Abstract
© 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.
| Original language | English |
|---|---|
| Title of host publication | Predicting innovation acceptance by simulation in virtual environments (Theoretical foundations) |
| Pages | 9-16 |
| Number of pages | 8 |
| ISBN (Electronic) | 9783642033452 |
| Publication status | Published - 1 Jan 2009 |
| Externally published | Yes |
| Event | IFIP Advances in Information and Communication Technology - Duration: 1 Jan 2009 → … |
Publication series
| Name | IFIP Advances in Information and Communication Technology |
|---|---|
| Volume | 304 |
| ISSN (Print) | 1868-4238 |
Conference
| Conference | IFIP Advances in Information and Communication Technology |
|---|---|
| Period | 1/1/09 → … |
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All Science Journal Classification (ASJC) codes
- Information Systems and Management
- Computer Networks and Communications
- Information Systems
Cite this
León, N., Duran, R., Aguayo, H., & Flores, M. (2009). Predicting innovation acceptance by simulation in virtual environments (Theoretical foundations). In Predicting innovation acceptance by simulation in virtual environments (Theoretical foundations) (pp. 9-16). (IFIP Advances in Information and Communication Technology; Vol. 304).