Abstract
Face recognition is a biometric system used by companies and users in order to promote security. This research aims to understand how the graphic interfaces for this type of technology work and which interaction patterns can be used in order to provide a better experience for a local retailer’s average consumer while using the available in-store kiosks. To contemplate these goals, Design Thinking was used as methodology and divided into four distinct phases: products with facial recognition available in the market were identified through desk research and, for the sake of proposing a better interface solution, ideation sessions followed by prototyping and user testing were performed. As a result, a minimalist interface was created for the product (using only the necessary interface elements in order to avoid information conflicts), along with a specific communication language defined with the help of user feedback. A list of interaction patterns for face recognition interfaces was also defined.
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Samsung funded this research through resources from the Information Technology Law and other incentive laws.
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Ribeiro, F., Kawakami, G., Miyagawa, T. (2020). Identifying Interaction Patterns for Face Recognition Interfaces Through Research, Prototyping and Testing. In: Marcus, A., Rosenzweig, E. (eds) Design, User Experience, and Usability. Interaction Design. HCII 2020. Lecture Notes in Computer Science(), vol 12200. Springer, Cham. https://doi.org/10.1007/978-3-030-49713-2_31
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DOI: https://doi.org/10.1007/978-3-030-49713-2_31
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