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)

Resumen

© IFIP International Federation for Information Processing 2009. 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 alojadaPredicting innovation acceptance by simulation in virtual environments (Theoretical foundations)
Páginas9-16
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
Volumen304
ISSN (versión impresa)1868-4238

Conference

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

Huella dactilar

Virtual reality
Innovation
Evolutionary algorithms
Feedback
Virtual environments
Simulation
Acceptance
Virtual worlds
Problem solving
Information processing
Software
Methodology
Prototype
Federation
New products
Scenarios

All Science Journal Classification (ASJC) codes

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

Citar esto

León, N., Duran, R., Aguayo, H., & Flores, M. (2009). Predicting innovation acceptance by simulation in virtual environments (Theoretical foundations). En Predicting innovation acceptance by simulation in virtual environments (Theoretical foundations) (pp. 9-16). (IFIP Advances in Information and Communication Technology; Vol. 304).
León, Noel ; Duran, Roberto ; Aguayo, Humberto ; Flores, Myrna. / Predicting innovation acceptance by simulation in virtual environments (Theoretical foundations). Predicting innovation acceptance by simulation in virtual environments (Theoretical foundations). 2009. pp. 9-16 (IFIP Advances in Information and Communication Technology).
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León, N, Duran, R, Aguayo, H & Flores, M 2009, Predicting innovation acceptance by simulation in virtual environments (Theoretical foundations). En Predicting innovation acceptance by simulation in virtual environments (Theoretical foundations). IFIP Advances in Information and Communication Technology, vol. 304, pp. 9-16, IFIP Advances in Information and Communication Technology, 1/1/09.

Predicting innovation acceptance by simulation in virtual environments (Theoretical foundations). / León, Noel; Duran, Roberto; Aguayo, Humberto; Flores, Myrna.

Predicting innovation acceptance by simulation in virtual environments (Theoretical foundations). 2009. p. 9-16 (IFIP Advances in Information and Communication Technology; Vol. 304).

Resultado de la investigación

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León N, Duran R, Aguayo H, Flores M. Predicting innovation acceptance by simulation in virtual environments (Theoretical foundations). En Predicting innovation acceptance by simulation in virtual environments (Theoretical foundations). 2009. p. 9-16. (IFIP Advances in Information and Communication Technology).