Research Papers

Formalizing and Exploring the Transferability of Inclusive Design Rules

[+] Author and Article Information
Shraddha Sangelkar

e-mail: shraddha.sangelkar@gmail.com

Daniel A. McAdams

e-mail: dmcadams@tamu.edu
Department of Mechanical Engineering,
3123 TAMU,
Texas A&M University,
College Station, TX 77843

1Corresponding author.

Contributed by the Design Theory and Methodology Committee of ASME for publication in the Journal of Mechanical Design. Manuscript received October 4, 2012; final manuscript received May 13, 2013; published online July 2, 2013. Assoc. Editor: Janet K. Allen.

J. Mech. Des 135(9), 091004 (Jul 02, 2013) (12 pages) Paper No: MD-12-1491; doi: 10.1115/1.4024725 History: Received October 04, 2012; Revised May 13, 2013

Inclusive products intend to equally serve people with and without a disability. This paper focuses on creating guidelines that are applicable during the early stages of designing inclusive products. Actionfunction diagrams are used to formally compare existing inclusive products to their typical counterparts to study the design similarities and differences in the context of accessibility. A data mining technique, association rule learning, generates rules through comparison of inclusive and typical product data. In prior work, generation of function-based association rules for inclusive design has been performed on a smaller scale using this method; this research seeks to extend and formalize the same method, by studying a larger set of inclusive products. Trends in the generation of rules are analyzed indicating that a finite set of rules should be applicable to an arbitrarily large set of products. Further, the rules are analyzed in detail to evaluate their potential for transferability and reuse from one product to another. Of particular interest is the transferability of the rules across apparently disparate product domains such as garden tools and residential furniture. The conceptual and physical similarity of the rules is discussed in the context of creating inclusive product families based on a platform of inclusive elements.

Copyright © 2013 by ASME
Topics: Design
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Grahic Jump Location
Fig. 1

Rule generation process to study the inclusive design characteristics

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Fig. 2

The actionfunction diagram for a typical can opener (top) and an inclusive can opener (bottom) [3]

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Fig. 7

Product pairs in cluster #2 sharing rules 1 and 12 that suggests addition of a functionality to secure hand while the user “grasps”

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Fig. 8

Product pairs in cluster #3 sharing rules 1 and 19 that suggests a parametric change to guide solid function to aid “pushing with fingers”

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Fig. 9

Product pairs in cluster #4 sharing rules 1 and 11 that suggests a morphological change to the cutter

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Fig. 13

Transferability of rule 1 between an inclusively designed spatula (left) and a trowel (right) in form of an inclusive add-on module

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Fig. 6

Product pairs in cluster #1 sharing rules 1 and 24 that suggests a morphological change to function of transferring human energy for easier “manipulating”

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Fig. 5

Clusters of inclusive products sharing rule 1 that recommends a parametric change to the function position hand for better “grasping”

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Fig. 10

Clusters of architectural product pairs sharing rules 5, 6, 7, and 9 that deal with a parametric change to allow gross user access

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Fig. 11

Clusters of product pairs sharing rules 8, 10, 16, and 17

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Fig. 12

Clusters of product pairs consisting of a variety of products

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Fig. 4

Number of filtered association rules after postprocessing against the number of product pairs in the dataset

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Fig. 3

Total number of association rules generated by the Apriori algorithm against the number of product pairs in the dataset



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