Abstract
Many areas of research have applied memory aid applications to help users remember experiences or enhance learning abilities. Relatively little study however has been done on the use of color based image code as a memory aid. In fact much of what is in use by mainstream media and businesses use mobile barcodes such as 2D image code like Quick Response (QR) code and Microsoft Tag for accessing online content. Part of the freedom of using mobile code is many formats are freely based image code and have accessible API and development kits. Only few are licensed based and are limited to develo** usable applications. We investigate a proprietary licensed color based image code using an application we developed called ColoriT (pronounced Color- ət) in hopes of studying its applicability to enhance memory aid when viewing photo artifacts. ColoriT is a simple photo memory tagging concept used to tag offline photos in a pervasive and natural way. By enhancing the user’s ability to tag offline photos with memory artifacts we create a tool inspired by storytelling to improve memory aid and overall enjoyment of looking at photos.
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Park, J., Seo, J., Choi, JH., Han, T. (2011). ColoriT: Color Based Image Code Application to Aid in Memory Restoration of Offline Photo Artifacts. In: Jacko, J.A. (eds) Human-Computer Interaction. Design and Development Approaches. HCI 2011. Lecture Notes in Computer Science, vol 6761. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21602-2_69
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DOI: https://doi.org/10.1007/978-3-642-21602-2_69
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