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A Curiosity Estimation in Storytelling with Picture Books for Children Using Wearable Sensors.
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- Author(s): Ohnishi A;Ohnishi A; Kosaka S; Kosaka S; Hama Y; Hama Y; Saito K; Saito K; Terada T; Terada T
- Source:
Sensors (Basel, Switzerland) [Sensors (Basel)] 2024 Jun 21; Vol. 24 (13). Date of Electronic Publication: 2024 Jun 21.- Publication Type:
Journal Article- Language:
English - Source:
- Additional Information
- Source: Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220 (Electronic) Linking ISSN: 14248220 NLM ISO Abbreviation: Sensors (Basel) Subsets: MEDLINE
- Publication Information: Original Publication: Basel, Switzerland : MDPI, c2000-
- Subject Terms:
- Abstract: Storytelling is one of the most important learning activities for children since reading aloud from a picture book stimulates children's curiosity, emotional development, and imagination. For effective education, the procedures for storytelling activities need to be improved according to the children's level of curiosity. However, young children are not able to complete questionnaires, making it difficult to analyze their level of interest. This paper proposes a method to estimate children's curiosity in picture book reading activities at five levels by recognizing children's behavior using acceleration and angular velocity sensors placed on their heads. We investigated the relationship between children's behaviors and their levels of curiosity, listed all observed behaviors, and clarified the behavior for estimating curiosity. Furthermore, we conducted experiments using motion sensors to estimate these behaviors and confirmed that the accuracy of estimating curiosity from sensor data is approximately 72%.
- References: PLoS One. 2018 Mar 21;13(3):e0192054. (PMID: 29561840)
J Exp Child Psychol. 2017 Oct;162:58-71. (PMID: 28587940)
Child Dev. 1996 Oct;67(5):2462-77. (PMID: 9022251)
Child Dev. 1986 Aug;57(4):895-909. (PMID: 3757608)
Psychol Bull. 1968 Oct;70(4):213-20. (PMID: 19673146) - Contributed Indexing: Keywords: acceleration sensor; child; context recognition; curiosity estimation; wearable computing
- Publication Date: Date Created: 20240713 Date Completed: 20240713 Latest Revision: 20240715
- Publication Date: 20240715
- Accession Number: PMC11244374
- Accession Number: 10.3390/s24134043
- Accession Number: 39000821
- Source:
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