Controller Predicting Scheduled Arrival Times via Behavior Models

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Solution Overview

Problem

Existing information processing systems require users to input desired arrival times to reach a building, which can be inconvenient, especially for users with routine daily schedules.

Innovation Solution

An information processing apparatus that identifies user behavior patterns using sensors and predicts scheduled arrival times based on past behavior information, providing movement information to users without requiring them to input specific times, including departure times, routes, and transportation means.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If users manually input desired arrival times to reach a building, then the system can provide accurate travel information, but the operation becomes inconvenient and time-consuming

Engineering Contradiction:

Improvearrival time accuracyVSAvoiduser input convenience

Core Design Contradiction:

Measurement precisionVSEase of operation

Solution Approach 1:

The system automatically detects user behavior through sensors (movement, device usage, location) and generates behavior patterns without user input. The user's daily routine is analyzed and scheduled arrival times are predicted automatically, allowing the system to serve itself by eliminating manual time input while maintaining precise arrival time predictions

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system performs preliminary analysis of user behavior patterns in advance by continuously monitoring sensor data and building behavior models. This preliminary action captures user routines before travel occurs, enabling the system to predict scheduled arrival times without requiring real-time user input during the travel decision process

Inventive Principle:

Principle #10Preliminary action

2Ease of operation

If the system automatically predicts scheduled arrival times based on behavior patterns, then user convenience is enhanced, but the device complexity increases

Engineering Contradiction:

Improveuser convenienceVSAvoidsystem complexity

Core Design Contradiction:

Ease of operationVSDevice complexity

Solution Approach 1:

The system divides the complex task of predicting arrival times into separate functional modules: sensor data collection, behavior pattern identification, scheduled arrival time prediction, and information provision. This segmentation allows each module to handle specific aspects independently, managing overall system complexity while achieving enhanced user convenience

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The behavior model serves as an intermediary between raw sensor data and predicted arrival times. Instead of directly processing complex sensor inputs to generate predictions, the system uses the behavior model as a mediator that translates user behavior patterns into meaningful scheduled arrival time estimates, simplifying the overall system architecture

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentUS11686591B2Information processing apparatus, information processing methods and information processing system

Publication Date: 2023.06.27 TOYOTA JIDOSHA KK

AI summary

An information processing apparatus of this application includes a controller. The controller is configured to execute: identifying a behavior pattern of a user using a behavior model of the user, the behavior model being generated based on past behavior information of the user detected by a sensor capable of detecting the behavior information of the user, predicting a scheduled arrival time, which is an arrival time of the user at a building to which the user travels, based on the identified behavior pattern of the user, and providing information to the user regarding the movement to the building so that the user can arrive at the building by the predicted scheduled arrival time.