Titlebook: Human-Computer Interaction; Thematic Area, HCI 2 Masaaki Kurosu,Ayako Hashizume Conference proceedings 2023 The Editor(s) (if applicable) a

MAIZE

Participatory Designs for Computational Playthinking” endeavor. The overall aim of this study is to explore how a participatory design approach including traditional and digital resources trigger children’s computational play. By this, our intention is to contribute to the contemporary debate on the increased use of computational thinking rel

Pantry

Do 3–4-Year-Old Preschoolers Know that the Fictional Characters in Television Programs Are not Real?ate whether 3–4-year-old children can distinguish between reality and fantasy and whether they can distinguish between different fictional worlds as adults do, and to further analyze their understanding of fictional characters acted by real people based on previous studies. In the study, 36 pairs of

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Story-Time Machine-Low-Tech Attachment Design for Pre-school Childrenned design research and technology to develop a teaching aid for parent–child reading. The goal was to reduce the excessive use of computers, communication devices, and consumer electronics (3C), as such devices have been found to negatively affect the parent–child relationship and may result in the

Defiance

Buddie: Design Exploration for Remote Interactions to Support Kidse remote parent-child communication for parents who are physically separated from their children due to work commitments. Because of the widespread prevalence of Covid-19, many parents avoided business trips. We broadened our research to include not only children and their parents, but also teachers

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Fabric

Impacts of Information Accessibility and Diagnosticity on Children’s Visual Perception of Recommendeom that of adults; if the information is too complex and large in quantity, information overload may occur. Thus, book recommendation systems for children must match their information-processing abilities. This study grounded on the accessibility-diagnosticity theory proposed by Feldman and Lynch ai

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