Coffee Flavor Evaluation Interface for Precise Intensity Scoring
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Solution Overview
Problem
Current cupping methods for coffee evaluation are limited in their ability to efficiently and accurately capture the complexity of coffee flavors, lacking sensitivity to descriptor specificity and intensity, leading to inconsistent and non-quantitative assessments.
Innovation Solution
The Coffee Rose system employs a tiered structure with interactive and dynamic components that allow for the endorsement of simple or complex descriptor strings, along with intensity indications, using a scoring engine to normalize qualitative inputs for quantitative outputs, enabling precise and standardized coffee flavor evaluation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional cupping methods are used for coffee evaluation, then the process is simple and easy to operate, but the measurement precision and consistency of flavor assessment are insufficient
Solution Approach 1:
The patent introduces an electronic flavor wheel interface as an intermediary between the human assessor and the final valuation process. This digital mediator standardizes descriptor selection and intensity rating, eliminating subjective variability while maintaining the simplicity of human sensory evaluation. The system acts as a bridge that translates qualitative human perception into quantitative, consistent data.
Solution Approach 2:
The system transforms the evaluation from simple descriptor checking to a multi-parameter assessment including descriptor selection, intensity rating (0-100 scale), and hierarchical categorization. By changing the parameters of assessment from binary (present/absent) to continuous (intensity scaling) and structured (hierarchical categories), the system achieves higher measurement precision without proportionally increasing operational complexity.
2Loss of information
If detailed descriptor strings with multiple tiers are used, then the characterization of coffee flavor is more comprehensive, but the time required for evaluation increases
Solution Approach 1:
The flavor wheel is segmented into hierarchical tiers (category level, descriptor level, intensity level) that can be navigated independently. Assessors can selectively engage with different levels of detail based on the specific coffee being evaluated. This segmentation allows comprehensive characterization when needed while enabling quicker assessment by focusing on only the most relevant tiers, thus reducing information loss without proportionally increasing evaluation time.
Solution Approach 2:
The system allows assessors to perform partial action by selecting only the necessary descriptor tiers for each evaluation context. Rather than requiring complete exploration of all flavor dimensions, the system enables selective engagement with relevant descriptors, capturing sufficient flavor information without the time cost of exhaustive assessment of every possible descriptor.
3Measurement precision
If intensity indication is added to each descriptor, then the quantitative accuracy of assessment is improved, but the complexity of the evaluation form increases
Solution Approach 1:
The system applies equipotentiality by providing a standardized intensity rating scale (0-100) across all descriptors and categories. This uniform scaling creates equivalent measurement potential for every flavor attribute, allowing direct comparison and mathematical processing. The consistent interface design across all descriptors means assessors operate at the same level of cognitive demand regardless of which descriptor is being rated, maintaining ease of operation while achieving quantitative precision.
4Ease of manufacture
If manual cupping forms are used, then the system is simple to implement, but the data cannot be easily processed for AI applications
Solution Approach 1:
The patent replaces manual paper-based cupping forms with a digital electronic flavor wheel interface. This substitution transforms qualitative human input into structured digital data that can be automatically processed, stored, and analyzed. The electronic system maintains the simplicity of human interaction through intuitive UI design while enabling automated data collection, validation, and integration with AI applications for advanced analysis and machine learning applications.
Data Source
AI summary
A coffee evaluation system and method, the coffee evaluation system and method comprising providing a user interface having a tiered structure of attribute descriptors; and providing an indication of intensity for at least some of the attribute descriptors is disclosed. In an embodiment the coffee evaluation system includes a scoring engine that assigns values to individual entries on the user interface, calculates values for descriptor strings, sorts and tallies category and then sample-level scores, processes the descriptor strings into natural language forms, and selects from a coffee's generated descriptor pool for descriptor output.