and the audio environment were shown to meet high validity standards, including accuracy, sensitivity to individual differences, and differences in populations, settings, contexts within settings, speakers, and languages. Researchers' own analyses of LENA audio recordings have extended our knowledge of microlevel processes in adult-child interaction. To date, intervention research using LENA has consisted of small pilot experiments, primarily on the effects of brief parent education plus quantitative linguistic feedback to parents.

CONCLUSION

Evidence showed that automated analysis has made a place in the repertoire of language research and practice. Implications, limitations, and future research are discussed.