Evidence map›Paper›PMID 36904916›Full record

ArticleSensors (Basel, Switzerland)2023

The Design and Development of Instrumented Toys for the Assessment of Infant Cognitive Flexibility.

Vishal Ramanathan, Mohammad Zaidi Ariffin, Guo Dong Goh, Guo Liang Goh, Mohammad Adhimas Rikat, Xing Xi Tan, Wai Yee Yeong, Juan-Pablo Ortega, Victoria Leong, Domenico Campolo

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In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Developing a Methodology for Quantifying Infant Interaction with a Robotic Toy.IEEE ... International Conference on Rehabilitation Robotics : [proceedings] · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Vishal RamanathanRobotics Research Center, School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore 639798, Singapore.ORCID 0000-0002-5119-8876
Mohammad Zaidi AriffinRobotics Research Center, School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore 639798, Singapore.ORCID 0000-0001-9131-5953
Guo Dong GohSingapore Centre for 3D Printing, School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore 639798, Singapore.ORCID 0000-0001-8461-7064
Guo Liang GohSchool of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore 639798, Singapore.ORCID 0000-0002-4586-1790
Mohammad Adhimas RikatSchool of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore 639798, Singapore.ORCID 0000-0002-5770-2383
Xing Xi TanDivision of Psychology, School of Social Sciences, Nanyang Technological University, Singapore 639798, Singapore.
Wai Yee YeongSingapore Centre for 3D Printing, School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore 639798, Singapore.
Juan-Pablo OrtegaDivision of Mathematical Sciences, School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore 637371, Singapore.ORCID 0000-0002-5412-9622
Victoria LeongDivision of Psychology, School of Social Sciences, Nanyang Technological University, Singapore 639798, Singapore.ORCID 0000-0003-0666-9445
Domenico CampoloRobotics Research Center, School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore 639798, Singapore.ORCID 0000-0001-6930-0413

Funding

Wellcome Leap 1kD Program NAWellcome Trust
6 · The paper itself

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.

Indexed as

CognitionPlay and PlaythingsData CollectionHumansInfant3D printingbarometric force sensingecological behavioural assessmentexecutive function developmentinertial motion detectioninstrumented toys

Identifiers

PMID36904916
PMCPMC10007088

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.