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.

Download

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

Download (460kB) | Preview

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:
Creators
Email
Nik Ismail, Nik Mohamad Farid
UNSPECIFIED
Subjects: 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: https://ir.uitm.edu.my/id/eprint/19053

ID Number

19053

Indexing


View in Google Scholar

Edit Item
Edit Item