著者

上出 寛子 高嶋 和毅 石川 美笛 足立 智昭 北村 喜文

出版者

ヒューマンインタフェース学会

雑誌

ヒューマンインタフェース学会論文誌 (ISSN:13447262)

巻号頁・発行日

vol.20, no.1, pp.107-114, 2018-02-25 (Released:2018-02-25)

参考文献数

22

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This study explores quantitative behavioral analysis of children's block play by using A-block that embeds a wireless acceleration sensor. Based on acceleration sensing, we extract specific behavioral parameters of block play quantitatively and aim to estimate age of young children (2-6) from such parameters. 52 young children used A-Block then several major events are computed such as time to get blocks up, times to put them on, times to bring them up, and amount of displacement. Results showed that these parameters could predict children's age significantly and also revealed A-Block has satisfactory capabilities to discriminate under/over 3 years and under/over 5 years. We discussed developing of new parameters and improvement of A-Block for further behavioral analysis of block play.