TAILIEUCHUNG - Behind every innovative solution lies an obscure feature

The Obscure Features Hypothesis (OFH) for innovation states that a two-step process undergirds almost all innovative solutions: (1) notice an infrequently observed or new (., obscure) feature of the problem and (2) construct an interaction involving the obscure feature that produces the desired effects to solve the problem. The OFH leads to a systematic derivation of innovation-enhancing techniques by engaging in two tasks. First, we developed a 32-category system of the types of features possessable by a physical object or material. This Feature Type Taxonomy (FTT) provides a panoramic view of the space of features and assists in searches for the obscure ones. Second, we are articulating the many cognitive reasons that obscure features are overlooked and are developing countering techniques for each known reason. We present the implications and techniques of the OFH, as well as indicate how software can assist innovators in the effective use of these innovation-enhancing techniques. | Knowledge Management E-Learning An International Journal . 146 Behind every innovative solution lies an obscure feature Tony McCaffrey Cognitive Psychology University of Massachusetts Amherst USA E-mail amccaffr@ Lee Spector Cognitive Science Hampshire College USA E-mail lspector@ Corresponding author Abstract The Obscure Features Hypothesis OFH for innovation states that a two-step process undergirds almost all innovative solutions 1 notice an infrequently observed or new . obscure feature of the problem and 2 construct an interaction involving the obscure feature that produces the desired effects to solve the problem. The OFH leads to a systematic derivation of innovation-enhancing techniques by engaging in two tasks. First we developed a 32-category system of the types of features possessable by a physical object or material. This Feature Type Taxonomy FTT provides a panoramic view of the space of features and assists in searches for the obscure ones. Second we are articulating the many cognitive reasons that obscure features are overlooked and are developing countering techniques for each known reason. We present the implications and techniques of the OFH as well as indicate how software can assist innovators in the effective use of these innovation-enhancing techniques. Keywords Innovation Semi-automated creativity Problem solving Biographical notes Tony McCaffrey is currently a postdoctoral fellow at the University of Massachusetts Amherst conducting research with the NSF Center for e-Design. He received his . in cognitive psychology from the University of Massachusetts Amherst. Lee Spector is a Professor of Computer Science in the School of Cognitive Science at Hampshire College. He received his . in computer science at the University of Maryland. 1. Introduction An examination of all the innovation problems used in psychology experiments . insight problems and 1 001 historic inventions listed in Challoner

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