Hostname: page-component-78c5997874-mlc7c Total loading time: 0 Render date: 2024-11-10T21:17:24.815Z Has data issue: false hasContentIssue false
  • English
  • Français

Toward automating affordance-based design

Published online by Cambridge University Press:  28 July 2015

Ivan Mata ,
Georges Fadel  and
Gregory Mocko
Ivan Mata
Affiliation:
Department of Mechanical Engineering, Clemson University, Clemson, South Carolina, USA
Georges Fadel*
Affiliation:
Department of Mechanical Engineering, Clemson University, Clemson, South Carolina, USA
Gregory Mocko
Affiliation:
Department of Mechanical Engineering, Clemson University, Clemson, South Carolina, USA
*
Reprint requests to: Georges Fadel, Department of Mechanical Engineering, 202 Fluor Daniel Building. Clemson University, Clemson SC 29634, USA. E-mail: fgeorge@clemson.edu
Get access Rights & Permissions [Opens in a new window]

Abstract

The objective of this research is to develop a computational representation of knowledge associated with affordance-based design (ABD). The ABD ontology formalizes the entities, properties, and relationships within the domains of ABD. The ontology enables designers to describe the affordances of existing products and specify the intended affordances of future products in line with ABD. The ontology consists of 14 concepts and 5 relationships. The ontology is developed using Protégé 4.3 and DL-query to query and reason with the ontology. The ontology is demonstrated using a consumer vacuum cleaner. The formal ontology serves as the basis for developing computer support for ABD applications. When implemented, these design tools will help designers manage the affordances of artifacts being designed, specifying the interacting entities of every affordance when a three-dimensional model of the artifact is available. Further, these software tools could be used to support ABD methods.

Keywords

AffordanceAffordance-Based DesignAffordance-Based Design AutomationOntology
Type
Special Issue Articles
Information
AI EDAM , Volume 29 , Special Issue 3: Affordances in Design , August 2015 , pp. 297 - 305
Copyright
Copyright © Cambridge University Press 2015 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

Ahmed, S., Kim, S., & Wallace, K.M. (2007). A methodology for creating ontologies for engineering design. Journal of Computing and Information Science in Engineering 7(2), 132–140. doi:10.1115/1.2720879CrossRefGoogle Scholar
Fenves, S.J. (2002). A core product model for representing design information. In NISTIR 6736. Washington, DC: National Institute of Standards and Technology.Google Scholar
Gibson, J.J. (1979). The theory of affordances. In The Ecological Approach to Visual Perception. Hillsdale, NJ: Erlbaum.Google Scholar
Grosse, I.R. (2014). Ontologies for engineering knowledge modeling, management, and sharing. eDesign UMassAmherst. Accessed at http://edesign.ecs.umass.edu/ontology-downloads/Google Scholar
Gruber, T.R. (1995). Toward principles for the design of ontologies used for knowledge sharing. International Journal of Human–Computer Studies 43(5–6), 907–928.CrossRefGoogle Scholar
Hu, J., & Fadel, G.M. (2012). Categorizing affordances for product design. Proc. ASME IDETC/CIE 2012, pp. 1–15. Chicago: ASME.Google Scholar
Maier, J.R.A., & Fadel, G.M. (2001). Affordance: the fundamental concept in engineering design. Proc. ASME IDETC/CIE 2001, Paper No. DETC2001/DTM21700, Pittsburgh, PA.Google Scholar
Maier, J.R.A., & Fadel, G.M. (2007). The affordance structure matrix—a concept exploration and attention directing tool for affordance based design. Proc. ASME IDETC/CIE 2007, pp. 1–11, Paper No. DETC2007-34526, Las Vegas, NV.Google Scholar
Maier, J.R.A., & Fadel, G.M. (2009 a). Affordance based design: a relational theory for design. Research in Engineering Design 20(1), 13–27.CrossRefGoogle Scholar
Maier, J.R.A., & Fadel, G.M. (2009 b). Affordance-based design methods for innovative design, redesign and reverse engineering. Research in Engineering Design 20(4), 225–239.CrossRefGoogle Scholar
Mata, I., Fadel, G.M., & Mocko, G. (2014). Affordance based design ontology (ABDO). Accessed at http://people.clemson.edu/~gmocko/ontology_public/Affordance_Ontology.owlGoogle Scholar
Nguyen, M.T., Guarneri, P., Fadel, G.M., & Mata, I. (2012). Genetic algorithms applied to affordance based design. In ASME IDETC/CIE 2012, pp. 1–7, Paper No. DETC2012-70332, Chicago.Google Scholar
Norman, D.A. (1988). The Design of Everyday Things. New York: Currency Doubleday.Google Scholar
Noy, N.F., & McGuinness, D.L. (2001). Ontology Development 101: A Guide to Creating Your First Ontology. Stanford, CA: Stanford Knowledge Systems Laboratory.Google Scholar
Ortmann, J., & Kuhn, W. (2010). Affordances as Qualities. Munster, Germany: University of Munster, Institute of Geoinformatics.Google Scholar
Sanders, J.T. (1997). An ontology of affordances. Ecological Psychology 9(1), 97–112.CrossRefGoogle Scholar
Turvey, M.T. (1992). Affordances and prospective control: an outline of the ontology. Ecological Psychology 4(3), 173–187.CrossRefGoogle Scholar
Varadarajan, K.M., & Vincze, M. (2012). AfRob: the affordance network ontology for robots. Proc. 2012 IEEE/RSJ Int. Conf. Intelligent Robots and Systems, pp. 1343–1350. Vilamoura, Algarve, Portugal: IEEE.Google Scholar