Biometric Tour Scheduling for Longer Observation at Key Equipment Spots
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Solution Overview
Problem
Existing technologies for determining tour schedules around facilities do not adequately consider user satisfaction based on biological information during the observation of equipment processes.
Innovation Solution
An information processing apparatus that determines tour times at tour spots based on biological information, such as heart rate, body temperature, and facial expressions, to enhance user satisfaction by allowing longer observation of high-evaluation processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If fixed tour schedules are used without considering user biological information, then operational simplicity is maintained, but user satisfaction decreases
Solution Approach 1:
The system implements feedback by continuously monitoring users' biological information (heart rate, body temperature, facial expressions) during tours and using this feedback to dynamically adjust tour schedules. The controller receives biological information from detection devices and modifies tour times and routes based on real-time user state, creating a closed-loop system that adapts to user needs.
Solution Approach 2:
The system enables self-service by automatically detecting user biological information and autonomously determining optimal tour schedules without requiring manual user input or intervention. The detection devices and controller work together to automatically adjust tour parameters based on user state, allowing the system to serve itself in optimizing the tour experience.
2Ease of operation
If tour schedules are dynamically adjusted based on biological information, then user satisfaction increases, but system complexity increases
Solution Approach 1:
The system achieves universality by integrating multiple functions into a unified platform: biological information detection, user state analysis, tour schedule optimization, and real-time schedule adjustment all occur within the same system framework. The controller performs multiple functions including receiving detection results, determining user state, and modifying tour schedules, reducing the need for separate specialized systems.
Solution Approach 2:
The system applies parameter changes by dynamically modifying tour schedule parameters (tour time, tour route, observation duration) based on changes in user biological parameters. When biological information indicates high user satisfaction, the system extends tour time and adjusts routes to maximize observation of interesting equipment processes, directly linking parameter changes in user state to parameter changes in tour scheduling.
3Productivity
If longer observation time is provided at high-evaluation tour spots, then user satisfaction increases, but tour schedule flexibility decreases
Solution Approach 1:
The system implements dynamics by making tour schedules flexible and adaptable rather than fixed. The controller continuously monitors biological information and dynamically adjusts tour times, routes, and observation durations in real-time. This dynamic approach allows the system to extend observation time at high-evaluation spots when users show interest while maintaining the ability to quickly adapt to changing user states and conditions throughout the tour.
Data Source
AI summary
An information processing apparatus configured to determine a tour schedule around a facility, the information processing apparatus includes a controller configured to determine a tour time at a tour spot in the tour schedule, based on biological information on a user who is observing a process performed by equipment at the tour spot in the facility.