Learning State Feedback Using Bio Signals and Face Recognition
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Solution Overview
Problem
Existing learning state monitoring technologies fail to provide immediate feedback to improve learning habits and efficiency, relying solely on notifications without addressing the underlying issues, making it difficult to enhance learning attitudes and focus.
Innovation Solution
A system that collects bio and face recognition information to analyze the learner's state and provides feedback through lighting color changes, incense spray, and music output to enhance focus and improve learning efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If learning state monitoring technology simply notifies learners of problematic states through notification screens or sounds, then the learner is informed of the current situation, but the learner cannot immediately improve the learning state or effectively improve learning habits
Solution Approach 1:
The system implements a feedback mechanism that provides learners with actionable guidance based on their learning state. When the analysis device detects problematic learning states through bio information and face recognition, it generates specific feedback messages that guide learners on how to improve their state, rather than merely notifying them of the problem. This transforms passive notification into active guidance that directly improves learning efficiency.
Solution Approach 2:
The learning state analysis device acts as an intermediary between the learner and the learning process. It collects bio information and face recognition data, analyzes the learning state, and provides feedback that mediates the improvement of learning habits. This intermediary process enables immediate state improvement by translating raw data into actionable feedback, bridging the gap between problem detection and effective correction.
2Loss of information
If learning information is provided on a separate menu after learning for analysis, then the learner can review learning information, but immediate feedback during learning is not provided making it difficult to effectively improve learning habits
Solution Approach 1:
The system performs learning state analysis and provides feedback during the learning process itself, rather than after learning completes. The analysis device continuously monitors bio information and face recognition data, enabling real-time detection of learning state changes and immediate provision of feedback. This preliminary action during learning allows learners to adjust their state promptly, preventing loss of learning momentum and effectively improving learning habits in the moment.
3Productivity
If multiple types of feedback (lighting color change, illuminance change, incense spray, sound source playback) are provided based on learning state, then learning efficiency is improved through direct intervention, but device complexity increases
Solution Approach 1:
The feedback device is designed with multi-functionality, capable of providing multiple types of feedback (lighting color change, illuminance change, incense spray, sound source playback) through a single integrated device. This universal design allows the system to address different learning state problems with appropriate feedback types without requiring separate devices for each feedback mechanism, thereby improving learning efficiency while managing device complexity through consolidation.
Data Source
AI summary
Proposed are a system and a method for supporting learning, which can increase learning attitudes and efficiency by determining a learning state of a learner by using learner's bio information and face recognition information and providing a feedback of lighting color, incense spray, and music output based on the learning state. The proposed system for supporting learning configures the learning state including a bio state and a learning focus based on the learner's bio information and the face recognition information during learning, and provides, to the learner, at least one feedback of lighting color change, illuminance change, incense spray, and sound source playback in accordance with the learning state.