Table 1.

Summary of selected results

ChallengesFindings
FixationSchemas help crowds find more analogies, especially far analogies (not sharing surface features). Crowds are able to reliably
generate high-quality schemas.
ScalabilitySchemas help crowds identify a more diverse set of domains to explore, which in turn results in more creative solutions. Coarse
representations that can be learned and reasoned with at scale can enable AI systems to suggest useful analogies from very
large, unstructured corpora.
ComplexityCrowds can generate multiple constraints at different levels of abstraction. The level of abstraction influences the quality of the
solutions (abstract domain, concrete constraints worked best). AI can help users generate targeted abstractions. Analogies
suggested by the system achieved higher relevance and domain distance (far analogies).