Showing posts with label ideation. Show all posts
Showing posts with label ideation. Show all posts

9 June 2015

Metaphors we think with: The role of metaphor in reasoning

Reference: Thibodeau, P. H., & Boroditsky, L. (2011). Metaphors we think with: The role of metaphor in reasoning. PLoS One, 6(2), e16782.

Abstract: The way we talk about complex and abstract ideas is suffused with metaphor. In five experiments, we explore how these metaphors influence the way that we reason about complex issues and forage for further information about them. We find that even the subtlest instantiation of a metaphor (via a single word) can have a powerful influence over how people attempt to solve social problems like crime and how they gather information to make ‘‘well-informed’’ decisions. Interestingly, we find that the influence of the metaphorical framing effect is covert: people do not recognize metaphors as influential in their decisions; instead they point to more ‘‘substantive’’ (often numerical) information as the motivation for their problem-solving decision. Metaphors in language appear to instantiate frame-consistent knowledge structures and invite structurally consistent inferences. Far from being mere rhetorical flourishes, metaphors have profound influences on how we conceptualize and act with respect to important societal issues. We find that exposure to even a single metaphor can induce substantial differences in opinion about how to solve social problems: differences that are larger, for example, than pre-existing differences in opinion between Democrats and Republicans.

Note: The best series of studies that I'm aware of in terms of understanding how people shape their reasoning when exposed to controlled metaphors. I'm glad it's being cited often in the last four years: https://scholar.google.co.nz/scholar?cites=10748680439318539033 

19 October 2012

Ideation metrics


Paper: Jami J. Shah, Steve M. Smith, Noe Vargas-Hernandez, Metrics for measuring ideation effectiveness, Design Studies, Volume 24, Issue 2, March 2003, Pages 111-134

Note:
"This paper presented one important aspect of research that will some day lead to models of design ideation. We identified four types of outcome based metrics. Quantity, quality, novelty, and variety. We developed objective procedures for evaluating each... Quantity and variety scores apply to the entire idea generation session, while novelty and quality scores are computed for each idea"

Read next: Brent A. Nelson, Jamal O. Wilson, David Rosen, Jeannette Yen, Refined metrics for measuring ideation effectiveness, Design Studies, Volume 30, Issue 6, November 2009, Pages 737-743