Robot User Identification Data Collection
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Solution Overview
Problem
Existing user identification technologies face challenges in maintaining high identification performance due to changes in user data over time, such as growth, aging, and temporary variations, which can lead to burdensome data collection methods for users and decreased performance if data becomes outdated or insufficient.
Innovation Solution
An information processing apparatus and method that enables a robot to autonomously identify data collection needs by acquiring the state of identification devices and deciding behaviors to collect missing voice or face data, using sensors and decision units to efficiently gather updated information without burdening the user.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a robot performs user identification using preliminarily learned face or voice information, then user identification can be performed, but identification performance declines when the learned information becomes old due to user growth, aging, or temporary variations
Solution Approach 1:
The robot performs preliminary actions by proactively seeking opportunities to collect updated user data during daily interactions before identification performance deteriorates. The robot initiates data collection during routine activities such as play sessions or daily routines, rather than waiting for scheduled updates or user initiation.
Solution Approach 2:
The robot serves itself by autonomously determining when identification performance may be declining and independently initiating data collection activities. The robot monitors its own identification capabilities and self-initiates updates during appropriate interaction opportunities without requiring external triggers.
2Reliability
If a robot constantly collects updated face or voice data to maintain identification performance, then identification accuracy is maintained, but the user is burdened with specific speech requirements or posture constraints
Solution Approach 1:
The robot autonomously identifies when data collection is needed and independently initiates collection during natural interaction opportunities. The robot determines optimal moments to collect data without requiring user awareness or active participation in the data collection process itself.
Solution Approach 2:
The robot continuously collects data during natural daily interactions rather than requiring dedicated data collection sessions. Data collection is integrated into ongoing play and routine activities, making the process continuous and unobtrusive.
3Quantity of substance
If a robot requires users to make specific speech or maintain specific postures for data collection, then sufficient data can be obtained for learning, but the user experiences increased burden and potential discomfort
Solution Approach 1:
Data collection occurs continuously during natural play and daily routines rather than requiring dedicated preprocessing sessions. The robot accumulates data incrementally over time through ordinary interactions, avoiding the need for concentrated data collection efforts that would require specific user actions.
Solution Approach 2:
The robot independently determines when and how to collect data during interactions without requiring user awareness or active participation. The robot selects appropriate moments during play or daily routines to collect data passively.
Data Source
AI summary
An information processing apparatus and an information processing method, and a robot apparatus that process information to be used for user identification and the like are provided.An information processing apparatus for performing processing related to a first device configured to autonomously behave to a user identified by an identification device, includes an acquisition unit configured to acquire a state of the identification device, and a decision unit configured to decide a behavior of the first device on the basis of the state. The decision unit decides a behavior of the first device for collecting voice data from a user whose voice data is insufficient, and decides a behavior of the first device for collecting face image data from a user whose face image data is insufficient, from the user.