Non-personal Data Collection for Toy User Interfaces de Albuquerque, Anna Priscilla Kelner, Judith 2019-01-02T23:56:08Z 2019-01-02T23:56:08Z 2019-01-08
dc.description.abstract Toy-user-interfaces (ToyUI) are computing devices or peripherals that leverage interactivity and connectivity with other devices to promote physical and social play. ToyUI products may collect both personal and non-personal data (NPD) on their users. We propose nine data patterns for NPD collection as part of ToyUI design based on the study of 297 ToyUI items from both the literature and industry. In addition, we introduce a printed circuit board (PCB) used for rapid prototyping that enabled NPD data collection concerning both objects and users by gathering non-personal identification, positioning system, and motion tracking. We demonstrate the effectiveness of our hardware architecture by embedding it into two design scenarios, namely, closed rules and open-ended rules solutions. The objectives here are to assist the ToyUI makers in creating more meaningful play experiences while ensuring the privacy of children’s and their parents’ data.
dc.format.extent 10 pages
dc.identifier.doi 10.24251/HICSS.2019.209
dc.identifier.isbn 978-0-9981331-2-6
dc.language.iso eng
dc.relation.ispartof Proceedings of the 52nd Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.subject Machine Learning, Robotic, and Toy Computing
dc.subject Decision Analytics, Mobile Services, and Service Science
dc.subject data collection, rapid prototyping, smart toys, toy user interfaces
dc.title Non-personal Data Collection for Toy User Interfaces
dc.type Conference Paper
dc.type.dcmi Text
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