Worker Evaluation Tokens With Blockchain Feedback for Behavior Change
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Solution Overview
Problem
Conventional talent assessment technologies in construction and similar settings are insufficient in encouraging workers to change behaviors for improved performance and safety, as they do not effectively evaluate working details and attitudes.
Innovation Solution
An information management system using a blockchain to assess and record worker performance, where a supervisor evaluates workers based on specific work items, and the evaluation values are given as tokens, which are recorded and can be used for incentives, with features like location-based assessment and communication feedback reminders.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional talent assessment technology is used to evaluate workers, then workers can realize their evaluation and operational efficiency may improve, but the technology is insufficient to effectively encourage workers to change behaviors
Solution Approach 1:
The system implements continuous feedback mechanisms by notifying workers of their evaluation results in real-time through terminal devices, and by providing supervisors with feedback requests when communication is detected. This creates a closed-loop system where evaluation results immediately influence worker behavior, addressing the insufficiency of conventional assessment technologies in driving behavior change.
Solution Approach 2:
The system transforms the abstract concept of talent assessment into quantifiable parameters by calculating evaluation values based on multiple work items and converting them into tokens. This parameter transformation makes the assessment more tangible and actionable, enabling workers to understand specific areas for improvement and track their progress through measurable metrics.
2Loss of information
If detailed evaluation of worker work status is implemented, then worker performance and attitudes become visible, but the complexity of the assessment system increases
Solution Approach 1:
The system segments the evaluation process into distinct work items (e.g., work quality, work quantity, safety compliance) that can be independently assessed and scored. This segmentation allows for detailed evaluation of specific aspects of worker performance without creating an overly complex monolithic system, as each work item can be evaluated separately and then aggregated into an overall assessment.
Solution Approach 2:
The system introduces an intermediary evaluation layer that translates complex worker behaviors and attitudes into standardized evaluation values and tokens. This intermediary layer simplifies the complexity by providing a structured framework for assessment, where diverse work behaviors are converted into comparable metrics through defined evaluation criteria and calculation rules.
3Reliability
If blockchain technology is used to record token history, then transparency and trust in evaluation are improved, but the system complexity and computational requirements increase
Solution Approach 1:
The system uses blockchain technology as a universal foundation that serves multiple functions simultaneously: it records token issuance history, verifies evaluation authenticity, enables transparent tracking of worker achievements, and provides a trusted basis for incentive distribution. This multi-functionality justifies the added complexity by delivering comprehensive reliability and transparency benefits across the entire evaluation ecosystem.
4Loss of information
If real-time location-based assessment and communication monitoring are implemented, then worker behavior visibility improves, but the intrusion into worker privacy and operational disruption increase
Solution Approach 1:
The system performs preliminary actions by establishing evaluation criteria, token calculation rules, and communication detection thresholds before actual worker assessment begins. Location tracking and communication monitoring parameters are pre-configured with appropriate sensitivity levels and privacy protections, allowing real-time behavior visibility without causing operational disruption during actual work execution.
Data Source
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AI summary
An application server (10) receives worker identification information on a worker and evaluation information on the worker for whom a work status is evaluated by using a map in which location information is displayed, calculates, as a token, an evaluation value corresponding to a work item indicated by the evaluation information, gives, as the token, the evaluation value to the worker indicated by the worker identification information, and transmits the worker identification information , the token history information that includes the worker identification information, a date and time at which the token is given, and the evaluation value to an information recording apparatus (30) that records the history information on the token by using a blockchain.