Evaluation Input Screen for Streaming Content Reliability
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Solution Overview
Problem
Existing motion picture viewing systems, such as YouTube, do not ensure accurate evaluations of content as users are not forced to provide feedback after watching a movie, leading to incomplete and unreliable evaluation data.
Innovation Solution
A program that requires users to input an evaluation after watching a content by displaying an evaluation input screen only after the content has been reproduced, ensuring that evaluations are made before proceeding to next processing steps, allowing multiple users to input evaluations and storing this data for analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users are allowed to freely browse content without mandatory evaluation, then ease of operation is improved, but reliability of evaluation data deteriorates
Solution Approach 1:
The system displays an evaluation screen immediately after content reproduction ends, requiring users to provide evaluation input before proceeding to any other operation. This preliminary action ensures that evaluation data is collected reliably while maintaining ease of operation through a streamlined process that integrates evaluation into the natural viewing workflow.
2Reliability
If multiple users are required to input evaluations separately, then reliability of evaluation data is improved, but device complexity increases
Solution Approach 1:
The system combines multiple users' evaluation inputs into a single unified evaluation screen that can accommodate inputs from multiple persons. By merging the evaluation functionality into one integrated interface rather than requiring separate processes for each user, the system maintains high reliability through multiple inputs while avoiding increased device complexity.
3Reliability
If evaluation input is made mandatory before proceeding, then reliability of evaluation data is improved, but ease of operation deteriorates
Solution Approach 1:
The evaluation screen is designed to be self-explanatory and self-contained, with clear instructions and intuitive controls that require minimal user guidance. The system automatically manages the evaluation process flow, prompting users appropriately and enabling them to complete evaluation quickly without complex procedures, thus maintaining ease of operation while ensuring reliable data collection.
Data Source
AI summary
When distribution of a content from a distribution server is started, a CPU carries out streaming-play of the received content. When reproduction of the content ends, the CPU determines whether a vote history brought in correspondence with a corresponding motion picture ID is stored in a flash memory or not. When the vote history brought in correspondence with the corresponding motion picture ID is not stored in the flash memory, the CPU causes a monitor to display a user evaluation input screen so as to accept evaluation of the content. A process does not proceed to next processing until evaluation is input.