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Incorporation of Generational Learning in Familiar Interfaces and Systems: A Design Fiction

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Association for Computing Machinery

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This design fiction presents a self-contained fictional study of the following description: Familiar interfaces have grown to be one of the most common forms of reaction computing in applications today. The last few years have seen a rise in the number of familiar interfaces that incorporate generational learning to improve their functionality between versions. Though the practice has many advantages, this study aims to add criticisms against the practice to the so far optimistic discussion. By analyzing the familiar interface of a popular game which aggressively incorporates generational learning into its versioning, the study suggests there may be unintentional consequences of generational learning that require further exploration.

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Fields, Sarah Grace (2016): Incorporation of Generational Learning in Familiar Interfaces and Systems: A Design Fiction. Proceedings of the 2016 ACM International Conference on Supporting Group Work. DOI: 10.1145/2957276.2957294. Association for Computing Machinery. pp. 355–361. Sanibel Island, Florida, USA

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familiar systems, design fiction, version learning, fiction, familiar interfaces, expression recognition, generational learning, game design, reaction computing, learning algorithms

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