Adaptive Exhibit Guide Control Based on User Appreciation Patterns
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Solution Overview
Problem
Conventional guide systems fail to provide personalized guidance based on the user's state and preferences, often providing unnecessary explanations when the user is not actively appreciating the exhibit.
Innovation Solution
An information processing apparatus and method that acquires the user's state, estimates their appreciation pattern, and adjusts the guide mode accordingly, using sensors to detect user behavior and preferences, and a server to determine and control the presentation of guide information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automatic voice guide reproduction is provided to all users near exhibits, then all users receive guide information, but users receive redundant explanations when not actively appreciating the exhibit
Solution Approach 1:
The system applies different guide information delivery strategies to different user groups based on their appreciation behavior. Users identified as actively appreciating (through sensors detecting prolonged viewing, repeated viewing, or interactive behavior) receive detailed guide information, while others receive simplified or no guide information, thus avoiding redundant explanations.
Solution Approach 2:
The guide system dynamically adjusts its behavior based on real-time detection of user appreciation states. The system continuously monitors user behavior through sensors and modifies guide information delivery accordingly, transitioning between different delivery modes (detailed, simplified, or none) based on the user's current engagement level with the exhibit.
2Adaptability or versatility
If the same explanation is provided to all users, then implementation is simple, but user preferences and appreciation styles are not accommodated
Solution Approach 1:
The system pre-establishes multiple guide information delivery modes (detailed explanation mode, simplified explanation mode, and selective explanation mode) and user appreciation behavior patterns. By preparing these modes in advance, the system can quickly switch between them based on detected user behavior without requiring complex real-time decision-making algorithms, thus balancing personalization with system simplicity.
Solution Approach 2:
The system uses sensor data to detect user appreciation behavior and provides feedback to the guide control unit, which then adjusts the guide information delivery accordingly. This feedback loop enables the system to adapt to user preferences automatically, providing personalized guidance while keeping the control logic relatively simple through rule-based responses to detected behaviors.
Data Source
AI summary
A server device (corresponding to one example of “information processing apparatus”) includes an acquisition unit that acquires a state of a user who appreciates an exhibit (P) (corresponding to one example of “appreciated object”), an estimation unit that estimates an appreciation pattern, which is a type of an appreciation style of the user, based on the state of the user acquired by the acquisition unit, a determination unit that determines a mode of a guide regarding the exhibit (P) presented to the user in accordance with the appreciation pattern estimated by the estimation unit, and a guide control unit that executes guide control in which control is performed such that the guide is presented to the user in accordance with the mode of the guide determined by the determination unit.