Mobile Service Platform Task Scheduling and Incentive Management
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Solution Overview
Problem
Current crowdsourcing platforms lack an efficient mechanism to utilize mobile devices as sensors for opportunistic task completion, managing task scheduling, selecting appropriate devices, processing data, and providing incentives for task fulfillment.
Innovation Solution
A mobile service platform that manages customer and worker device accounts, schedules tasks based on device attributes, processes data from completed tasks, and provides a payment structure to incentivize workers, utilizing mobile devices as sensors for data collection and task completion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If mobile devices are utilized as sensors for opportunistic task completion, then productivity is improved, but device complexity increases
Solution Approach 1:
The platform is segmented into distinct functional modules: task scheduler for managing task assignments, device selector for matching devices to tasks based on attributes, data processor for handling collected data, and incentive manager for reward distribution. This modular segmentation enables efficient coordination of mobile devices as sensors while managing platform complexity through organized functional decomposition.
2Measurement precision
If worker devices are selected based on current attributes, then measurement precision is improved, but loss of time increases
Solution Approach 1:
Worker devices register their current attributes (location, sensor capabilities, status) with the platform in advance before tasks are assigned. The task scheduler maintains an updated registry of available devices and their attributes, enabling rapid matching when tasks are created without requiring real-time attribute collection, thus reducing task assignment time while maintaining precise matching.
3Reliability
If data validation is performed on completed tasks, then reliability is improved, but productivity decreases
Solution Approach 1:
The platform implements an automated feedback mechanism where the data processor validates collected data against predefined criteria and provides immediate feedback to the incentive manager. Validated data triggers automatic incentive distribution, while invalid data is flagged for review or rejected. This automated feedback loop ensures data reliability through validation while maintaining productivity by eliminating manual review requirements for valid data.
4Ease of operation
If incentive structures are provided to worker devices, then ease of operation is improved, but loss of substance increases
Solution Approach 1:
The incentive manager dynamically adjusts incentive parameters (reward amounts, bonus structures) based on task complexity, data quality requirements, and device performance history. The system modifies incentive parameters to optimize participation motivation while controlling resource consumption, providing higher rewards for more demanding tasks or high-quality data collection while reducing incentives for simpler tasks, thereby balancing ease of operation with resource efficiency.
Data Source
AI summary
A method and apparatus for a service platform capable of providing device-based task completion is disclosed. A request for a task is received at a service platform from a customer. A worker device to complete the task is selected from a group of worker devices registered with the service platform based on a current attribute of the worker device. Data resulting from completion of the task is received from the selected worker device, validated, and presented to the customer. A reward or incentive can be provided to the worker device in response to the data being received from the worker device and validated.