Dialogue Control System Using Distance-Based Authentication
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Solution Overview
Problem
Existing computer systems that perform dialogue with users face challenges in achieving high accuracy and response speed for dialogue content output, as they require separate authentication processes with differing accuracies, which can lead to delayed response times and inability to engage users not recorded in the authentication database, ultimately resulting in reduced user satisfaction and potential loss of service opportunities.
Innovation Solution
A computer system that uses an imaging device to measure the distance between the user and the device, executes an attribute estimation process if the distance exceeds a threshold, and performs authentication if closer, allowing for the selection of an appropriate algorithm to generate dialogue content, enabling quick and natural interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If two different authentication processes with differing accuracies are performed, then authentication accuracy is improved, but response speed deteriorates
Solution Approach 1:
The authentication process is segmented into two stages: a rough verification stage using facial images from a far distance camera, and a main verification stage using facial images from a near distance camera. This segmentation allows the system to perform quick initial authentication and then conduct more accurate verification only when necessary, resolving the contradiction between speed and precision.
Solution Approach 2:
The system performs preliminary rough verification using facial feature data extracted from far distance images before proceeding to main verification. This preliminary action filters out obvious non-matches quickly while preserving potential matches for more thorough verification, thereby improving overall response speed without sacrificing authentication accuracy.
2Measurement precision
If authentication database is used for user identification, then authentication accuracy is improved, but adaptability deteriorates
Solution Approach 1:
The system introduces an intermediary mechanism that combines database authentication with real-time facial recognition. When a user is not found in the database, the system uses the extracted facial feature data as an intermediary to perform attribute estimation and generate appropriate dialogue content, thereby maintaining adaptability while preserving authentication accuracy for known users.
Solution Approach 2:
The system changes the parameter of user identification from binary (in database or not) to continuous by using facial attribute estimation. This allows the system to adapt its behavior based on estimated attributes such as age, gender, and emotional state, enabling versatile dialogue content generation for both registered and unregistered users.
3Measurement precision
If more resources are allocated to authentication processes, then authentication accuracy is improved, but device complexity increases
Solution Approach 1:
The system applies partial action by performing only the necessary authentication depth based on the situation. For unregistered users or quick interactions, rough verification is sufficient. For registered users or critical interactions, main verification is performed. This partial action approach maintains accuracy when needed while reducing overall system complexity and resource requirements.
Data Source
AI summary
A computer system that performs in dialogue with a user and provides a prescribed service, comprising: an imaging device; a computer; and a generation device generating dialogue content on a basis of an algorithm for generating dialogue content. The computer couples to a database that stores an authentication image used for an authentication process that uses an image. The computer calculates a distance between the user and the imaging device; executes an attribute estimation process in a case where the distance is larger than a threshold, selects the algorithm on the basis of results of the attribute estimation process, and issues a notification of the selected algorithm to the generation device.