Robot Authentication via Speech Urging and Acceleration Sensing
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Solution Overview
Problem
Existing robot authentication systems fail to seamlessly authenticate users and interact with them naturally, especially when the user's face is not within the camera's field angle or when the device is held unstably by a third party, leading to unsuccessful personal authentication and unnatural interaction.
Innovation Solution
An interactive device equipped with an authenticator, speech urger, and interaction controller that uses a combination of voice and image authentication, along with acceleration sensors to determine the holding state, and employs question templates to encourage user speech when authentication fails, ensuring natural interaction and personal information-based engagement when authenticated.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the robot uses voice authentication to identify users, then the authentication process becomes more convenient and contactless, but the authentication may fail when the user's face is not within the camera's field angle or when the device is held unstably
Solution Approach 1:
The robot dynamically adjusts its authentication approach based on real-time detection results. When the camera detects that the user's face is not within the field angle or when acceleration sensors indicate unstable holding, the robot switches from relying solely on voice authentication to actively guiding the user to adjust their position, thereby maintaining both convenience and reliability
Solution Approach 2:
The system implements a feedback mechanism where the camera and acceleration sensors continuously monitor the authentication conditions. When detection results indicate poor authentication conditions, the robot provides real-time feedback to the user through guidance messages, allowing the user to adjust their position or holding stability before completing authentication
2Reliability
If the robot provides detailed guidance to users during authentication, then authentication success rate improves, but the interaction becomes more complex and time-consuming
Solution Approach 1:
The robot applies partial guidance action based on the specific detection issue. Instead of providing complete step-by-step instructions for all scenarios, it only provides the necessary minimal guidance for the detected problem (either face position adjustment or holding stability improvement), reducing unnecessary interaction time while maintaining authentication success
Solution Approach 2:
The guidance system dynamically adjusts its level of detail based on the detected authentication issue. When the problem is clearly identified (face out of angle or unstable holding), the robot provides targeted concise guidance rather than comprehensive instructions, optimizing the balance between success rate and time efficiency
3Adaptability or versatility
If the robot interacts with users based on personal information, then user affinity and natural interaction improve, but the risk of strange or inappropriate interactions increases when authentication fails
Solution Approach 1:
The robot performs preliminary authentication verification using multiple sensors (camera and acceleration sensors) before accessing and using personal information for interaction. This preliminary check ensures that authentication is successful and reliable before the robot engages in personalized interaction, preventing inappropriate interactions based on failed or incorrect authentication
Data Source
AI summary
An interactive device includes an authenticator for authenticating a user, a speech urger which urges the user to speak when the authenticator unsuccessfully authenticates the user, and an interaction controller which performs interaction according to the authenticated user when the authenticator successfully authenticates the user by a voice of the user having been urged to speak.