Knowledge based computational support system to enhance industrial design: conceptual design decision making / Nik Mohamad Farid Nik Ismail

Nik Ismail, Nik Mohamad Farid (2012) Knowledge based computational support system to enhance industrial design: conceptual design decision making / Nik Mohamad Farid Nik Ismail. In: The Doctoral Research Abstracts. IPSis Biannual Publication, 1 . Institute of Graduate Studies, UiTM, Shah Alam.

Abstract

faced by industrial designers in understanding new designs in the process of sketching ideas. In exploring new concepts, industrial designers are required to support their reasoning based on concrete objects and ideas. In doing so, industrial designers normally use sketches to bring forward the ideas and tailor the explanations based on prior knowledge to come up with the new concepts. It is often observed that there is a lack of interactive pedagogical agents that can coach industrial designer“s reasoning and to adapt the explanations to their cognitive state. The design of such agents can be based on learning theories that explains how industrial designers understand new concepts, as well as from studies on how industrial designers support conceptual understanding. Further goal of this research is to develop a computational framework to inform the designers of a pedagogical agent capable of engaging in a drawing dialogue that supports industrial designer“s conceptual understanding.

Metadata

Item Type: Book Section
Creators:
CreatorsID Num. / Email
Nik Ismail, Nik Mohamad FaridUNSPECIFIED
Subjects: Q Science > QA Mathematics > Instruments and machines > Electronic computers. Computer science
Q Science > QA Mathematics > Instruments and machines > Electronic computers. Computer science
Divisions: Universiti Teknologi MARA, Shah Alam > Institut Pengajian Siswazah (IPSis) : Institute of Graduate Studies (IGS)
Series Name: IPSis Biannual Publication
Volume: 1
Item ID: 19053
Uncontrolled Keywords: Abstract; Abstract of thesis; Newsletter; Research information; Doctoral graduates; IPSis; IGS; UiTM; computational support system
URI: http://ir.uitm.edu.my/id/eprint/19053

Download

[img]
Preview
Text
ABS_NIK MOHAMAD FARID NIK ISMAIL TDRA VOL 1 IGS 12.pdf

Download (460kB) | Preview

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year