Domestic appliance, system comprising a domestic appliance and method for operating a domestic appliance
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Solution Overview
Problem
Conventional household appliances, such as dishwashers, lack advanced user feedback mechanisms that adapt to individual preferences and performance assessments, leading to suboptimal operation and limited user customization.
Innovation Solution
A household appliance with a control device that conducts multiple treatment programs, adjusts feedback surveys based on user feedback, and utilizes data and sensor inputs to personalize settings, such as cleaning and drying intensities, and program durations, through an adaptive feedback cycle and emotional state recognition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional household appliances use fixed feedback cycles for user surveys, then the structure is simple and easy to implement, but the user satisfaction and operational optimization are limited
Solution Approach 1:
The feedback cycle is transformed from a fixed static structure to a dynamic adaptive one. The control device automatically adjusts the feedback cycle based on detected user feedback patterns, making the system flexible and responsive to individual user preferences while maintaining operational simplicity through automated decision-making algorithms.
Solution Approach 2:
The system implements a multi-level feedback mechanism where user responses to surveys are captured and analyzed by the control device. This feedback is then used to automatically adjust future feedback cycles, creating a closed-loop system that continuously learns from user interactions and optimizes its operation accordingly.
2Loss of information
If the appliance requests feedback after every treatment program, then comprehensive user preferences are captured, but the user burden increases and satisfaction decreases
Solution Approach 1:
Instead of requesting feedback after every single treatment program (excessive action), the system strategically selects when to request feedback based on detected user patterns and treatment program types. This partial action approach captures sufficient user preference information while significantly reducing the frequency and burden of feedback requests on users.
Solution Approach 2:
The control device autonomously determines the optimal feedback timing and frequency based on accumulated user feedback data and treatment program characteristics. The system serves itself by automatically adjusting its own feedback strategy without requiring explicit user configuration, thereby minimizing user burden while maintaining comprehensive preference capture.
3Adaptability or versatility
If basic functions only are provided through App control, then the system is simple and reliable, but the customization and user experience are limited
Solution Approach 1:
The control device serves multiple functions: it manages basic treatment programs, captures and analyzes user feedback, automatically adjusts feedback cycles, and personalizes program parameters. This multi-functional approach consolidates what could be separate complex systems into a single integrated control unit, achieving high adaptability without proportionally increasing overall system complexity.
Solution Approach 2:
The control device automatically performs parameter adjustment and feedback cycle optimization without requiring complex user configuration or external system intervention. The system learns from user feedback and self-adjusts its behavior, providing advanced customization capabilities while maintaining a simple user interface and reliable operation.
Data Source
AI summary
A household appliance includes a control device configured to carry out a treatment program from a plurality of treatment programs, each of the plurality of treatment programs being determined by a plurality of program parameters. An output unit outputs a feedback survey in accordance with a feedback cycle to a user of the household appliance, and an adjustment unit adjusts a content of the feedback survey depending on a user feedback detected.