Multimodal Approach for Characterizing the Quality of Parent–Child Interaction: A Single Synchronization Source May Not Tell the Whole Story
The interaction between the parent and child is essential for the child’s cognitive and emotional development and sets the path for future well-being. These interactions, starting from birth, are necessary for providing the sensory stimulation the child needs in the critical time window of brain dev...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-02-01
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| Series: | Biology |
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| Online Access: | https://www.mdpi.com/2079-7737/12/2/241 |
| _version_ | 1797622269734813696 |
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| author | Tzipi Horowitz-Kraus Carmel Gashri |
| author_facet | Tzipi Horowitz-Kraus Carmel Gashri |
| author_sort | Tzipi Horowitz-Kraus |
| collection | DOAJ |
| description | The interaction between the parent and child is essential for the child’s cognitive and emotional development and sets the path for future well-being. These interactions, starting from birth, are necessary for providing the sensory stimulation the child needs in the critical time window of brain development. The characterization of parent–child interactions is traditionally performed by human decoding. This approach is considered the leading and most accurate way of characterizing the quality of these interactions. However, the development of computational tools and especially the concept of parent–child synchronization opened up an additional source of data characterizing these interactions in an objective, less human-labor manner. Such sources include brain-to-brain, voice/speech, eye contact, motor, and heart-rate synchronization. However, can a single source synchronization dataset accurately represent parent–child interaction? Will attending to the same stimulation, often resulting in a higher brain-to-brain synchronization, be considered an interactive condition? In this perspective, we will try to convey a new concept of the child–parent interaction synchronization (CHIPS) matrix, which includes the different sources of signals generated during an interaction. Such a model may assist in explaining the source of interaction alterations in the case of child/parent developmental/emotional or sensory deficits and may open up new ways of assessing interventions and changes in parent–child interactions along development. We will discuss this interaction during one of the parent–child joint activities providing opportunities for interaction, i.e., storytelling. |
| first_indexed | 2024-03-11T09:07:51Z |
| format | Article |
| id | doaj.art-31305b3693224b7fb27f31591eee26f6 |
| institution | Directory Open Access Journal |
| issn | 2079-7737 |
| language | English |
| last_indexed | 2024-03-11T09:07:51Z |
| publishDate | 2023-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Biology |
| spelling | doaj.art-31305b3693224b7fb27f31591eee26f62023-11-16T19:13:37ZengMDPI AGBiology2079-77372023-02-0112224110.3390/biology12020241Multimodal Approach for Characterizing the Quality of Parent–Child Interaction: A Single Synchronization Source May Not Tell the Whole StoryTzipi Horowitz-Kraus0Carmel Gashri1Educational Neuroimaging Group, Faculty of Education in Science and Technology, Technion, Haifa 3200003, IsraelFaculty of Biomedical Engineering, Technion, Haifa 3200003, IsraelThe interaction between the parent and child is essential for the child’s cognitive and emotional development and sets the path for future well-being. These interactions, starting from birth, are necessary for providing the sensory stimulation the child needs in the critical time window of brain development. The characterization of parent–child interactions is traditionally performed by human decoding. This approach is considered the leading and most accurate way of characterizing the quality of these interactions. However, the development of computational tools and especially the concept of parent–child synchronization opened up an additional source of data characterizing these interactions in an objective, less human-labor manner. Such sources include brain-to-brain, voice/speech, eye contact, motor, and heart-rate synchronization. However, can a single source synchronization dataset accurately represent parent–child interaction? Will attending to the same stimulation, often resulting in a higher brain-to-brain synchronization, be considered an interactive condition? In this perspective, we will try to convey a new concept of the child–parent interaction synchronization (CHIPS) matrix, which includes the different sources of signals generated during an interaction. Such a model may assist in explaining the source of interaction alterations in the case of child/parent developmental/emotional or sensory deficits and may open up new ways of assessing interventions and changes in parent–child interactions along development. We will discuss this interaction during one of the parent–child joint activities providing opportunities for interaction, i.e., storytelling.https://www.mdpi.com/2079-7737/12/2/241synchronizationparent–child interactioninteraction matrixhyperscanning |
| spellingShingle | Tzipi Horowitz-Kraus Carmel Gashri Multimodal Approach for Characterizing the Quality of Parent–Child Interaction: A Single Synchronization Source May Not Tell the Whole Story Biology synchronization parent–child interaction interaction matrix hyperscanning |
| title | Multimodal Approach for Characterizing the Quality of Parent–Child Interaction: A Single Synchronization Source May Not Tell the Whole Story |
| title_full | Multimodal Approach for Characterizing the Quality of Parent–Child Interaction: A Single Synchronization Source May Not Tell the Whole Story |
| title_fullStr | Multimodal Approach for Characterizing the Quality of Parent–Child Interaction: A Single Synchronization Source May Not Tell the Whole Story |
| title_full_unstemmed | Multimodal Approach for Characterizing the Quality of Parent–Child Interaction: A Single Synchronization Source May Not Tell the Whole Story |
| title_short | Multimodal Approach for Characterizing the Quality of Parent–Child Interaction: A Single Synchronization Source May Not Tell the Whole Story |
| title_sort | multimodal approach for characterizing the quality of parent child interaction a single synchronization source may not tell the whole story |
| topic | synchronization parent–child interaction interaction matrix hyperscanning |
| url | https://www.mdpi.com/2079-7737/12/2/241 |
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