Time-Delimited Action Suggestions for Idle Time Utilization
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Solution Overview
Problem
Users often experience idle time during time-bound activities on their mobile devices, leading to boredom and inefficient use of resources, as they may actively search for content, which can distract and waste resources.
Innovation Solution
A computer-implemented method and system that proactively provide time-delimited action suggestions to users based on their parameters and the time period associated with their requested activities, such as navigation or transportation, to keep users engaged and resource-efficient.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If the user actively searches for content during idle time, then the user can occupy their time, but valuable computing resources are used and the user may be distracted
Solution Approach 1:
The system enables the mobile device to automatically generate and present action suggestions during idle time without requiring the user to actively search for content. The device's processor autonomously identifies idle periods, retrieves relevant information, generates suggestions, and presents them to the user, thereby utilizing idle time while minimizing additional resource consumption compared to active user searching.
2Ease of operation
If the system provides action suggestions during idle time, then user engagement is enhanced, but device complexity increases
Solution Approach 1:
The system leverages existing multi-functional components already present in the mobile device, including the processor for idle time detection, memory for storing user preferences and activity data, display for presenting suggestions, and communication interfaces for retrieving information. By reusing these existing components for the additional function of generating action suggestions, the system enhances user engagement without significantly increasing overall device complexity.
3Adaptability or versatility
If the system determines personalized action suggestions based on user parameters, then the suggestions are more tailored and useful, but the processing time and resource consumption increase
Solution Approach 1:
The system performs preliminary actions by detecting and storing user parameters, preferences, and activity patterns in advance during normal device operation. When idle time occurs, the system retrieves pre-stored information and generates suggestions rapidly without requiring extensive real-time analysis. This preliminary data collection and storage enables fast, personalized suggestion generation during idle periods without significant processing delays.
Data Source
AI summary
Systems and methods for providing time-delimited action suggestions are provided. In one example embodiment, a method includes receiving, by one or more computing devices from a user device, data indicative of a user-requested time-bound activity. The time-bound activity is associated with a time period. The method includes identifying, by the one or more computing devices, one or more parameters associated with a user that requested the time-bound activity. The method includes determining, by the one or more computing devices, a suggested action based at least in part on the one or more parameters associated with the user and the time period associated with the time-bound activity. The method includes providing, by the one or more computing devices, an output indicative of the suggested action to the user device.