Tailored food preparation with an oven
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Solution Overview
Problem
Conventional cooking methods require manual adjustment of multiple operation parameters, making it difficult for users to consistently achieve desired food output conditions, especially for inexperienced cooks, and lack a systematic approach to incorporate user feedback for improving cooking results.
Innovation Solution
A method and system that collect user feedback during and after cooking sessions to update operation instructions dynamically, using a connected cooking apparatus to tailor cooking sessions to user preferences by transforming subjective feedback into actionable adjustments to temperature, time, and other parameters, and aggregate historical data for more accurate adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual adjustment of multiple operation parameters is used, then users can control cooking process, but it becomes difficult for inexperienced cooks to consistently achieve desired food output conditions
Solution Approach 1:
The system collects user feedback about the actual cooking results and uses this feedback to automatically update and refine operation instructions. This closed-loop feedback mechanism allows the system to learn from each cooking session and improve future results, resolving the contradiction by making the system both easy to operate (automatic updates) and precise (continuous improvement based on feedback).
Solution Approach 2:
The system performs self-updating of operation instructions based on collected feedback data without requiring manual intervention from users. The automated learning and adjustment process enables the system to serve itself by continuously improving its own performance, making it both user-friendly and consistently accurate.
2Ease of operation
If conventional cooking methods are used, then simple operation is maintained, but systematic incorporation of user feedback for improving cooking results is lacking
Solution Approach 1:
The system implements a systematic feedback collection mechanism that automatically gathers user responses about cooking results and uses this data to update operation instructions. This maintains simplicity for users while systematically incorporating feedback to improve and adapt cooking methods over time.
Solution Approach 2:
The operation instructions are dynamically updated based on collected feedback data, allowing the system to adapt and evolve its cooking methods. This dynamic adjustment capability enables the system to maintain simple operation for users while continuously improving through systematic feedback incorporation.
3Reliability
If vast user and cooking data is collected, then comprehensive dataset for tailored cooking sessions is achieved, but data management complexity increases
Solution Approach 1:
The system uses a unified data management approach that handles multiple types of data (user feedback, cooking parameters, results) through a single integrated framework. This multi-functional data management system collects comprehensive data for accurate tailored cooking while managing complexity through universal processing methods.
Solution Approach 2:
The system automatically processes and manages the collected data without requiring manual intervention, performing self-updating of operation instructions based on analyzed feedback. This automated data management reduces complexity while maintaining comprehensive data collection for improved cooking accuracy.
Data Source
AI summary
A method for operating a connected oven based on subjective user feedback, wherein the connected oven includes a set of in-cavity sensors configured to monitor the foodstuff throughout a cooking session; the method comprising: executing a cooking session according to an initial set of operation instructions to achieve a target food output condition; collecting subjective feedback values from the user for the resulting food output condition of the foodstuff after the cooking session; and updating the initial set of operation instructions based on the feedback values from the user.