Nec corporation (20240095798). PRODUCT DESIGN GENERATION SUPPORT DEVICE, PRODUCT DESIGN GENERATION SUPPORT METHOD AND COMPUTER READABLE MEDIUM simplified abstract
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 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 20240095798 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 estimation model is obtained by analyzing the relation between training product information, training attribute information about persons, training line-of-sight information of the persons regarding product designs, and training opinion information of the persons regarding product designs. The output unit then outputs the estimated line-of-sight information and opinion information.
- Acquisition unit acquires design image of target product
- Estimation unit uses image and model to estimate opinion and line-of-sight information of target person
- Estimation model is obtained through analyzing various training data
- Output unit outputs estimated information
Potential Applications
This technology could be applied in market research, product design evaluation, and consumer behavior analysis.
Problems Solved
This technology helps in understanding consumer opinions and preferences regarding product designs, which can aid in improving product development and marketing strategies.
Benefits
The technology provides valuable insights into consumer perceptions, allowing companies to make informed decisions and create products that better meet customer needs.
Potential Commercial Applications
One potential commercial application could be in the field of market research services, where companies can utilize this technology to gather valuable data on consumer opinions and preferences.
Possible Prior Art
One possible prior art could be similar systems or methods used in market research or consumer behavior analysis.
Unanswered Questions
How does the estimation model handle different types of products and persons?
The estimation model is designed to learn the relation between various types of products and persons, allowing it to adapt to different scenarios and provide accurate estimations.
What are the limitations of this technology in terms of accuracy and reliability?
The accuracy and reliability of the estimations provided by this technology may vary depending on the quality of the training data and the complexity of the design images. Further research and testing are needed to determine the technology's limitations in real-world applications.
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.
