18274657. PRODUCT DESIGN GENERATION SUPPORT DEVICE, PRODUCT DESIGN GENERATION SUPPORT METHOD AND COMPUTER READABLE MEDIUM simplified abstract (NEC Corporation)
Contents
- 1 PRODUCT DESIGN GENERATION SUPPORT DEVICE, PRODUCT DESIGN GENERATION SUPPORT METHOD AND COMPUTER READABLE MEDIUM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 PRODUCT DESIGN GENERATION SUPPORT DEVICE, PRODUCT DESIGN GENERATION SUPPORT METHOD AND COMPUTER READABLE MEDIUM - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 How does the estimation model learn the relation between product information and person attributes?
- 1.11 What are the potential limitations of this technology in accurately estimating consumer opinions and line-of-sight information?
- 1.12 Original Abstract Submitted
PRODUCT DESIGN GENERATION SUPPORT DEVICE, PRODUCT DESIGN GENERATION SUPPORT METHOD AND COMPUTER READABLE MEDIUM
Organization Name
Inventor(s)
PRODUCT DESIGN GENERATION SUPPORT DEVICE, PRODUCT DESIGN GENERATION SUPPORT METHOD AND COMPUTER READABLE MEDIUM - A simplified explanation of the abstract
This abstract first appeared for US patent application 18274657 titled 'PRODUCT DESIGN GENERATION SUPPORT DEVICE, PRODUCT DESIGN GENERATION SUPPORT METHOD AND COMPUTER READABLE MEDIUM
Simplified Explanation
The acquisition unit acquires a design image related to the target product's design. The estimation unit uses the design image and an estimation model to estimate opinion information and line-of-sight information of a target person regarding the design of the target product. The output unit then outputs the estimated information.
- Acquisition unit acquires design image of target product
- Estimation unit uses image and model to estimate opinion and line-of-sight information
- Output unit outputs estimated information
Potential Applications
This technology could be applied in market research to understand consumer opinions and preferences regarding product designs. It could also be used in product development to gather feedback on design concepts.
Problems Solved
This technology helps in understanding consumer perceptions and preferences, which can aid in creating products that better meet customer needs. It also streamlines the process of collecting feedback on product designs.
Benefits
The technology allows for more efficient and accurate estimation of consumer opinions and line-of-sight information regarding product designs. This can lead to improved product development processes and ultimately, more successful products in the market.
Potential Commercial Applications
One potential commercial application of this technology could be in the fashion industry, where understanding consumer preferences is crucial for designing successful clothing lines. Another application could be in the automotive industry, to gather feedback on car designs.
Possible Prior Art
One possible prior art could be market research surveys or focus groups used to gather consumer opinions on product designs. Another could be eye-tracking technology used to study consumer behavior and preferences.
Unanswered Questions
How does the estimation model learn the relation between product information and person attributes?
The abstract does not provide details on the specific methodology used by the estimation model to learn the relation between product information and person attributes.
What are the potential limitations of this technology in accurately estimating consumer opinions and line-of-sight information?
The abstract does not address any potential limitations or challenges that may arise in accurately estimating consumer opinions and line-of-sight information using this technology.
Original Abstract Submitted
The acquisition unit acquires a design image relating to the design of the target product. The estimation unit uses the design image and an estimation model and estimates opinion information and line-of-sight information of a target person regarding the design of the target product. The estimation model is a model obtained by switching persons and products in various ways to learn the relation between, on the one hand, training product information, including product design images, and training attribute information about persons, and, on the other hand, training line-of-sight information of the persons regarding the product designs and training opinion information of the persons regarding the product designs. The output unit outputs the line-of-sight information and the opinion information estimated by the estimation unit.
