Nec corporation (20240105072). ANALYSIS APPARATUS, ANALYSIS METHOD, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM simplified abstract
Contents
- 1 ANALYSIS APPARATUS, ANALYSIS METHOD, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 ANALYSIS APPARATUS, ANALYSIS METHOD, AND NON-TRANSITORY 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
ANALYSIS APPARATUS, ANALYSIS METHOD, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM
Organization Name
Inventor(s)
Hirotaka Maeshima of Tokyo (JP)
Masami Sakaguchi of Tokyo (JP)
ANALYSIS APPARATUS, ANALYSIS METHOD, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240105072 titled 'ANALYSIS APPARATUS, ANALYSIS METHOD, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM
Simplified Explanation
The patent application describes an analysis apparatus capable of determining emotions of learners in online learning or examinations by analyzing face image data.
- Emotion data acquisition unit acquires emotion data related to learning from learners' face image data.
- Analysis data generation unit aggregates and compares emotion data of multiple learners to generate analysis data identifying emotions of individual learners.
Potential Applications
This technology can be applied in online education platforms to provide personalized feedback and support based on learners' emotions.
Problems Solved
1. Lack of personalized emotional support in online learning environments. 2. Difficulty in assessing learners' emotions accurately in online examinations.
Benefits
1. Improved understanding of learners' emotional states. 2. Enhanced support for learners based on their emotions. 3. Increased engagement and motivation in online learning.
Potential Commercial Applications
Optimizing online learning platforms for personalized emotional support and feedback.
Possible Prior Art
One possible prior art could be emotion recognition technology used in video conferencing software to analyze participants' emotions based on facial expressions.
Analyzing learners' emotions in online learning environments raises concerns about data privacy and the ethical use of emotional data. Institutions and platforms must ensure that learners' emotional data is securely stored and used only for educational purposes.
How can this technology be adapted for use in other fields outside of education, such as customer service or healthcare?
This technology can be adapted for customer service to analyze emotions of clients during interactions and provide personalized support. In healthcare, it can be used to assess patients' emotional states and tailor treatment plans accordingly.
Original Abstract Submitted
provided is an analysis apparatus or the like capable of appropriately determining emotions of a learner or an examinee in online learning or an online examination. an analysis apparatus includes: an emotion data acquisition unit that acquires emotion data regarding learning of each learner, the emotion data being obtained by performing emotion analysis on face image data of a plurality of learners in online learning; and an analysis data generation unit that aggregates emotion data regarding the plurality of learners, compares the emotion data of the plurality of learners, and generates analysis data in which the emotion data of one or more learners is identified.
