Mobile Guidance Endpoint Setting for Users Prone to Getting Lost
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Solution Overview
Problem
Existing guidance systems end guidance at visible landmarks, leading to potential disorientation for individuals with low cognitive abilities or unfamiliarity with the environment, such as the elderly or those unfamiliar with the place.
Innovation Solution
An information processing device in a mobile device sets a guidance end point based on the destination, environment information, target attributes, and unique information, allowing for efficient and sufficient guidance to a predetermined facility or point, adjusting the guidance route and method according to the target's knowledge level and attributes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If guidance is ended at a point where a mark to the destination can be seen, then guidance efficiency is improved, but the guidance target (especially elderly persons or those unfamiliar with the place) may get lost after guidance ends
Solution Approach 1:
The system performs preliminary assessment of the guidance target's attributes (age, familiarity with place, cognitive ability) before determining the guidance end point. This allows the system to proactively adjust the guidance strategy to prevent getting lost, rather than reacting after the problem occurs. The attribute estimation unit evaluates targets in advance and sets appropriate end points accordingly.
Solution Approach 2:
The guidance end point is not fixed but dynamically adjusted based on the guidance target's attributes. The system changes the end point location according to real-time assessment of the target's characteristics - extending guidance further for vulnerable groups and shortening it for those with high navigational ability. This dynamic adaptation resolves the contradiction between efficiency and reliability.
2Reliability
If guidance is extended further to ensure the target does not get lost, then guidance reliability is improved, but guidance time and resources are increased
Solution Approach 1:
The system applies different guidance strategies to different segments of the guidance population based on their attributes. Instead of using a one-size-fits-all approach, it tailors the guidance end point to each target's specific needs - providing extended guidance only to those who require it (elderly, unfamiliar persons) while allowing faster completion for others. This localized differentiation resolves the time-reliability trade-off.
Solution Approach 2:
The system changes the guidance parameter (end point location) based on the target's attributes. By adjusting this key parameter dynamically, the system optimizes the balance between guidance time and reliability for each individual case, rather than maintaining a fixed end point for all situations.
3Measurement precision
If the system communicates with the human to determine whether to end guidance, then guidance accuracy is improved, but the process becomes troublesome for the user
Solution Approach 1:
The system performs automatic attribute estimation of the guidance target without requiring active user participation. The attribute estimation unit independently evaluates characteristics such as age, familiarity with the place, and cognitive ability, then uses this information to determine the appropriate guidance end point. This self-service approach eliminates the need for troublesome user communication while maintaining accurate guidance termination.
Solution Approach 2:
The system replaces the mechanical interaction of direct communication with the target with an automated estimation mechanism. Instead of asking the user to self-assess or communicate their needs, the system uses observation and data processing to infer attributes and make guidance decisions, thereby improving ease of operation while preserving measurement precision.
Data Source
AI summary
Guidance for a guidance target can be performed efficiently as necessary and sufficiently. An information processing device is included in a mobile device that guides a guidance target to a destination. A setting unit sets any predetermined point among points from a guidance start point to the destination of the guidance target as a guidance end point on the basis of the destination of the guidance target and at least one or more of environment information of a guidance route, an attribute of the guidance target, and unique information of the guidance target. For example, a determination unit determines a point different from the set guidance end point as a guidance end point on the basis of a predetermined condition after guidance is started.