The Four-Box Method of Problem Specification and Analogy Evaluation in Biologically Inspired Design

Author(s):  
Michael Helms ◽  
Ashok K. Goel

The process of biologically inspired design is fundamentally analogical; given a design problem, the process retrieves potentially multiple biological analogues as potential sources of inspiration. The selection of a specific analogue for idea generation naturally has a strong influence on the final design. But what makes one biological analogue better than another for a given design problem? In the context of a classroom on biologically inspired design, we found that interdisciplinary design teams often struggle with this question. In this paper, we describe a Four-Box method that identifies function, operating environment, constraints, and performance criteria as dimensions for matching biological analogues with the design problem. We also present some initial results from a classroom implementation of the Four-Box method of analogy evaluation: The results suggest that the student designers found the Four-Box method both useful and usable.

2014 ◽  
Vol 136 (11) ◽  
Author(s):  
Michael Helms ◽  
Ashok K. Goel

Searching for biological analogies appropriate for design problems is a core process of biologically inspired design (BID). Through in situ observations of student BIDs, we discovered that student designers struggle with two issues that bookend the problem of search: design problem formulation, which generates the set of conditions to be used for search; and evaluation of the appropriateness of the retrieved analogies, which depends both on problem formulation and the retrieved analogy. We describe a method for problem formulation and analogy evaluation in BID that we call the Four-Box method. We show that the Four-Box method can be rapidly and accurately used by designers for both problem formulation and analogy evaluation, and that designers find the method valuable for the intended tasks.


1999 ◽  
Author(s):  
Zbigniew M. Bzymek

Abstract This paper discusses design resulting from a unique design competition as an indicator of the verification of scientific design principles as given by Shu Nam 1990. A single enactment of the design problem is used as a case study to illustrate different points of this paper. The focus of the paper is on the creative aspect of idea generation and the checking of subsystems as well as the complete system enactment for function and performance. In an annual design competition the same problem was issued to a number of design teams. The number of teams varied from nine to eighteen in different years and two to three designers were in a team. The design was performed by seniors in mechanical engineering. To generate concepts, Osborn’s method of brain storming was applied. The brain storming was done in the groups of two to three designers. It was applied to the entire system and subsequently to subsystems. After the abstract design was accomplished, prototypes were built and tested. A competition was held in which each design group prototype earned a figure of merit score based on its performance in a performance run. The figure of merit formula used to dtetermine the winner of the competition and race course for performance run were given to the designers at the time they were given the design problem statement. The results were verified by an expert evaluation with Mechanical Engineering faculty members serving as experts. Every prototype was competing with others in the same exact conditions. The results of the design competition provide a unique set of data which may be considered an experiment in design technique. Some concluding remarks concerning design methodology are stated.


2021 ◽  
Vol 1 ◽  
pp. 3091-3100
Author(s):  
Nicklas Werge Svendsen ◽  
Torben Anker Lenau ◽  
Claus Thorp Hansen

AbstractResearch in biologically-inspired design (BID) practice often focus on team composition or ideation based on an already discovered fascinating biological solution principle. However, how are the outcome of the early design phases affecting BID projects' quality?In this study, historical data from 91 reports from student teams documenting their BID efforts from a 3-week course constitute the data source. Thus, the relationship between design problem types, function types, functions descriptions and BID projects' quality is addressed.The study show that especially design problem types and function descriptions affect the BID projects' quality. For instance, BID projects dealing with open-ended problems yield better results than redesign problems with existing solutions operating in a very domain-limited solution space. Next, BID projects obtain the best results when using functions as drivers for analogy searching rather than properties. Finally, BID projects with certain function types seem to have more complicated conceptualization phases.


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