Call for Papers: Special Issue on Data-Driven Design (D3) 2017
Call for Papers: Special Issue on Designing for Additive Manufacturing 2017
JMD Welcomes Christina Bloebaum and Katja Holtta-Otto to the Editorial Board
The Effect of Gender and Idea Goodness on Ownership Bias in Engineering Design Education
Christine A. Toh, Andrew A. Strohmetz, Scarlett R. Miller
Concept selection is a critical stage of the engineering design process because of its potential to influence the direction of the final design. While formalized selection methods have been developed to increase its effectiveness and reduce human decision-making biases, research that understands these biases in more detail can provide a foundation for improving the selection process. One important bias that occurs during this process is ownership bias, or an unintentional preference for an individuals’ own ideas over the ideas of others. However, few studies have explored ownership bias in a design setting and the influence of other factors such as the gender of the designer or the “goodness” of an idea. Read more ...
Cityplot: Visualization of High-Dimensional Design Spaces With Multiple Criteria
Nathan Knerr, Daniel Selva
Cityplot is a new visualization technique for engineering design that uses a dimensionally-reduced representation of the design decisions to represent the mapping from the decisions to the criteria upon which a design is judged. The shown Cityplot depicts possible CubeSat constellations to support the 2007 Earth Science Decadal Survey. Each constellation is comprised of up to 4 CubeSats and each CubeSat can select from a list of 7 instruments. Possible CubeSat constellations are “cities” and are placed in a 2d space to be visualized. Read more...
Design Heuristics in Innovative Products
Seda Yilmaz, Colleen Seifert, Shanna R. Daly, Richard Gonzalez
Current design theory lacks a systematic method to identify what designers know that helps them to create innovative products. In the early stages of idea generation, designers may find novel ideas come readily to mind, or may become fixated on their own or existing products. This may limit the ability to consider more, and more varied candidate concepts that may potentially lead to innovation. To aid in idea generation, we sought to identify “design heuristics,” or “rules of thumb,” evident in award-winning designs. In this paper, we demonstrate a content analysis method for discovering heuristics in the designs of innovative products. Read more...
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