Wizard of Oz Prototyping for Machine Learning Experiences¶
Browne, J. T. (2019). Wizard of Oz Prototyping for Machine Learning Experiences. Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems, 1-6.
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Primes¶
- Wizard Of Oz Prototyping
- Intelligent-system and product development — feature prototypes begin with a human in the loop producing the "model's" output, so the team learns desired behaviour, failure modes that matter, and latency tolerance before building the real interior.
This sourceApplies Wizard-of-Oz prototyping to machine-learning product experiences — a human produces the model's output by hand to learn desired behaviour, failure modes, and interaction before building the real ML interior.
- Intelligent-system and product development — feature prototypes begin with a human in the loop producing the "model's" output, so the team learns desired behaviour, failure modes that matter, and latency tolerance before building the real interior.
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