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

VSEngineering 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

Engineering Contradiction:
Improveadvice acceptance rateVSAvoidagent interface adaptability
Core Design Contradiction:
ReliabilityVSAdaptability or versatility

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.

Inventive Principle:
Principle #15Dynamics

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.

Inventive Principle:
Principle #23Feedback

2Reliability

If the agent maintains a fixed user interface, then the system is simple, but the advice effectiveness decreases

Engineering Contradiction:
Improveadvice effectivenessVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

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.

Inventive Principle:
Principle #25Self-service

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.

Inventive Principle:
Principle #35Parameter changes

3Reliability

If the agent updates its interface frequently, then user acceptance improves, but processing resources increase

Engineering Contradiction:
Improveuser acceptanceVSAvoidprocessing energy
Core Design Contradiction:
ReliabilityVSUse of energy by moving object

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.

Inventive Principle:
Principle #19Periodic action

Data Source

PatentUS20240012545A1Information Processing System, Information Processing Method, and Recording Medium
Publication Date: 2024.01.11 SONY GROUP CORP
  • US20240012545A1 patent drawing
  • US20240012545A1 patent drawing
  • US20240012545A1 patent drawing

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.