AIMC Topic: Child Behavior

Clear Filters Showing 11 to 14 of 14 articles

Considering the effects of gender in child-robot interaction studies: comment on Srinivasan, et Al. (2013).

Perceptual and motor skills Feb 10, 2015
Using a pretest-posttest design, Srinivasan, et al. (2013 ) found that a period of interaction between children and an Isobot humanoid robot improved performance on standardized measures of imitation, planning, and execution of motor behaviors. The a...
Humans Female Male Child, Preschool Child Robotics Sex Factors Motor Activity Child Behavior
View on PubMed DOI

A robot's efficient demonstration cannot reduce 5- to 6-year-old children's over-imitation.

Journal of experimental child psychology Sep 1, 2025
Children tend to imitate inefficient behaviors containing causally irrelevant actions-they over-imitate. Out-group members' efficient demonstration cannot reduce children's over-imitation of in-group members, due to their interpretation of irrelevant...
Humans Female Male Child, Preschool Child Robotics Imitative Behavior Child Behavior
View on PubMed DOI

Modeling engagement in long-term, in-home socially assistive robot interventions for children with autism spectrum disorders.

Science robotics Feb 26, 2020
Socially assistive robotics (SAR) has great potential to provide accessible, affordable, and personalized therapeutic interventions for children with autism spectrum disorders (ASD). However, human-robot interaction (HRI) methods are still limited in...
Humans Algorithms Autism Spectrum Disorder Precision Medicine User-Computer Interface Child Models, Theoretical Robotics Feasibility Studies Supervised Machine Learning Cues Models, Psychological Home Care Services Social Behavior Self-Help Devices Communication Devices for People with Disabilities Child Behavior
View on PubMed DOI

Domain Adaptation in Children Activity Recognition.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Among the major challenges in training predictive models in wireless health, is adapting them to new individuals or groups of people. This is not trivial largely due to possible differences in the distribution of data between a new individual in a re...
Humans Machine Learning Forecasting Adult Wearable Electronic Devices Child Child Behavior
View on PubMed DOI
Popular Topics
Recent Journals