Overview of Innovation, Design Reasoning, Engineering Education, and Methods Lab
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Transcript of Overview of Innovation, Design Reasoning, Engineering Education, and Methods Lab
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Overview of Innovation, Design Reasoning, Engineering Education, and
Methods Lab
Julie LinseyInnovation, Design Reasoning, Engineering
Education and Methods LabWoodruff School of Mechanical Engineering
Design Cognition in Engineering
Design cognition Idea generation
Design by analogy Bioinspired design
Human behavior in the design process
Mental Models New tools and design
methods
Cognitive Impacts of Physical Representations
• Findings:– Physical models helps designers to overcome
negative design fixation to ineffective concepts– Physical representations early in the design
process must minimizes costs (time, efforts, money, etc.) otherwise design fixation tends to occur due to the Sunk Cost effect
– Physical representation assist designers in overcoming flaws in their mental models of how a system works and improves the quality of the design
Three different physical models used in the development of the
orange juicer (IDSA, 2003)
Motivation- Designers often use physical models in idea generation and throughout the design process – more needs to be know about the cognitive impact
NSF CMMI-1322335
Current Work Design by Analogy: Meta-Analogy by Performance Specification (MAPS)• Goal: Retrieve appropriate analogues based on
both performance specifications and function.• Current computer tools only use function
Humpback Whale Fin
Shape
Wind Turbine Blade
Vertical Wind
Turbine
Reliability
Drag
Lift
Power Output
EfficiencyDesired
Performance
Illustration of what MAPS output might look like for a set of analogues.
Collaborative Project with Prof. Cameron Turner (Colorado School of Mines) NSF CMMI- 1304383
Proposed overview of MAPS Process. MAPS is in development
Bioinspired Design Methods’ Impact
• Measure how engineering creativity changes from freshman to seniors
• Determining the impact of different Bioinspired Methods– Bio TRIZ– Function-based bioinspired design– Case studies
NSF EEC- 1025155 Co-PIs McAdams & McTigue
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Impact of Maker Spaces!Objectives: • Determine the impact of the maker spaces on students• Identify best practices and novel approaches for maker
spaces.
We believe university maker spaces:• increase student retention• improve students’ engineering
innovation skills• increase design confidence • improve deep technical knowledge
of engineering
Studying Complex Systems Engineering
Mental Model Hypothesis
Fixation Hypothesis
Sunk Cost Hypothesis
Controlled ExperimentQualitative Study- Grad teamQualitative Existing Project
Triangulation of Results
Research Question: How do physical representations impact design cognition during early concept generation?
Viswanathan, V., and Linsey, J., 2014, “Spanning the Complexity Chasm: A Research Method to Move from Simple to Complex Engineering Systems,” Artificial Intelligence for Engineering Design, Analysis and Manufacturing (AIEDAM)- Special Issue on Complex Systems, 28(4), accepted.As Green As
It Gets, 2011
Hypothesis
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Other Possible Applications of My Research
• Experts predictions of design consequences
• Eliciting analogies used for making choices
• Evaluation of inferences based on analogical reasoning
Thank-you.Questions?
Julie LinseyAssistant Professor
Georgia Institute of [email protected]
https://sites.google.com/site/idreemlaboratory/http://www.me.gatech.edu/faculty/linsey
Acknowledgements National Science Foundation: CMMI-1000954, DUE-0942400,
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Study Approaches
• Controlled Experiments or Quasi-Experimental Designs
• Mixed Methods• Survey and Interviews• Empirical Product Studies of Existing
Documents (qualitative)
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Types of Research Activities the IDREEM Lab Focuses on
• Developing new methods to support innovation/invention.
• Which approach or method is best?• Quantifying early phase design
outcomes.• Identification of Design Principles
(e.g., DFM, DFX)