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

dc.contributor.authorFields, Sarah Grace
dc.date.accessioned2023-03-17T22:48:43Z
dc.date.available2023-03-17T22:48:43Z
dc.date.issued2016
dc.description.abstractThis 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.en
dc.identifier.doi10.1145/2957276.2957294
dc.identifier.urihttps://dl.eusset.eu/handle/20.500.12015/4504
dc.language.isoen
dc.publisherAssociation for Computing Machinery
dc.relation.ispartofProceedings of the 2016 ACM International Conference on Supporting Group Work
dc.subjectfamiliar systems
dc.subjectdesign fiction
dc.subjectversion learning
dc.subjectfiction
dc.subjectfamiliar interfaces
dc.subjectexpression recognition
dc.subjectgenerational learning
dc.subjectgame design
dc.subjectreaction computing
dc.subjectlearning algorithms
dc.titleIncorporation of Generational Learning in Familiar Interfaces and Systems: A Design Fictionen
dc.typeText/Conference Paper
gi.citation.startPage355–361
gi.conference.locationSanibel Island, Florida, USA

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