A Review of User Interface Design for Interactive Machine Learning
summary
This is a literature review that synthesizes past IML work into a usable design framework rather than reporting a new system. It proposes a structural and behavioural model and decomposes interfaces into sample review, feedback assignment, model inspection, task overview. It derives recommendations from a keyword literature search, highlights practical challenges — user inconsistency, concept shift, inferring intent, knowing when to stop — and offers six emergent solution principles for UI designers.
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chapters (18)
- 0:00Introduction
- 0:31What is Interactive Machine Learning
- 2:18Why do we care
- 4:01Challenges
- 5:03What has been done
- 5:53What challenges remain
- 7:04Topdown approach
- 8:04Structural breakdown
- 9:20Sample review
- 11:53Model inspection
- 12:31Task overview
- 13:22Standardized workflow
- 14:02Model steering
- 14:54emergent solution principles
- 16:21time for questions
- 17:11methodology
- 18:03workflow
- 19:03final question
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