Gaze-Based User ID Entry System for Online Games
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Solution Overview
Problem
Users face difficulties in accurately and efficiently entering complex user IDs during online interactions, such as in online games, due to their cumbersome nature and the time-consuming process of manual input.
Innovation Solution
An information processing device and system that utilizes line-of-sight detection to analyze a user's gaze on displayed information, generating a list of user IDs based on attention duration, allowing for easy selection and entry of the most recently focused user IDs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual input method is used for entering user IDs, then accuracy of user ID entry can be ensured, but time required for entry increases significantly
Solution Approach 1:
The system performs preliminary action by automatically generating and displaying a list of candidate user IDs based on line-of-sight detection results before the user needs to enter a user ID. This allows the user to simply select from pre-filtered options rather than manually typing the complete ID, thus ensuring accuracy while reducing entry time.
Solution Approach 2:
The system introduces an intermediary mechanism (line-of-sight detection and automatic list generation) between the user and the user ID entry process. Instead of directly typing the user ID, the user's gaze is detected and processed to generate a candidate list, which then serves as an intermediate step facilitating easier and more accurate selection.
2Measurement precision
If complex user IDs are used to ensure uniqueness, then user identification accuracy is improved, but ease of operation deteriorates
Solution Approach 1:
The system generates and displays a list of candidate user IDs that match the user's line-of-sight target before the user needs to input the ID. This preliminary action allows users to select from pre-processed options rather than manually entering complex IDs, maintaining identification accuracy while improving ease of operation.
Solution Approach 2:
The system creates a simplified copy or representation of the complex user ID problem by generating a list of candidate IDs based on gaze detection. Instead of requiring users to directly handle complex ID strings, the system creates an intermediate list that preserves the uniqueness requirement while simplifying the interaction.
3Productivity
If automatic line-of-sight detection is implemented, then user ID entry efficiency is improved, but device complexity increases
Solution Approach 1:
The system achieves multi-functionality by using the line-of-sight detection mechanism not only for user ID selection but potentially for other interaction tasks as well. This universal approach justifies the added complexity by providing broad benefits across multiple functions, improving overall productivity beyond just user ID entry.
Data Source
AI summary
An image analysis unit that detects a user's point of gaze with respect to display information of a display unit on the basis of an image captured by a camera, a user attention information analysis unit that extracts attention information on which a user's point of gaze had been for a prescribed length of time or longer and generates a list including information corresponding to the attention information, and a display information generation unit that generates a display list including list configuration data. The user attention information analysis unit continuously inputs user's point-of-gaze information, and executes sorting processing for setting, in the top of the list, latest attention information or attention information on which the user's point of gaze is for a long length of time. The display information generation unit generates a display list including top data of list configuration data, for example.