Role Presentation Unit for Persona-Aligned Dialogue Data Collection
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Solution Overview
Problem
Conventional dialogue data collection methods face difficulties in generating natural dialogues, particularly in collecting multi-turn dialogues and establishing authentic persona information, leading to suboptimal quality of collected data.
Innovation Solution
An information processing device and method that presents role information to users, detects inconsistencies in their inputs, and provides feedback for correction, using a system that includes a role presentation unit, acquisition unit, detection unit, and inconsistency presentation unit to enhance the quality of dialogue data by ensuring alignment with predefined persona profiles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If conventional dialogue data collection methods are used, then data collection can be performed with simple processes, but the quality and naturalness of collected dialogue data deteriorates
Solution Approach 1:
The system implements real-time feedback by detecting inconsistencies between user inputs and persona information, then presenting warnings to users. This feedback loop ensures that collected dialogue data maintains high quality and naturalness while keeping the collection process simple and automated.
2Ease of operation
If users are allowed to input freely without constraints, then ease of operation is improved, but consistency with persona profiles deteriorates
Solution Approach 1:
The detection unit continuously monitors user inputs for inconsistencies with persona information and provides immediate feedback through warnings. This allows users to operate freely while maintaining reliability through real-time consistency checking and correction opportunities.
3Manufacturing precision
If manual data collection methods are used, then quality of dialogue data is improved, but cost and time consumption increase
Solution Approach 1:
The system performs automatic inconsistency detection and validation without requiring manual review of each dialogue input. The detection unit autonomously checks user inputs against persona information, enabling high-quality data collection at scale without proportionally increasing costs or time consumption.
4Reliability
If persona information is forcibly discussed in dialogues, then persona authenticity is improved, but naturalness of dialogue deteriorates
Solution Approach 1:
Instead of forcing persona discussions, the system subtly guides users toward authentic persona expression through inconsistency warnings. The feedback mechanism nudges users to align with their persona naturally, maintaining dialogue flow while ensuring persona authenticity without explicit forced discussions.
Data Source
AI summary
An information processing device according to an embodiment includes: a role presentation unit (111) that presents, to a first user, a role set to the first user; an acquisition unit (112) that acquires first data input by the first user at a time of input of the first data; a detection unit (103) that detects, as inconsistency information, information that is included in the first data acquired by the acquisition unit and inconsistent with the role; and an inconsistency presentation unit (110) that presents, to the first user, a message based on the inconsistency information detected from the first data by the detection unit.


