Human-Computer Interaction for Part Selection in Product Design

Proceedings of International Conference on Advanced Design Research and Education (ICADRE14)

Year: 2014
Editor: Edwin Koh, Victor Shim, Tan Woei Wan, Ian Gibson, Andi S. Putra
Author: Saeki, Naoaki; Papalambros , Panos Y.
Institution: [1] Nagoya University, Japan, [2] University of Michigan, Michigan
Section: User-Centred Design
Page(s): 106-110
DOI number: 10.3850/978-981-09-1348-9_021
ISBN: 978-981-09-1348-9

Abstract

We examine how humans can interact with a computing machine to explore good (least cost) combinations of parts in a functionally decomposed modular product. The machine uses data of parts usage from previous applications and generates the preferred combination that meets current design requirements. We use a Boolean function to represent functionality requirements and a classifier to estimate the Boolean function from incomplete previous parts usage information based on a decision tree. When no previous data are available, we propose an efficient data collection strategy. Results from simulation are presented to validate the algorithmic concept.

Keywords: User-Centred Design