Achiever or explorer?: gamifying the creation process of training data for machine learning

Sarah Alaghbari
Sarah Alaghbari
Gregor Blichmann
Gregor Blichmann
Martin Voigt
Martin Voigt

MuC'20: Mensch und Computer 2020 Magdeburg Germany September, 2020, pp. 173-181, 2020.

Cited by: 0|Bibtex|Views7|DOI:https://doi.org/10.1145/3404983.3405519
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Other Links: dl.acm.org|dblp.uni-trier.de

Abstract:

The development of artificial intelligence, e. g., for Computer Vision, through supervised learning requires the input of large amounts of annotated or labeled data objects as training data. The creation of high-quality training data is usually done manually which can be repetitive and tiring. Gamification, the use of game elements in a n...More

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