Dual Interaction Models for User Attachment Control
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Solution Overview
Problem
Existing interaction systems lack the ability to control user attachment to specific robots or interaction models, making it difficult to induce a strong attachment to a particular robot during sales promotions or interactions.
Innovation Solution
An interaction system comprising a first interaction model with an improved communication function and a second interaction model that supports the first model, allowing the user to nurture the first model by providing guidance and support, thereby forming a strong attachment to the first model.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a second agent presents speech to encourage user speech, then the user's speech is led within the range where conditions for enabling interaction are satisfied, but it becomes difficult to control which agent the user forms attachment to
Solution Approach 1:
The system divides the interaction functionality into two distinct agents: a first agent that the user forms attachment to, and a second agent that facilitates interaction by encouraging speech. This segmentation allows each agent to have specialized roles, with the first agent focusing on building attachment through consistent interaction patterns and the second agent handling the facilitation of user speech without competing for attachment.
Solution Approach 2:
The second agent acts as an intermediary that enables the user to interact with the system without directly competing with the first agent for the user's attachment. The second agent's speech encouragement functions as a mediator that supports the overall interaction while preserving the attachment relationship with the first agent.
2Productivity
If two interaction models are used to interact with the user, then the interaction system can smoothly interact with the user, but control over user attachment to a particular robot is lost
Solution Approach 1:
The system assigns different functional qualities to different agents: the first agent is optimized for building attachment through consistent, reliable interaction patterns, while the second agent is optimized for facilitating speech and interaction flow. This local quality differentiation allows each agent to excel at its specific function without interfering with the attachment relationship.
Solution Approach 2:
Instead of having both agents compete for user attachment, the system inverts the approach by designing the second agent specifically to avoid forming attachment, while the first agent is designed to cultivate attachment. This inversion of the typical competitive dynamic resolves the contradiction between interaction efficiency and attachment control.
Data Source
AI summary
An interaction system capable of making a user form an attachment to a particular interaction model is provided. A first interaction model is configured so that a communication function expressed to a user is improved from an initial state through communication with the user. A second interaction model is configured to interact with the user by a communication function better than the initial state of the first interaction model, and to make a speech for the user, the speech being made so as to support the improvement of the communication function of the first interaction model.