1 / 10

VisualizeIT: Measuring the Impact of IT-Enabled Concept Generation on Designer Creativity

VisualizeIT: Measuring the Impact of IT-Enabled Concept Generation on Designer Creativity. 101001010010010011100100110111010010111001001001110001010. Rob Stone, Seth Orsborn - Missouri S&T Kemper Lewis, Ken English - U. Buffalo Dan McAdams, Julie Linsey - Texas A&M

deacon-rosario
Download Presentation

VisualizeIT: Measuring the Impact of IT-Enabled Concept Generation on Designer Creativity

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. VisualizeIT: Measuring the Impact of IT-Enabled Concept Generation on Designer Creativity 101001010010010011100100110111010010111001001001110001010 • Rob Stone, Seth Orsborn - Missouri S&T • Kemper Lewis, Ken English - U. Buffalo • Dan McAdams, Julie Linsey - Texas A&M • Matt Campbell - U. Texas at Austin

  2. VisualizeIT VisualizeIT 10110 10110 1001 1001 0100 0100 100 100 Research Objective • Starting point: automated concept generation • To measure the effect that different visualization and concept clustering techniques have on designer creativity • Cluster the many concept variants from the automated concept generation algorithms • Represent the option space to the designer so that it enhances creativity • Measure the impact of the visualization schemes on designer creativity

  3. VisualizeIT 10110 1001 0100 100 VisualizeIT

  4. VisualizeIT INPUT: Function Structure 10110 1001 0100 100 3 5 4 OUTPUT: CFG created by execution of rule sequence 3-5-4.

  5. VisualizeIT PCA-based clustering 10110 1001 0100 100

  6. VisualizeIT 10110 1001 0100 100

  7. VisualizeIT Concept Explorer • The VisualizeIT Concept Explorer is being developed to enable the exploration of the large number of possible design candidates. • Each design concept is represented on a virtual card • Components are represented on the top of the card. • Design performance is represented by the radar plot at the lower left.

  8. VisualizeIT Concept Explorer • A user can also use that design to seed the concept search. • For example, the fourth component here was desirable, and a new set of concepts was generated based on that fact. • The interface starts by displaying 8-10 sample concepts from the concept generator. • If a particular concept is of interest, the user can select that card for further investigation. • The performance details can be viewed, as well as more details on how components map to functional requirements. • Users navigate through the concepts using the mouse to spin through the options.

  9. VisualizeIT 10110 1001 0100 100 Experimental Evaluation • Hypothesis: Presentation of computationally generated solutions will produce more complete and innovative concepts. • Groups: Control- no computational support • Experimental- given computationally created concepts • Metrics • Number of ideas • Quality • Completeness • Novelty • Variety

  10. VisualizeIT 10110 1001 0100 100 Design Problem: Flavor Composition Device • Task: Design a device that automatically measures, combines and dispenses spices.

More Related