18205442. DETERMINATION DEVICE, DETERMINATION METHOD AND STORAGE MEDIUM simplified abstract (NEC Corporation)
Contents
DETERMINATION DEVICE, DETERMINATION METHOD AND STORAGE MEDIUM
Organization Name
Inventor(s)
Masanori Tsujikawa of Tokyo (JP)
DETERMINATION DEVICE, DETERMINATION METHOD AND STORAGE MEDIUM - A simplified explanation of the abstract
This abstract first appeared for US patent application 18205442 titled 'DETERMINATION DEVICE, DETERMINATION METHOD AND STORAGE MEDIUM
Simplified Explanation
The patent application describes a determination device X that is designed to assess the familiarity of a subject with a test. The device includes three main components: attribute data acquisition means X, trial quantity estimation means X, and familiarity determination means X.
- The attribute data acquisition means X collects data that indicates the attribute of the subject.
- The trial quantity estimation means X uses the attribute data to estimate the required trial quantity, which is the number of trials needed for the subject to become familiar with the test.
- The familiarity determination means X determines whether the subject is familiar with the test based on the required trial quantity.
Potential applications of this technology:
- Education and training: The determination device can be used in educational settings to assess the familiarity of students with certain subjects or tests. It can help educators identify areas where students may need additional practice or support.
- Skill assessment: The device can be utilized in various industries to evaluate the familiarity of individuals with specific skills or tasks. This can be useful in hiring processes or performance evaluations.
- Product testing: Companies can use the device to determine the familiarity of consumers with their products or services. This information can be valuable for market research and product development.
Problems solved by this technology:
- Subjective assessment: The determination device provides an objective method to assess the familiarity of a subject with a test, eliminating the need for subjective judgments.
- Efficient resource allocation: By estimating the required trial quantity, the device helps optimize the allocation of resources, such as time and effort, by focusing on areas where familiarity is lacking.
- Personalized learning: The device can tailor educational or training programs based on the familiarity level of each individual, providing a more personalized and effective learning experience.
Benefits of this technology:
- Accuracy: The device uses attribute data to estimate the required trial quantity, providing a more accurate assessment of familiarity compared to traditional methods.
- Time and cost savings: By efficiently estimating the required trial quantity, the device helps save time and resources by avoiding unnecessary repetitions or overtraining.
- Improved decision-making: The familiarity determination provided by the device can assist in making informed decisions, such as selecting the most suitable candidates or identifying areas for improvement in products or services.
Original Abstract Submitted
The determination device X mainly includes an attribute data acquisition means X, a trial quantity estimation means X, and a familiarity determination means X. The attribute data acquisition means X is configured to acquire attribute data indicating an attribute of a subject. The trial quantity estimation means X is configured to estimate a required trial quantity, which is a trial quantity to be required for the subject to become familiar with a test undergone by the subject, based on the attribute data. The familiarity determination means X is configured to determine whether or not the subject is familiar with the test, based on the required trial quantity.
