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

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.