Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/165599
Title: The design and development of instrumented toys for the assessment of infant cognitive flexibility
Authors: Ramanathan, Vishal
Mohammad Zaidi Ariffin
Goh, Guo Dong
Goh, Guo Liang
Mohammad Adhimas Rikat
Tan, Xing Xi
Yeong, Wai Yee
Ortega, Juan-Pablo
Leong, Victoria
Campolo, Domenico
Keywords: Engineering::Mechanical engineering
Social sciences::Psychology
Issue Date: 2023
Source: Ramanathan, V., Mohammad Zaidi Ariffin, Goh, G. D., Goh, G. L., Mohammad Adhimas Rikat, Tan, X. X., Yeong, W. Y., Ortega, J., Leong, V. & Campolo, D. (2023). The design and development of instrumented toys for the assessment of infant cognitive flexibility. Sensors, 23(5), 2709-. https://dx.doi.org/10.3390/s23052709
Journal: Sensors 
Abstract: The first years of an infant's life represent a sensitive period for neurodevelopment where one can see the emergence of nascent forms of executive function (EF), which are required to support complex cognition. Few tests exist for measuring EF during infancy, and the available tests require painstaking manual coding of infant behaviour. In modern clinical and research practice, human coders collect data on EF performance by manually labelling video recordings of infant behaviour during toy or social interaction. Besides being extremely time-consuming, video annotation is known to be rater-dependent and subjective. To address these issues, starting from existing cognitive flexibility research protocols, we developed a set of instrumented toys to serve as a new type of task instrumentation and data collection tool suitable for infant use. A commercially available device comprising a barometer and an inertial measurement unit (IMU) embedded in a 3D-printed lattice structure was used to detect when and how the infant interacts with the toy. The data collected using the instrumented toys provided a rich dataset that described the sequence of toy interaction and individual toy interaction patterns, from which EF-relevant aspects of infant cognition can be inferred. Such a tool could provide an objective, reliable, and scalable method of collecting early developmental data in socially interactive contexts.
URI: https://hdl.handle.net/10356/165599
ISSN: 1424-8220
DOI: 10.3390/s23052709
Schools: School of Mechanical and Aerospace Engineering 
School of Physical and Mathematical Sciences 
School of Social Sciences 
Research Centres: Robotics Research Center
Singapore Centre for 3D Printing 
Rights: © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:MAE Journal Articles
SC3DP Journal Articles
SPMS Journal Articles
SSS Journal Articles

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