Agent Interface Adaptation for Advice Compliance
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Solution Overview
Problem
Existing agent systems do not effectively consider user acceptance when presenting advice, leading to suboptimal interaction and advice effectiveness.
Innovation Solution
An information processing system that updates the user interface of an agent based on user behavior modification in response to the advice provided, using a control unit to select and adjust the agent's appearance, voice, and personality to enhance user acceptance and advice compliance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the agent presents advice to the user, then the user receives information, but the user may not accept or follow the advice
Solution Approach 1:
The agent's user interface is made dynamic by automatically updating its characteristics (appearance, voice, personality) based on real-time detection of user behavior modifications. This dynamic adaptation increases the likelihood of advice acceptance by matching the user's current state and preferences.
Solution Approach 2:
The system implements a feedback loop where the agent's interface characteristics are updated based on user behavior responses to advice. The detection unit monitors whether the user modifies their behavior in response to advice, and this feedback is used to adjust the agent's interface to better align with user preferences, thereby improving future advice acceptance.
2Reliability
If the agent maintains a fixed user interface, then the system is simple, but the advice effectiveness decreases
Solution Approach 1:
The agent performs self-updating of its interface characteristics automatically based on detected user behavior. The control unit modifies the agent's appearance, voice, or personality traits without requiring manual intervention, enabling the system to adapt to user preferences while maintaining operational simplicity.
Solution Approach 2:
The system changes parameters of the agent's user interface (appearance, voice, personality) based on detected user behavior modifications. By adjusting these interface parameters dynamically, the system improves advice effectiveness while managing complexity through automated parameter adaptation rather than manual configuration.
3Reliability
If the agent updates its interface frequently, then user acceptance improves, but processing resources increase
Solution Approach 1:
The agent's interface is updated periodically based on detected behavior modifications rather than continuously. The system monitors user behavior and triggers interface updates only when meaningful behavior changes are detected, reducing unnecessary processing while maintaining user acceptance through timely adaptations.
Data Source
AI summary
Provided are an information processing system, an information processing method, and a recording medium capable of presenting advice more effectively by updating a user interface of an agent according to a user's behavior modification with respect to the agent advice. An information processing system includes a control unit (200) that controls a user interface of an agent to be updated depending on whether a user has performed behavior modification in response to advice that the agent has presented to the user.


