Predicting innovation acceptance by simulation in virtual environments (Theoretical foundations)

Noel León, Roberto Duran, Humberto Aguayo, Myrna Flores

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)


This paper extends the current development of a methodology for Computer Aided Innovation. It begins with a presentation of concepts related to the perceived capabilities of virtual environments in the Innovation Cycle. The main premise establishes that it is possible to predict the acceptance of a new product in a specific market, by releasing an early prototype in a virtual scenario to quantify its general reception and to receive early feedback from potential customers. The paper continues to focus this research on a synergistic extension of techniques that have their origins in optimization and innovation disciplines. TRIZ (Theory of Inventive Problem Solving), extends the generation of variants with Evolutionary Algorithms (EA) and finally to present the designer and the intended customer, creative and innovative alternatives. All of this developed on a virtual software interface (Virtual World). The work continues with a general description of the project as a step forward to improve the overall strategy.

Original languageEnglish
Title of host publicationGrowth and Development of Computer-Aided Innovation - 3rd IFIP WG 5.4 Working Conference, CAI 2009, Proceedings
EditorsRunhua Tan, Guozhong Cao, Noel Leon
Number of pages8
ISBN (Electronic)9783642033452
Publication statusPublished - 1 Jan 2009
Externally publishedYes
EventIFIP Advances in Information and Communication Technology -
Duration: 1 Jan 2009 → …

Publication series

NameIFIP Advances in Information and Communication Technology
ISSN (Print)1868-4238
ISSN (Electronic)1868-422X


ConferenceIFIP Advances in Information and Communication Technology
Period1/1/09 → …

Bibliographical note

Publisher Copyright:
© IFIP International Federation for Information Processing 2009.

Copyright 2020 Elsevier B.V., All rights reserved.

All Science Journal Classification (ASJC) codes

  • Information Systems and Management
  • Computer Networks and Communications
  • Information Systems


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