Accelerating Innovation Through Analogy Mining

The availability of large idea repositories (e.g., the U.S. patent database) could significantly accelerate innovation and discovery by providing people with inspiration from solutions to analogous problems. However, finding useful analogies in these large, messy, real-world repositories remains a persistent challenge for either human or automated methods. Previous approaches include costly hand-created databases that have high relational structure (e.g., predicate calculus representations) but are very sparse. Simpler machine-learning/information-retrieval similarity metrics can scale to large, natural-language datasets, but struggle to account for structural similarity, which is central to analogy. In this paper we explore the viability and value of learning simpler structural representations, specifically, "problem schemas", which specify the purpose of a product and the mechanisms by which it achieves that purpose. Our approach combines crowdsourcing and recurrent neural networks to extract purpose and mechanism vector representations from product descriptions. We demonstrate that these learned vectors allow us to find analogies with higher precision and recall than traditional information-retrieval methods. In an ideation experiment, analogies retrieved by our models significantly increased people's likelihood of generating creative ideas compared to analogies retrieved by traditional methods. Our results suggest a promising approach to enabling computational analogy at scale is to learn and leverage weaker structural representations.Comment: KDD 201

Situative Creativity: Larger Physical Spaces Facilitate Thinking of Novel Uses for Everyday Objects

People often use spatial metaphors (e.g., think “laterally,” “outside the box”) to describe exploration of the problem space during creative problem solving. In this paper, we probe the potential cognitive underpinnings of these spatial metaphors. Drawing on theories of situative cognition, semantic foraging theory, and environmental psychology, we formulate and test the hypothesis that larger physical spaces can facilitate divergent (but not convergent) processes in problem space exploration. Across two experiments, participants worked on a battery of problem solving tasks intended to represent divergent (alternative uses, shape invention) and convergent (remote associates, letter extrapolation) problem solving processes in either a large or a small room. In Experiment 1, participants in the larger room produced more novel alternative uses for everyday objects, and created more novel shape inventions, but generated less practical alternative uses, than participants in the smaller room. In Experiment 2, participants in the larger room (including a variant larger room) also produced more novel alternative uses for everyday objects, and less practical alternative uses, than participants in a small room, but did not create more novel shape inventions. These results suggest that spatial metaphors for problem space exploration may reflect meaningful cognitive phenomena: People may be able to search more broadly in a problem space if they are in an environment where broad physical search is a salient affordance; however, this effect appears to be relatively small and may depend on having sufficiently motivated participants

Comprehensive analysis of liver macrophage composition by flow cytometry and immunofluorescence in murine NASH

Recently, it has become evident that macrophage diversity increases in the liver during the pathogenesis of non-alcoholic steatohepatitis (NASH). Here, we provide a detailed protocol for the analysis of liver macrophage subsets in mice with non-alcoholic fatty liver disease (NAFLD) and early NASH using flow cytometry and immunofluorescence (IF). These methods can be used to assess the composition and localization of macrophage subsets during NASH. For complete details on the use and execution of this protocol, please refer to Daemen et al. (2021)

Fluid Transformers and Creative Analogies: Exploring Large Language Models' Capacity for Augmenting Cross-Domain Analogical Creativity

Cross-domain analogical reasoning is a core creative ability that can be challenging for humans. Recent work has shown some proofs-of concept of Large language Models' (LLMs) ability to generate cross-domain analogies. However, the reliability and potential usefulness of this capacity for augmenting human creative work has received little systematic exploration. In this paper, we systematically explore LLMs capacity to augment cross-domain analogical reasoning. Across three studies, we found: 1) LLM-generated cross-domain analogies were frequently judged as helpful in the context of a problem reformulation task (median 4 out of 5 helpfulness rating), and frequently (~80% of cases) led to observable changes in problem formulations, and 2) there was an upper bound of 25% of outputs bring rated as potentially harmful, with a majority due to potentially upsetting content, rather than biased or toxic content. These results demonstrate the potential utility -- and risks -- of LLMs for augmenting cross-domain analogical creativity

ARCE 415 Portfolio: The Green Bird of Paradise

A design project creating a Polyshell sunshade structure for the Leaning Pine Arboretum

Impaired processing of facial happiness, with or without awareness, in developmental prosopagnosia

Developmental prosopagnosia (DP) is associated with severe, lifelong deficits in face recognition, with such cases often cited as support for a dissociation between the processing of facial identity and emotion. Here we examine the evidence against this dissociation and propose that the processing of facial happiness, either with or without awareness, is actually integrated within the same neural network involved in facial identity recognition. We also test this hypothesis on a group of DP cases and neurotypical controls (NT) by adapting them to expressionless neutral faces, intact happy faces and hybrid faces. Despite these hybrid faces being explicitly identified as expressionless due to their higher spatial frequencies taken from a neutral face, their low spatial frequencies convey happy facial expressions that participants are unaware of. After adaptation, participants were asked to judge the facial expressions of face stimuli that were morphed incrementally in varying degrees of sad through to happy. Both groups exhibited emotion adaptation aftereffects to the intact happy faces, although this effect was smaller in DP. Whereas NT produced emotion adaptation aftereffects without awareness of the happy emotion in the hybrid faces; as a group, those with DP did not. Furthermore, our DP cases also exhibited deficits in judging the emotion of the happiest morphed test faces. Our results indicate that the processing of happy facial expressions, with or without awareness, is likely integrated within the face recognition network. We hypothesise that the previously identified abnormalities in the fusiform gyrus in those with DP is the most likely structure responsible for these deficits.MOE (Min. of Education, S’pore)Accepted versio

Re-examining the impact of analogies on ideation search patterns: Lessons from an in vivo study in engineering design

Decades of research on the cognitive science of innovation have consistently implicated the importance of analogy during creative ideation. While the association of analogies with innovative design concepts is clear, more work is needed to understand the specific mechanisms by which analogy might help designers generate such concepts. The present work employed detailed analysis of the temporal interplay between analogy use and ideation in the naturalistic brainstorming conversations of a real-world professional design team to test between competing hypotheses in the literature: (1) analogy supports innovation primarily via large steps in design spaces during concept generation (jumps), and (2) analogy supports innovation primarily via small steps (incremental search). In Study 1, self-generated analogies (including distant ones) were not systematically associated with jumps; on the contrary, concepts tended to be more similar to their precedents after analogy use in comparison to baseline situations (i.e., without analogy use). Study 2 found that the rate of concept generation was greater when associated with analogy in comparison to baseline conditions, suggesting that the effects observed in Study 1 were not due to an overall fixating effect of analogies. Overall, these results challenge the view that analogies help designers generate innovative concepts mainly via jumps in design spaces, and instead suggests that analogies primarily support incremental search. Theoretical implications and future directions for the cognitive science of analogy and innovation are discussed