Engineering maturity for fabrication systems is epistemic work that generates transferable knowledge, captured in six Fab-ilities dimensions and shown through gaps revealed in five author projects.
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PREFAB applies preference learning grounded in the peak-end rule to let users annotate only key affective change segments while interpolating the rest, reducing workload and improving confidence in a 25-participant study.
An interactive public hammock captures and replays biodata as embodied traces, with a field study of ten users indicating it fosters anonymous connection and appreciation for shared vitality.
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PREFAB: PREFerence-based Affective Modeling for Low-Budget Self-Annotation
PREFAB applies preference learning grounded in the peak-end rule to let users annotate only key affective change segments while interpolating the rest, reducing workload and improving confidence in a 25-participant study.