Psychological-driven sustainable consumption guiding system
Through a psychologically driven sustainable consumption guidance system, visual components and psychological score models are used to analyze and intelligently guide consumer behaviors, which solves the problem of difficult changes in consumer behavior in the existing technology and improves the sustainability and convenience of consumption.
Patent Information
- Application Number
- CN202411230468.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-04
- Publication Date
- 2024-12-10
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The existing sustainable consumption guidance methods mainly rely on information transmission and policies and regulations, and it is difficult to change consumers' actual behavior, and consumer behavior is affected by a variety of psychological factors, resulting in poor results.
Develop a psychologically driven sustainable consumption guidance system, combining visual components, psychological score models and guidance components, and analyze user operation behaviors and consumption history to obtain consumer psychology scores, conduct intelligent consumption guidance, and use machine learning to predict consumption propensity and Time to provide personalized promotional information.
Through the psychological score model, user behavior and psychological characteristics are scored and predicted, so as to improve the sustainability and convenience of consumption and achieve intelligent guidance on user psychology.
Smart Images
Figure CN119107112A_ABST
Abstract
Description
Technical Field
[0001] The invention belongs to the technical field of consumption guidance, and in particular to a psychology-driven sustainable consumption guidance system. Background Art
[0002] Sustainable consumption must take into account environmental, social and economic impacts, but traditional guidance methods mainly rely on information transmission and policies and regulations, which are not very effective in changing consumers' actual behavior. This is because consumer behavior is influenced by a variety of psychological factors, such as personal values, social norms, cognitive biases and emotions. Psychological research shows that human decision-making is dominated by subconsciousness and emotions, and consumers' cognitive biases, such as overconfidence, short-sightedness and herd mentality, all hinder sustainable consumption.
[0003] Therefore, it is necessary to develop a sustainable consumption guidance system based on psychological drive. It needs to integrate multidisciplinary knowledge and technology, analyze consumer psychology and behavior patterns, stimulate intrinsic motivation through targeted intervention, and change consumption concepts and habits. At present, such systems are still in the exploratory stage, and their development is of great significance and value. Summary of the invention
[0004] In view of the above technical problems, the present invention provides a psychologically driven sustainable consumption guidance system, including a visualization component, a psychological score model, a guidance component, and a consumption feedback component. The visualization component includes a first fixed component, which is used to display consumption prompt information. The first fixed component is attached with a first controllable unit, and the display area of the first fixed component is modified by clicking the first controllable unit; the visualization component also includes a mobile component group, which includes at least one first mobile component. The first mobile component is attached with a second controllable unit, and the second controllable unit is used to clear the first mobile component from the mobile component group.
[0005] The psychological score model is used to perform model analysis on the current user's operation behavior and consumption history records to obtain a consumer psychological score, and the consumer psychological score is used to guide the component to guide consumption recommendations.
[0006] The consumption recommendation guidance of the guidance component includes the following steps: Step S101, displaying the consumption object through the visualization component, and obtaining the context operation information of the current user, wherein the context operation information includes the context operation steps and behaviors of the current user and the consumption history information of the current user; sending the context operation information of the current user to the psychological score model, and the psychological score model obtains the consumption psychological score.
[0007] Step S102, sending the consumer psychology score to the guidance component, the guidance component guides consumption according to the consumer psychology score and the consumption history information of the current user, and displays the first guided consumption information through the first fixed component.
[0008] Step S103: updating the list information of the mobile component group according to the operation result of the first guided consumption information.
[0009] The consumption feedback component is used to update the consumption result feedback after the user settles the consumption object information guided by the guidance component; if the user completes the settlement, the complete operation information is updated; if the user does not complete the settlement, the user cancels the node and updates the information before the user cancels the node.
[0010] The first guided consumption information corresponds to the main category information of the consumer object. The first fixed component is also provided with a third controllable unit, which is symmetrically arranged with the first controllable unit. When the first guided consumption information is confirmed, the third controllable unit updates the list information of the mobile component group through the third controllable unit; a refresh counter is set to record the refresh times of the mobile component group.
[0011] The psychological score model is trained by machine learning through consumption behavior data, psychology and attitude data, and personal information data. The consumer psychology score is a comprehensive score of the psychological score model for consumption tendency prediction, consumption timing prediction, and promotional information.
[0012] Compared with the prior art, the present invention has the following advantages: (1) the present invention can obtain consumer psychology scores based on user behaviors and psychological driving characteristics through a psychological score model, thereby providing intelligent guidance; (2) the present invention can guide consumer objects based on user psychological driving results through visualization components and guidance components, thereby improving the sustainability and convenience of consumption. BRIEF DESCRIPTION OF THE DRAWINGS
[0013] Figure 1 An exemplary step of consuming recommendation guidance of the present invention. DETAILED DESCRIPTION
[0014] Embodiment: A psychologically driven sustainable consumption guidance system includes a visualization component, a psychological score model, a guidance component, and a consumption feedback component. The visualization component includes a first fixed component, which is used to display consumption prompt information. The first fixed component is attached with a first controllable unit, and the display area of the first fixed component is modified by clicking the first controllable unit; the visualization component also includes a mobile component group, which includes at least one first mobile component. The first mobile component is attached with a second controllable unit, and the second controllable unit is used to remove the first mobile component from the mobile component group.
[0015] The psychological score model is used to perform model analysis on the current user's operating behavior and consumption history to obtain a consumer psychological score. The consumer psychological score is used to guide the component to guide consumption recommendations.
[0016] In this embodiment, Figure 1 The consumption recommendation guidance shown as the guidance component includes the following steps: Step S101, display the consumption object through the visualization component, and obtain the context operation information of the current user, the context operation information includes the context operation steps and behaviors of the current user and the consumption history information of the current user; send the current user context operation information to the psychological score model, and the psychological score model obtains the consumer psychological score.
[0017] Step S102, sending the consumer psychology score to the guidance component, the guidance component guides consumption according to the consumer psychology score and the consumption history information of the current user, and displays the first guided consumption information through the first fixed component.
[0018] Step S103: updating the list information of the mobile component group according to the operation result of the first guided consumption information.
[0019] The consumption feedback component is used to update the consumption result feedback after the user settles the consumption object information guided by the guidance component; if the user completes the settlement, the complete operation information will be updated; if the user does not complete the settlement, the user's cancellation of the node will be recorded, and the information before the user cancels the node will be updated.
[0020] The first guided consumption information corresponds to the main category information of the consumer object. The first fixed component is also provided with a third controllable unit, which is symmetrically arranged with the first controllable unit. When the first guided consumption information is confirmed, the third controllable unit updates the list information of the mobile component group through the third controllable unit; a refresh counter is set to record the refresh times of the mobile component group.
[0021] The psychological score model is trained through machine learning using consumer behavior data, psychological and attitudinal data, and personal information data. The consumer psychology score is a comprehensive score of the psychological score model's predictions of consumer tendencies, consumer timing, and promotional information.
[0022] The above contents are merely examples and explanations of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the invention or exceed the scope defined by the claims, they shall all fall within the protection scope of the present invention.
Claims
1. A psychology-driven sustainable consumption guidance system, comprising a visualization component, a psychological score model, a guidance component, and a consumption feedback component, characterized in that: The visualization component includes a first fixed component, the first fixed component is used to display consumption prompt information, the first fixed component is attached with a first controllable unit, and the display area of the first fixed component is modified by clicking the first controllable unit; the visualization component also includes a mobile component group, the mobile component group includes at least one first mobile component, the first mobile component is attached with a second controllable unit, and the second controllable unit is used to remove the first mobile component from the mobile component group; The psychological score model is used to perform model analysis on the current user's operation behavior and consumption history records to obtain a consumer psychological score, which is used to guide the component to guide consumption recommendations; The consumption recommendation guidance of the guidance component includes the following steps: Step S101, displaying the consumption object through a visualization component, and obtaining the context operation information of the current user, wherein the context operation information includes the context operation steps and behaviors of the current user and the consumption history information of the current user; sending the context operation information of the current user to a psychological score model, and the psychological score model obtains a consumer psychological score; Step S102, sending the consumer psychology score to the guidance component, the guidance component guides consumption according to the consumer psychology score and the consumption history information of the current user, and displays the first guided consumption information through the first fixed component; Step S103: updating the list information of the mobile component group according to the operation result of the first guided consumption information.
2. A psychologically driven sustainable consumption guidance system according to claim 1, characterized in that: The consumption feedback component is used to update the consumption result feedback after the user settles the consumption object information guided by the guidance component; if the user completes the settlement, the complete operation information is updated; if the user does not complete the settlement, the user cancels the node and updates the information before the user cancels the node.
3. A psychologically driven sustainable consumption guidance system according to claim 1, characterized in that: The first guided consumption information corresponds to the main category information of the consumer object. The first fixed component is also provided with a third controllable unit, which is symmetrically arranged with the first controllable unit. When the first guided consumption information is confirmed, the third controllable unit updates the list information of the mobile component group through the third controllable unit; a refresh counter is set to record the refresh times of the mobile component group.
4. A psychologically driven sustainable consumption guidance system according to claim 1, characterized in that: The psychological score model is trained by machine learning through consumption behavior data, psychology and attitude data, and personal information data. The consumer psychology score is a comprehensive score of the psychological score model for consumption tendency prediction, consumption timing prediction, and promotional information.