Exploring Machine Teaching with Children.
Proc IEEE Symp Vis Lang Hum Centric Comput
; 20212021 Oct.
Article
in En
| MEDLINE
| ID: mdl-35069983
ABSTRACT
Iteratively building and testing machine learning models can help children develop creativity, flexibility, and comfort with machine learning and artificial intelligence. We explore how children use machine teaching interfaces with a team of 14 children (aged 7-13 years) and adult co-designers. Children trained image classifiers and tested each other's models for robustness. Our study illuminates how children reason about ML concepts, offering these insights for designing machine teaching experiences for children (i) ML metrics (e.g. confidence scores) should be visible for experimentation; (ii) ML activities should enable children to exchange models for promoting reflection and pattern recognition; and (iii) the interface should allow quick data inspection (e.g. images vs. gestures).
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Type of study:
Prognostic_studies
Language:
En
Journal:
Proc IEEE Symp Vis Lang Hum Centric Comput
Year:
2021
Document type:
Article