Computer Vision-Driven Movement Annotations to Advance fNIRS Pre-Processing Algorithms.

Functional near-infrared spectroscopy (fNIRS) is beneficial for studying brain activity in naturalistic settings due to its tolerance for movement. However, residual motion artifacts still compromise fNIRS data quality and might lead to spurious results. Although some motion artifact correction algorithms have been proposed in the literature, their development and accurate evaluation have been challenged by the lack of ground truth information.

Culture and the assumptions about appearance and reality: a scientometric look at a century of research.

Introduction: People represent the world in terms of two constructs: how something appears on the surface (appearance) and what it is underneath that surface (reality). Both constructs are central to various bodies of literature. What has not been done, however, is a systematic look at this collection of literature for overarching themes.

Identifying major research themes in the literature on developmental disabilities in Middle Eastern countries: A scientometric review from 1962 to 2023.

Developmental disabilities have been widely studied in higher-income countries. However, most individuals with these conditions live in low- and middle-income countries and they are reportedly under-represented in the scientific literature. To tackle this issue, previous research has provided insight into the thematic developments in the research on developmental disabilities in Africa by means of a scientometric approach to reviews.

Creating a Corpus of Multilingual Parent-Child Speech Remotely: Lessons Learned in a Large-Scale Onscreen Picturebook Sharing Task.

With lockdowns and social distancing measures in place, research teams looking to collect naturalistic parent-child speech interactions have to develop alternatives to in-lab recordings and observational studies with long-stretch recordings. We designed a novel micro-longitudinal study, the Talk Together Study, which allowed us to create a rich corpus of parent-child speech interactions in a fully online environment (N participants = 142, N recordings = 410). In this paper, we discuss the methods we used, and the lessons learned during adapting and running the study.