Incorporation of Generational Learning in Familiar Interfaces and Systems: A Design Fiction
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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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Number of citations to item: 2
- Britta Schulte, Philipp Graf, Lena Franzkowiak, Eva Hornecker (2020): Hospital Beds, Robot Priests and Huggables:, In: Proceedings of the 11th Nordic Conference on Human-Computer Interaction: Shaping Experiences, Shaping Society, doi:10.1145/3419249.3420127
- EunJeong Cheon, Norman Makoto Su (2018): Futuristic Autobiographies, In: Proceedings of the 2018 ACM/IEEE International Conference on Human-Robot Interaction, doi:10.1145/3171221.3171244