A digital social tasting system, method and medium based on real-time emotional feedback

Abstract

This invention discloses a digital social appraisal system, method, and medium based on real-time emotional feedback. The system includes an interactive terminal, a content distribution server, and a management server. The interactive terminal provides appraisal samples and collects user facial video streams. The content distribution server analyzes the video streams to obtain micro-expression data and automatically generates and pushes a digital short video bound with a unique distribution identifier based on the appraisal sample information. The management server verifies offline verification requests generated based on scanning the distribution identifier and traces back to the appraisal for revenue sharing after successful verification. This invention transforms offline appraisal behavior into digital assets carrying user emotions in real time and constructs a verifiable and traceable social distribution closed loop, solving the problems of disconnect between appraisal experience and digital content and unreliable marketing links, and realizing real-time data linkage between "physical interaction - digital content - commercial conversion".

Description

Technical Field

[0001] This invention belongs to the technical fields of Internet of Things, artificial intelligence and digital content processing, and relates to a digital social appraisal system, method and medium based on real-time emotional feedback. Background Technology

[0002] The tasting and marketing of consumer goods such as alcoholic beverages are developing towards experiential and social aspects. Current technologies have the following shortcomings: 1. Disconnect between experience and digital assets: Existing smart appraisal devices can provide standardized appraisal or fun interaction, but the emotional reactions and social moments during the appraisal process are difficult to record in a high-quality and automated manner and be transformed into easily disseminated digital content (such as short videos); users need to use their mobile phones to record additionally, resulting in a fragmented experience and inconsistent content quality.

[0003] 2. Discontinuous and unverifiable marketing chain: The traditional "experience-sharing-conversion" chain relies on users' spontaneous sharing. The shared content has a weak correlation with the specific product or the experience, making it difficult to track and attribute the conversion effect. Even with the introduction of a distribution mechanism, the lack of credible digital records of the experience process makes it difficult to prevent false sharing or accurately link sharing behavior with specific offline experience actions.

[0004] 3. Data isolation and lack of closed loop: Physical data of tasting (such as the wine sample formula), physiological feedback data of users (such as facial expressions), digital content data produced, and subsequent business conversion data are usually scattered in different systems or links, failing to form a real-time data closed loop from "offline experience trigger" to "online content generation" and then to "conversion effect feedback", resulting in the data value not being fully explored and marketing adjustments being delayed.

[0005] Therefore, a system is needed that can seamlessly and automatically transform an offline tasting experience into a unique digital social asset, ensuring that the asset is strongly linked to the offline experience, while building a social distribution loop that can be accurately tracked and is based on real experiences. Summary of the Invention

[0006] The purpose of this invention is to provide a digital social appreciation system, method, and medium based on real-time emotional feedback to solve the problems of disconnect between appreciation experience and digital asset creation, unverifiable marketing links, and data silos.

[0007] The technical solution adopted in this invention is as follows: In a first aspect, the present invention provides a digital social appreciation system based on real-time emotional feedback, including an interactive terminal, a content distribution server, and a management server; An interactive terminal, set up in the tasting area, includes a liquid dispensing module, a camera module, and a first communication module; the liquid dispensing module is used to provide at least one tasting sample in response to user operation; the camera module is used to capture a video stream of the user's face during the user's tasting of the sample. A content distribution server, communicating with interactive terminals, includes: The sentiment analysis unit is used to extract users' micro-expression time-series data from facial video streams; The content generation unit is used to automatically generate a digital short video containing elements related to this tasting based on the identification information and micro-expression time sequence data of the tasting sample, and to bind a unique distribution identifier to the digital short video; The distribution unit is used to push digital short videos bound to the distribution identifier to the social media portals of the corresponding users; The management server, which communicates with the content distribution server, includes: The verification unit is used to receive verification requests from offline service outlets. The verification request carries an experience code obtained based on the distribution identifier in the scanned digital short video. The revenue sharing engine is used to trace the corresponding digital short video based on the distribution identifier after the verification unit confirms the successful verification. It is then further linked to the interactive terminal that generated the short video and the sample information of the current tasting, and triggers the revenue sharing operation corresponding to the distribution identifier based on preset rules.

[0008] Furthermore, the liquid dispensing module includes a multi-channel liquid storage unit, a precision pumping unit connected to the multi-channel liquid storage unit, and a cocktail control unit; the cocktail control unit is used to receive the user's recipe input and control the precision pumping unit to extract and mix liquids from the multi-channel liquid storage unit according to the recipe ratio to form a user-customized tasting sample.

[0009] Furthermore, the content generation unit is specifically used to: identify the wine pouring start frame, the glass raising frame, and key frames with significant changes in expression in the facial video stream; overlay the identification information of the tasting sample onto the key frames in the form of dynamic graphics; and convert the micro-expression time sequence data into emotional curve animation, and synthesize it with the key frames and the identification information of the tasting sample to generate a digital short video.

[0010] Furthermore, the system also includes a blockchain node that communicates with the interactive terminal and the management server; the interactive terminal is also used to generate an allocation record containing the tasting sample recipe, time and interactive terminal number after the liquid distribution module provides the tasting sample; the blockchain node is used to associate the allocation record, the content hash value of the digital short video and the distribution identifier on the blockchain for storage.

[0011] Furthermore, the revenue-sharing engine is specifically used to: determine the corresponding revenue-sharing ratio based on the product sample information associated with the reimbursement request; identify the content creator's account based on the distribution identifier; calculate the revenue-sharing amount based on the reimbursement ratio for the reimbursement amount; and trigger the payment process to the content creator's account.

[0012] Furthermore, the management server also includes a data dashboard, which visualizes the consumption data of the tasting samples from each interactive terminal, the number of digital short videos generated, the dissemination data of each short video, and the resulting reimbursement and revenue sharing data.

[0013] Furthermore, the interactive terminal also includes an environmental sensor to collect the ambient light intensity during the tasting process; the content generation unit is also used to adaptively adjust the rendering filters of the digital short video according to the ambient light intensity.

[0014] Secondly, this invention provides a digital social evaluation method based on real-time emotional feedback, using the aforementioned system, including: The interactive terminal responds to user operations, provides tasting samples, and simultaneously activates the camera module to capture facial video streams of the user during the tasting process. The identification information and facial video stream of the tasting samples are uploaded to the content distribution server; Through the content distribution server, micro-expression time-series data is obtained based on facial video stream analysis, and combined with the identification information of the tasting samples, digital short videos with unique distribution identifiers are automatically generated and bound, and pushed to users' social media portals. The management server receives and verifies offline verification requests based on distribution identifiers scanned in digital short videos. After successful verification, the distribution identifier is used to trace back to this product appreciation event and the corresponding digital short video, and the revenue sharing operation is performed according to the preset rules.

[0015] Thirdly, the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of the method described above.

[0016] The working principle of this invention is to establish and execute a tightly coupled real-time data flow closed loop of "trigger-collection-analysis-generation-binding-propagation-verification-traceability-revenue sharing-feedback".

[0017] Triggering and Acquisition: The user initiates a specific, reproducible physical tasting action (such as starting a custom recipe preparation) through the interactive terminal. This action not only triggers a precise physical response from the liquid dispensing module but also simultaneously and automatically triggers the camera module to begin capturing the user's facial video stream. This ensures a strict correspondence between the "source" of digital content and the "starting point" of the physical experience, establishing a connection from the very beginning.

[0018] Analysis and Generation: The collected facial video stream and the identification information of the tasting samples are uploaded to the content distribution server in real time. The sentiment analysis unit performs millisecond-level parsing of the video stream, extracting micro-expression time-series data reflecting the user's instantaneous subjective feelings. The content generation unit then intelligently integrates this physiological feedback data with the tasting sample information. Through keyframe recognition, dynamic graphics overlay, emotional visualization, and intelligent editing, a subjective, instantaneous experience is objectively, structurally, and artistically packaged into a standard digital short video. This process achieves an automated and creative transformation from "physical interaction + physiological signals" to "high-quality digital assets."

[0019] Binding and Distribution: A unique distribution identifier is bound to each short video. This identifier establishes an immutable index relationship with all metadata related to this product review (terminal ID, recipe, time, user ID, video hash) in the system backend. The short video is then pushed to users' social media platforms through the distribution unit for dissemination. Thus, each dissemination is equivalent to distributing a "digital experience voucher" carrying complete traceability information and commercial potential.

[0020] Verification, Traceability, and Revenue Sharing: When potential consumers are attracted by short videos and scan the distribution identifiers within them to experience and redeem their purchases in-store, the verification unit on the management server processes the request. The revenue sharing engine then uses the distribution identifiers to perform precise reverse tracing, locating the original video, tasting records, and creator. Revenue sharing is then completed based on preset rules. This process establishes a reliable and automated causal link and value settlement between online "viewing / sharing" behavior and offline "consumption / redemption" behavior through unique identifiers.

[0021] Feedback: All data generated in all stages (consumption, video data, dissemination data, reimbursement data, and revenue sharing data) are gathered in the data dashboard to form a complete business performance map, providing real-time and accurate feedback for operational decisions.

[0022] The key to this closed-loop mechanism lies in the fact that "physical appraisal" is a necessary and sufficient condition for generating "distributable digital content," while "digital content" is the only credible carrier that triggers the "traceable business closed loop." These three elements are interconnected and indispensable, forming a self-reinforcing ecosystem that transcends the simple combination of hardware and software functions.

[0023] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are: 1. A digital social appreciation system, method, and medium based on real-time emotional feedback, which realizes the instant digitalization and emotional encapsulation of the appreciation process: through the linkage of interactive terminal hardware and AI content generation, an offline appreciation behavior (especially user-defined and unique appreciation behavior) is automatically and in real time transformed into a personalized short video that carries the user's current real emotional reaction (micro-expression), creating highly relevant and highly disseminable digital social assets and solving the problem of the disconnect between experience and digital content creation.

[0024] 2. A verifiable and fraud-proof social distribution closed loop has been constructed: the generated digital short video is strongly bound to the specific offline interactive terminal and the sample for the current tasting (especially the custom formula), and serves as a distribution carrier; any offline verification brought about by the video can be accurately traced back to the source of generation (terminal, sample, user), so that the social recommendation and profit-sharing mechanism based on real experience can operate credibly, solving the problems of broken and unverifiable traditional marketing links.

[0025] 3. A real-time data loop of "physical interaction - digital content - business conversion" has been formed: from the initiation of the liquid dispensing action to the collection of facial data, to the generation and distribution of AI videos, and finally to the feedback and revenue sharing of offline verification, all data flows and is interconnected in real time within the system; this allows operators to accurately assess the impact of different tasting samples (or recipes) on user emotions, the dissemination effect of the generated content, and the final conversion efficiency, providing closed-loop data support for product optimization and precision marketing, and breaking down data silos. Attached Figure Description

[0026] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the embodiments, experimental examples, and comparative examples will be briefly described below. It should be understood that the following drawings only show some embodiments of the present invention and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort, wherein: Figure 1 This is an architecture diagram of the system of the present invention; Figure 2 This is an architectural diagram of the method of the present invention; Figure 3 This is an architecture diagram of the liquid distribution module in the system of the present invention; Figure 4 This is an architecture diagram of the content generation unit in the system of this invention; Figure 5 This is an architecture diagram of the blockchain node in the system of this invention; Figure 6 This is an architecture diagram of the revenue sharing engine in the system of this invention; Figure 7This is an architecture diagram of the management server in the system of this invention; Figure 8 This is an architecture diagram of the interactive terminal in the system of this invention; Figure 9 This is also an architecture diagram of the content generation unit in the system of this invention. Detailed Implementation

[0027] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings, embodiments, experimental examples, and comparative examples. It should be understood that the specific embodiments described herein are only for explaining the invention and are not intended to limit the invention; that is, the described embodiments are merely some embodiments of the invention, and not all embodiments. The components of the embodiments of the invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations.

[0028] Therefore, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely to illustrate selected embodiments of the invention. All other embodiments obtained by those skilled in the art based on the embodiments of the invention without inventive effort are within the scope of protection of the invention.

[0029] It should be noted that relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0030] The features and performance of the present invention will be further described in detail below with reference to embodiments.

[0031] I. Implementation Examples Example 1 This invention discloses a digital social appraisal system, method, and medium based on real-time emotional feedback, such as... Figure 1 , Figure 2 , Figure 3 , Figure 4 , Figure 5 , Figure 6 , Figure 7 , Figure 8 , Figure 9 As shown, this embodiment is specifically implemented as follows: it includes an interactive terminal, a content distribution server, and a management server. The interactive terminal is typically deployed in offline locations such as bars, brand experience stores, and retail terminals. The content distribution server and management server can be deployed in the cloud. The interactive terminal communicates with the content distribution server and management server via the Internet.

[0032] The interactive terminal includes a housing, a liquid dispensing module integrated within the housing, a camera module, a first communication module, a control unit, and a user interface.

[0033] The liquid dispensing module is used to provide tasting samples. In a preferred embodiment, the liquid dispensing module includes a multi-channel reservoir unit, a precision pumping unit, and a blending control unit. The multi-channel reservoir unit stores different base spirits or flavored spirits. The precision pumping unit is connected to each channel of the multi-channel reservoir unit and can be a high-precision peristaltic pump driven by a micro stepper motor. The blending control unit is electrically connected to the user interface (such as a touchscreen) and the precision pumping unit. The user inputs or selects a recipe through the user interface (e.g., 40ml base spirit A, 15ml liqueur B, 3 drops of flavoring agent C). The blending control unit then generates corresponding control commands, driving the precision pumping unit to extract liquids from the corresponding channels of the multi-channel reservoir unit according to a set ratio and sequence, mix them, and output them to the user's tasting glass, forming a user-defined tasting sample. After each dispensing operation, the liquid dispensing module generates a dispensing record, which includes at least recipe details, a timestamp, and the local terminal ID.

[0034] The camera module is preferably a high-definition wide-angle camera, whose field of view covers the user's tasting area in front of the interactive terminal. When the control unit detects that the liquid dispensing module has started dispensing, or receives a "start tasting" command through the user interface, it automatically wakes up the camera module and begins recording the user's facial video stream for a preset period of time (e.g., 60 seconds) to capture the user's facial expression changes throughout the entire process from seeing the liquid flow, raising the glass, smelling the aroma, tasting, to the aftertaste.

[0035] The first communication module (such as a 4G / 5G or Wi-Fi module) is used to package the identification information of the tasting samples (such as "Custom Recipe: A+B+C" or the name of the selected wine) with the captured facial video stream and upload it to the content distribution server in real time. Simultaneously, the allocation record can also be sent to the management server or the blockchain node mentioned later.

[0036] The content delivery server receives data from interactive terminals. Its internal sentiment analysis unit analyzes the received facial video stream in real time based on deep learning models (such as convolutional neural networks and facial motion coding systems), extracting the user's micro-expression features (such as the intensity and timing of pleasure, surprise, frowning, and smiling) frame by frame or by time slice, forming structured micro-expression temporal data.

[0037] The content generation unit is one of the core modules of this invention. Its workflow includes: S1: Intelligent keyframe marking. Automatically analyzes facial video streams to identify key time points with distinctive characteristics, such as: t1 (when the liquid begins to flow into the glass), t2 (when the user first raises the glass), t3 (when the user drinks), and t4 (when the user's expression is most expressive, such as when reminiscing or making a comment).

[0038] S2: Element Fusion and Rendering. Based on these keyframes, the identification information of the tasting samples (such as "Recipe: A+B+C") is animatedly overlaid on the screen in the form of dynamic ink calligraphy or artistic fonts. At the same time, the micro-expression time-series data generated by the sentiment analysis unit is visualized as an animated sentiment waveform or radar chart that changes over time and overlaid in the corner of the video.

[0039] S3: Intelligent Editing and Background Music. Following a cinematic narrative rhythm of "pouring wine - raising a glass - tasting - reflection / evaluation," it automatically edits short video clips (e.g., 15-30 seconds) containing keyframes. It intelligently matches background music to match the corresponding emotions based on the overall tendency of micro-expressions (e.g., predominantly pleasant).

[0040] S4: Bind Distribution Identifier. Generate a unique distribution identifier (such as a uniquely coded QR code or short link) for this unique digital short video and embed it into the video as a watermark or end credits. This distribution identifier is strongly associated in the system backend with the interactive terminal ID that generated this video, the user's sample information for this review, and the user account (if logged in).

[0041] The distribution unit will then automatically publish the final generated digital short video, which is bound to the distribution identifier, to the corresponding user's preset social platforms (such as WeChat Video Channel, Douyin, etc.) or push it to the user's mini program / APP personal center for one-click sharing.

[0042] The management server is primarily responsible for verifying and executing the business loop. Its verification unit receives requests from offline store POS systems or dedicated verification terminals. When a consumer sees the aforementioned digital short video on social media and is attracted to visit a store, store staff can scan the distribution logo (QR code) in the video. This action generates a voucher or verification code containing that distribution logo. After the consumer redeems this code at the store and tastes a sample of the same product (i.e., the "recipe: A+B+C" shown in the video), staff process the verification. The verification unit verifies the validity of the code (whether it's the first time using it, whether it's expired, etc.).

[0043] The revenue-sharing engine activates after successful verification. Based on the distribution identifier in the verification request, it traces back to the corresponding digital short video, then locates the original interactive terminal that generated the video and the tasting record for that session, ultimately linking it to the video's "creator" (the user who initially generated the video) account. The revenue-sharing engine calculates the revenue-sharing amount from the order amount for this verification based on the wine series to which the tasting sample belongs or preset rules (e.g., 15% revenue sharing for premium series), and automatically triggers a transfer to the "creator's" account (such as WeChat Wallet), achieving T+0 real-time revenue sharing.

[0044] Furthermore, the management server's data dashboard provides operators with a visual dashboard that displays the real-time operational status of each terminal, the popularity of various recipes / wine (number of times they were selected to be made), the number of videos generated, the average number of video views, the sharing rate, and most importantly, the actual number of redemptions and the amount generated by each video or each distribution identifier, as well as the total revenue generated. This constitutes a complete and measurable data loop.

[0045] Example 2 This invention discloses a digital social appraisal system, method, and medium based on real-time emotional feedback, such as... Figure 1 , Figure 2 , Figure 3 , Figure 4 , Figure 5 , Figure 6 , Figure 7 , Figure 8 , Figure 9 As shown, the specific implementation of this embodiment is as follows: Based on embodiment 1, this embodiment further enhances the system's credibility and auditability. A blockchain node is added to the system, which communicates with the interactive terminal and the management server.

[0046] After the liquid dispensing module of the interactive terminal completes the dispensing of a tasting sample, the control unit generates a dispensing record, which includes at least: the recipe hash (an encrypted digest of the recipe data), a timestamp, and the terminal ID. This record is then sent to the blockchain node.

[0047] After generating a digital short video, the content generation unit of the content distribution server calculates the content hash (such as the SHA-256 value) of the video file and sends the hash value along with the distribution identifier bound to the short video to the blockchain node.

[0048] Blockchain nodes associate the received allocation records, content hashes, and distribution identifiers, and package them onto the blockchain (e.g., deployed on Ethereum or a consortium blockchain). This ensures that any subsequent revenue sharing is based on immutable on-chain evidence (i.e., "a user created a certain recipe at a certain time and place, and generated a video with specific content"). This significantly enhances the transparency and credibility of the revenue sharing mechanism, effectively preventing disputes.

[0049] Example 3 This invention discloses a digital social appraisal system, method, and medium based on real-time emotional feedback, such as... Figure 1 , Figure 2 , Figure 3 , Figure 4 , Figure 5 , Figure 6 , Figure 7 , Figure 8 , Figure 9 As shown, the specific implementation method of this embodiment is: a specific application process of the system in a bar scene.

[0050] User A, at the bar's interactive terminal, selected the "DIY cocktail" function via the touchscreen, designed a recipe called "Summer Neon" (40ml gin, 20ml elderflower liqueur, 10ml lemon juice), and confirmed its preparation.

[0051] The interactive terminal's liquid dispensing module precisely mixes and dispenses the "Summer Neon" drink. Simultaneously, the camera module automatically activates, recording user A's entire experience: from curiously watching, raising the glass to admire it, to tasting it and revealing a delighted smile. The data is then uploaded.

[0052] The content distribution server receives the data. The sentiment analysis unit determines that user A experienced a strong sense of "surprise" upon tasting the product and a subsequent feeling of "pleasure." The content generation unit captures the highlight, adds a dynamic "Summer Neon" recipe name and a vibrant emotional waveform, generating a cool 15-second short video and embedding a unique QR code (distribution identifier). The video is automatically published to user A's social media accounts.

[0053] User A's friend B saw the video on social media and became interested in "Summer Neon." He scanned the QR code in the video, obtained a "Summer Neon" experience voucher, and navigated to the bar.

[0054] Friend B showed his voucher at the bar, and after the bartender verified it, he made him the same "Summer Neon" drink.

[0055] The management server's verification unit receives the verification request. The revenue sharing engine traces the customer's origin through the QR code to a video created by user A, and automatically calculates the revenue sharing from the sales of "Summer Neon" based on the preset 10% revenue sharing ratio for the "Custom Recipe" category, and deposits the bonus into user A's account in real time.

[0056] The bar operator saw through the data dashboard that the user-created recipe "Summer Neon" had been made 50 times this week, generating 50 videos and bringing 20 in-store redemptions, successfully turning user A into a "recommendation officer" for the brand.

[0057] Example 4 This invention discloses a digital social appraisal system, method, and medium based on real-time emotional feedback, such as... Figure 1 , Figure 2 , Figure 3 , Figure 4 , Figure 5 , Figure 6 , Figure 7 , Figure 8 , Figure 9 As shown, the specific implementation of this embodiment is as follows: The difference between this embodiment and Embodiment 1 is that, in the tasting mode, the user interface of the interactive terminal not only provides recipe selection but also a blind tasting challenge game with standard tasting samples. The liquid dispensing module randomly assigns a known wine sample according to the game level.

[0058] When generating digital short videos, the content generation unit uses the tasting sample identification information "Blind Tasting Challenge - Level X" and dynamically displays the correct answer (the name of the wine) for that level at the end of the video in a suspenseful manner.

[0059] Therefore, the system is also applicable to standardized tasting education and fun challenges. The content it generates is more easily disseminated due to its "challenge" and "reveal" attributes, and it is also suitable for subsequent distribution and revenue sharing loops.

[0060] Example 5 This invention discloses a digital social appraisal system, method, and medium based on real-time emotional feedback, such as... Figure 1 , Figure 2 , Figure 3 , Figure 4 , Figure 5 , Figure 6 , Figure 7 , Figure 8 , Figure 9As shown, the specific implementation of this embodiment is as follows: The difference between this embodiment and Embodiment 1 is that the interactive terminal also includes an environmental sensor, such as a light sensor. The environmental sensor is used to collect the ambient light intensity and color temperature of the operating table during the tasting process.

[0061] When rendering digital short videos, the content generation unit of the content delivery server adaptively selects video filters based on the received ambient light data. For example, it automatically applies a "retro film" filter in warm yellow light environments and a "fresh and bright" filter in bright white light environments, making the generated short videos visually blend into the user's original shooting environment and enhancing the quality of the content.

[0062] II. Experimental Examples and Comparative Examples Experiment Example 1: Verification of the System's Full-Function Workflow Objective: To verify the smoothness, automation level, and time consumption of the entire process of the present invention system (as described in Example 1) from product evaluation to video generation to reimbursement and revenue sharing.

[0063] Setup: Deploy one interactive terminal in a craft beer bar and activate all functions of the system. Invite 30 ordinary consumers as test users.

[0064] Process: Each user uses the DIY function on the interactive terminal to create a custom recipe (with a self-defined name) and prepare the food. The system automatically records and generates a short video. Users then share the video to their social media circles. Within the following 72 hours, the number of people who scan the QR code in the video to redeem the same recipe at the store is recorded.

[0065] Test results: Content generation rate: 30 tasting actions successfully triggered and automatically generated 30 digital short videos, with a content generation success rate of 100%.

[0066] Average generation time: From the end of the user's viewing to the short video being pushed to the user's mobile phone, the average time is 4.2 minutes (±0.8 minutes).

[0067] Redemption Conversion: The 30 videos generated 12 in-store redemptions, with a redemption conversion rate (number of redemptions / number of video generations) of 40%. All 12 redemptions were correctly traced back to the original videos and creators by the system.

[0068] Account splitting accuracy: All 12 account splitting transactions were executed automatically and accurately, with the splitting amount and preset ratio (10%) calculated correctly and without any disputes.

[0069] Conclusion: The system of this invention can stably and automatically complete the entire closed loop from physical appraisal to digital content generation, dissemination, verification and revenue sharing. The process is smooth and the time consumption is within an acceptable range, verifying the integrity and feasibility of the technical solution.

[0070] Experiment Example 2: Verification of the Closed-Loop Effect of Social Distribution Objective: To compare the effectiveness of the system of this invention (including emotional videos and closed-loop revenue sharing) with two traditional marketing methods in promoting in-store consumption.

[0071] Setup: Select three bars, A, B, and C, with similar customer traffic and positioning, and conduct an experiment for 4 weeks.

[0072] Store A (the invention group): Deploy the system of this invention. After users DIY, they can obtain AI-generated personalized emotional short videos for sharing. Sharing brings redemption and can generate revenue sharing.

[0073] Shop B (Traditional Sharing Group): Only offers DIY cocktail making, encourages users to take photos / videos with their own mobile phones and share them on social media platforms. The shop has a "share to get a free snack" activity, but there is no online tracking or revenue sharing.

[0074] Store C (control group): Only offers DIY cocktail making, without any mechanism to encourage sharing or online tracking.

[0075] Measurement metric: The number of new consumer orders generated per week per store directly or indirectly by the DIY bartending experience (tracked via verification codes or customer self-reporting).

[0076] Table 1 shows the test results of Experiment Example 2. Conclusion: The new order volume generated by the system of this invention (Store A) is significantly higher than that of the traditional sharing-encouraging method (Store B) and the unguided method (Store C). This invention effectively stimulates users' willingness to share by providing high-quality, easily disseminated digital content (short videos) and combining it with real economic incentives (revenue sharing), and transforms sharing into measurable and traceable consumption behavior, forming a powerful social distribution pull effect.

[0077] Experiment Example 3: Verification of Data Closed Loop Support for Operational Decision Making Objective: To verify whether the closed-loop data provided by the system data cockpit of this invention can effectively guide operational decisions (such as formula optimization and marketing resource allocation).

[0078] Setup: Use the system of this invention in a wine tasting center for one month to collect data on various indicators in the cockpit.

[0079] Process and Discoveries: Recipe popularity analysis: Data dashboard shows that the user-created recipe "Peach Moscato Sparkling Drink" was made the most times (85 times), and the video generated by it also had the highest average number of views (1250 times).

[0080] Emotion-conversion correlation analysis: Further analysis revealed that the top 20% of videos showing a higher peak of "pleasure" in users' micro-expressions when tasting "Peach Moscato Sparkling Drink" had a redemption conversion rate 1.8 times higher than the average.

[0081] Decision and Verification: Based on this data, the operations team decided to make "Peach Moscato Sparkling Drink" the flagship recipe and offer extra points to users who generate "highly enjoyable" videos to encourage more active sharing. The following month, the number of times this recipe was made increased to 120, resulting in a 35% month-on-month increase in redeemed orders.

[0082] Conclusion: The multi-dimensional closed-loop data of "formula consumption - video dissemination - redemption conversion - user emotion" provided by the system of this invention can accurately reveal the market popularity, content dissemination effectiveness and final conversion ability of different products, and discover potential correlations (such as emotional intensity and conversion rate). It provides reliable data basis for product optimization, precision marketing and incentive strategy adjustment, and realizes data-driven intelligent operation.

[0083] Comparative Example 1: No automated content generation function Setup: A comparative scheme is simulated, which features the DIY cocktail-making function of the interactive terminal of this invention, as well as a similar management server revenue-sharing function, but lacks a content distribution server. Users need to use their own mobile phones to record the experience process and manually upload it to a platform, which then manually binds a distribution QR code to each upload (the process is complex).

[0084] Compared to Experiment 2: This approach significantly weakens the "experience-content" conversion process. Expected results: The content generation rate is extremely low: Due to the cumbersome operation, the proportion of users willing to manually shoot and upload is very low (estimated <20%).

[0085] Poor content quality and consistency: Video quality depends on the user's mobile phone and shooting skills, making it impossible to guarantee a consistent output in terms of branding and artistry.

[0086] High barriers to sharing: The numerous steps in the entire process significantly reduce the number of sharing behaviors that ultimately form an effective distribution channel.

[0087] Results: The social media reach and order conversion rates resulting from this solution will be significantly lower than those in Experiment Example 2 of this invention. This demonstrates that automated, high-quality content generation is the key entry point and efficiency bottleneck for initiating a social distribution cycle; without this step, the subsequent revenue-sharing loop is impossible.

[0088] Comparative Example 2: No revenue sharing closed-loop function Setup: A comparative scheme is simulated, which has the interactive terminal and content distribution server of this invention, which can automatically generate exquisite short videos, but the management server does not have a revenue sharing engine, that is, there is no economic reward for sharing.

[0089] Compared to Experiment 2: This solution only includes the "experience-content" stage, lacking the "content-conversion" business incentive loop. Expected results: The motivation for sharing is singular: users share only out of spontaneous social interaction or to gain recognition, lacking direct economic incentives.

[0090] Weak conversion tracking: Although the videos are labeled, there is a lack of direct benefit feedback mechanisms for sharers (creators), making it difficult to continuously incentivize them to make targeted, facilitative shares.

[0091] Results: This approach may initially gain some traction due to its novelty, but it struggles to establish a stable and scalable "referral agent" ecosystem. The resulting redemption conversions, in terms of sustainability and scale, are significantly lower than the scheme in this invention that incorporates a revenue-sharing loop (Experimental Example 2). This demonstrates that economic incentives and credible revenue sharing are the core drivers for maintaining the activity of social distribution networks and converting dissemination into actual sales.

[0092] Comparative Example 3: Content and experience are weakly linked (no real-time emotional connection / no precise recipe association) Setup: Simulate a comparison scheme with a revenue-sharing function. The content generation method is as follows: After tasting, the user selects a general video template from the system's pre-set library that is unrelated to the current wine, generates a "check-in video", and binds it with a distribution identifier.

[0093] Compared to Experiments 2 and 3: In this approach, the digital content is decoupled from the user's specific, authentic tasting experience (especially emotional responses and customized recipes). The video content is homogenized and fails to reflect genuine feelings.

[0094] Expected results: Loss of authenticity and uniqueness: The generated videos are all the same, lacking genuine emotions and personalized stories that can move people, resulting in a decline in their ability to spread.

[0095] Reduced credibility of distribution: Consumers find it difficult to believe the connection between video content and real product experience, thus reducing their motivation to scan codes for verification.

[0096] Data value distortion: Operators cannot obtain real "emotion-product" feedback data, such as the in-depth analysis in Experiment Example 3.

[0097] Results: The overall effect of this solution falls between that of Comparative Example 2 and Experimental Example 2 (Store A), but is significantly lower than that of this invention. This demonstrates that deeply integrating real-time collected user physiological feedback (micro-expressions) with precise tasting sample information into content generation is the key innovation for creating highly communicable and credible digital assets, thereby improving the efficiency of the entire closed loop, rather than simply applying a template.

[0098] The above experimental examples and comparative examples together demonstrate that the organic combination of the various modules (precise interactive terminal, AI emotional content generation, and trusted revenue sharing closed loop) in the system and method described in this invention produces a significant synergistic effect, improving user experience, stimulating social dissemination, achieving precise conversion, and data-driven operation.

[0099] The above description is only a preferred embodiment, experimental example, and comparative example of the present invention, and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, and improvements made by those skilled in the art within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A digital social appreciation system based on real-time emotional feedback, characterized in that, This includes interactive terminals, content distribution servers, and management servers; The interactive terminal, located at the tasting venue, includes a liquid dispensing module, a camera module, and a first communication module; the liquid dispensing module is used to provide at least one tasting sample in response to user operation; the camera module is used to capture a video stream of the user's face during the user's tasting of the sample. The content distribution server, which is communicatively connected to the interactive terminal, includes: The sentiment analysis unit is used to extract the user's micro-expression time-series data from the facial video stream; The content generation unit is used to automatically generate a digital short video containing elements related to this tasting based on the identification information of the tasting sample and the micro-expression time sequence data, and to bind a unique distribution identifier to the digital short video; The distribution unit is used to push digital short videos bound with the distribution identifier to the social media portals of the corresponding users; The management server, which is communicatively connected to the content distribution server, includes: The verification unit is used to receive verification requests from offline service outlets, the verification requests carrying an experience code obtained based on scanning the distribution identifier in the digital short video; The revenue sharing engine is used to trace the corresponding digital short video based on the distribution identifier after the verification unit confirms the successful verification, and further associate it with the interactive terminal that generated the short video and the sample information of the current tasting, and trigger the revenue sharing operation corresponding to the distribution identifier based on preset rules.

2. The digital social appraisal system based on real-time emotional feedback according to claim 1, characterized in that, The liquid dispensing module includes a multi-channel liquid storage unit, a precision pumping unit connected to the multi-channel liquid storage unit, and a cocktail control unit. The cocktail control unit is used to receive the user's recipe input and control the precision pumping unit to extract and mix liquids from the multi-channel liquid storage unit according to the recipe ratio to form a user-customized tasting sample.

3. The digital social appraisal system based on real-time emotional feedback according to claim 1, characterized in that, The content generation unit is specifically used to: identify the wine pouring start frame, the glass raising frame, and key frames with significant facial expression changes in the facial video stream; overlay the identification information of the tasting sample onto the key frames in the form of dynamic graphics; and convert the micro-expression time sequence data into an emotion curve animation, and synthesize it with the key frames and the identification information of the tasting sample to generate the digital short video.

4. A digital social appraisal system based on real-time emotional feedback according to claim 2, characterized in that, The system also includes a blockchain node that communicates with the interactive terminal and the management server; the interactive terminal is also used to generate an allocation record containing the tasting sample recipe, time and interactive terminal number after the liquid distribution module provides the tasting sample; the blockchain node is used to associate the allocation record, the content hash value of the digital short video and the distribution identifier on the blockchain for storage.

5. A digital social appraisal system based on real-time emotional feedback according to claim 1, characterized in that, The revenue-sharing engine is specifically used to: determine the corresponding revenue-sharing ratio based on the product sample information associated with the reimbursement request; determine the content creator account based on the distribution identifier; calculate the revenue-sharing amount based on the reimbursement amount according to the revenue-sharing ratio; and trigger the payment process to the content creator account.

6. A digital social appraisal system based on real-time emotional feedback according to claim 1, characterized in that, The management server also includes a data dashboard, which is used to visually display the consumption data of the tasting samples of each interactive terminal, the number of digital short videos generated, the dissemination data of each short video, and the verification and revenue sharing data generated therefrom.

7. A digital social appraisal system based on real-time emotional feedback according to claim 1, characterized in that, The interactive terminal also includes an environmental sensor for collecting ambient light intensity during the tasting process; the content generation unit is also used to adaptively adjust the rendering filter of the digital short video according to the ambient light intensity.

8. A digital social evaluation method based on real-time emotional feedback, characterized in that, The system applied to any one of claims 1 to 7 comprises: The interactive terminal responds to user operations, provides tasting samples, and simultaneously activates the camera module to capture facial video streams of the user during the tasting process. The identification information of the sample to be evaluated and the facial video stream are uploaded to the content distribution server; The content distribution server analyzes the facial video stream to obtain micro-expression time-series data, and combines it with the identification information of the tasting sample to automatically generate and bind a digital short video with a unique distribution identifier, which is then pushed to the user's social media portal. The management server receives and verifies offline verification requests generated based on the distribution identifiers scanned in the digital short videos. After successful verification, the distribution identifier is used to trace back to this product appreciation and the corresponding digital short video, and the revenue sharing operation is performed according to the preset rules.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the method as described in claim 8.

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