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

Noel León, Roberto Duran, Humberto Aguayo, Myrna Flores

Resultado de la investigación

1 Cita (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.

Idioma originalEnglish
Título de la publicación alojadaGrowth and Development of Computer-Aided Innovation - 3rd IFIP WG 5.4 Working Conference, CAI 2009, Proceedings
EditoresRunhua Tan, Guozhong Cao, Noel Leon
Número de páginas8
ISBN (versión digital)9783642033452
EstadoPublished - 1 ene 2009
Publicado de forma externa
EventoIFIP Advances in Information and Communication Technology -
Duración: 1 ene 2009 → …

Serie de la publicación

NombreIFIP Advances in Information and Communication Technology
ISSN (versión impresa)1868-4238
ISSN (versión digital)1868-422X


ConferenceIFIP Advances in Information and Communication Technology
Período1/1/09 → …

All Science Journal Classification (ASJC) codes

  • Gestión y sistemas de información
  • Redes de ordenadores y comunicaciones
  • Sistemas de información


Profundice en los temas de investigación de 'Predicting innovation acceptance by simulation in virtual environments (Theoretical foundations)'. En conjunto forman una huella única.

Citar esto