A multi-dimensional interactive control method and system suitable for science museums

Abstract

The present invention discloses a multi-dimensional interactive control method and system suitable for a science museum. The method comprises the following steps: obtaining multiple exhibits in the science museum, determining the interactive attributes of each exhibit, and setting multiple recommended interactive modes for each exhibit based on the interactive attributes; obtaining the user's interactive needs, determining the user's desired interactive items based on the interactive needs, and determining a deep mining method for the desired interactive items; determining the optimal interactive mode for the desired interactive items based on the deep mining method in the recommended interactive mode; obtaining the user's interactive purpose parameters, and determining the interactive main function and interactive auxiliary function of the optimal interactive mode based on the interactive purpose parameters; and controlling the interactive components to perform intelligent interactive control based on the interactive main function and interactive auxiliary function. The method can maximize the teaching effect of the exhibits while providing users with an idealized interactive mode, thereby improving the user experience and practicality.

Description

Technical Field

[0001] The present invention relates to the field of intelligent interaction technology, and in particular to a multi-dimensional interaction control method and system suitable for science museums. Background Art

[0002] A science museum is a public venue dedicated to popularizing scientific knowledge, promoting the scientific spirit, and enhancing scientific literacy. Home to a dazzling array of scientific exhibits, a crucial challenge facing science museums is how to better engage visitors and provide them with a deeper understanding of the scientific principles behind these exhibits. To enhance visitor experience and satisfaction, science museums often employ multi-dimensional interactive control technology, allowing them to more intuitively engage with the exhibits. However, existing multi-dimensional interactive control methods often have limitations, such as high operational complexity and a poor interactive experience. Furthermore, these methods fail to maximize educational benefits, resulting in a poor user experience and reduced practicality. Summary of the Invention

[0003] In response to the problems shown above, the present invention provides a multi-dimensional interactive control method and system suitable for science museums to solve the problem mentioned in the background technology that the existing multi-dimensional interactive control method often has some limitations and cannot highlight the maximum teaching effect, resulting in poor user experience and reduced practicality.

[0004] A multi-dimensional interactive control method suitable for a science museum comprises the following steps:

[0005] Obtain multiple exhibits from the science museum, determine the interactive attributes of each exhibit, and set multiple recommended interaction methods for each exhibit based on the interactive attributes;

[0006] Obtain the user's interaction needs, determine the user's expected interaction items based on the interaction needs, and determine the in-depth mining method for the expected interaction items;

[0007] Determine the optimal interaction mode for the desired interaction item in the recommended interaction modes based on a deep mining method, obtain the user's interaction purpose parameters, and determine the interaction main function and interaction auxiliary function of the optimal interaction mode according to the interaction purpose parameters;

[0008] The interactive components are controlled according to the interactive main functions and interactive auxiliary functions to perform intelligent interactive control.

[0009] Preferably, before obtaining multiple exhibition items of the science museum, determining the interactive attributes of each exhibition item, and setting multiple recommended interaction modes for each exhibition item according to the interactive attributes, the method further includes:

[0010] Obtain the hierarchical building structure of the science museum, and determine the hierarchical scientific research product configuration type based on the hierarchical building structure and hierarchical space parameters;

[0011] Configure the display area parameters for each scientific research product based on the hierarchical scientific research product configuration type and the product attributes of each type of scientific research product;

[0012] Determine the range of people that can be accommodated based on the spatial area parameters of the display area for each scientific research product, and determine the display scale of each scientific research product based on the range of people that can be accommodated;

[0013] Set the best placement for each scientific research product within its display area according to the display scale.

[0014] Preferably, the method of obtaining multiple exhibition items of the science museum, determining the interactive attributes of each exhibition item, and setting multiple recommended interaction modes for each exhibition item according to the interactive attributes includes:

[0015] Acquire multiple thinking teaching projects of the science museum, determine the project application entity of each thinking teaching project, and determine multiple exhibition projects of the science museum based on the project application entity;

[0016] Determine the teaching needs and teaching topics of each presentation project, and determine the best feedback type for each presentation project based on the teaching needs and teaching topics;

[0017] Determine the interactive attributes of each display item based on the optimal feedback type, and determine the environmental and budget constraints based on the interactive attributes;

[0018] Multiple recommended interaction modes are set for each display item based on environmental constraints, budget constraints and interaction attributes.

[0019] Preferably, the method of setting multiple recommended interaction modes for each display item based on environmental constraints, budget constraints, and interaction attributes includes:

[0020] Determine the user teaching needs that the exhibition project can meet based on the teaching plan and principles of each exhibition project;

[0021] Determine the interactive balance point for each demonstration project based on the user teaching needs, environmental constraints, and budget constraints that each demonstration project can meet;

[0022] Obtain the adaptive interactive devices that meet the interactive balance point of each display project and determine the supported interactive forms of each interactive device;

[0023] Set multiple recommended interaction methods for each display item based on the supported interaction forms.

[0024] Preferably, obtaining the user's interaction needs, determining the user's desired interaction items based on the interaction needs, and determining a deep mining method for the desired interaction items include:

[0025] Collect user behavior data in the science museum, analyze the behavior data to determine the user's stop location, and obtain the configuration display items at the stop location;

[0026] Determine the user's interaction needs based on the displayed items at the stop location, and determine the user's expected interaction items based on the interaction needs;

[0027] Obtain the teaching objectives and teaching logic of the expected interactive project, and determine the in-depth mining method of the expected interactive project based on the teaching objectives and teaching logic.

[0028] Preferably, the method of determining the optimal interaction mode for the desired interaction item in the recommended interaction mode based on the deep mining method, obtaining the user's interaction purpose parameters, and determining the interaction main function and interaction auxiliary function of the optimal interaction mode according to the interaction purpose parameters includes:

[0029] Determine the best experience mode for the desired interactive project based on the in-depth mining method, and determine the best interaction mode among the recommended interaction modes based on the best experience mode;

[0030] Obtain the user's teaching tasks and teaching objectives through questionnaires, and obtain the user's interaction purpose parameters based on the teaching tasks and teaching objectives;

[0031] The user's expected sensory feedback is determined based on the interaction purpose parameters, and the interaction main function and interaction auxiliary function of the optimal interaction method are determined based on the expected sensory feedback.

[0032] Preferably, before controlling the interactive components to perform intelligent interactive control according to the interactive main function and the interactive auxiliary function, the method further includes:

[0033] Determine the interactive elements based on the display function of each display item, and design the control level system architecture of each display item based on the interactive elements;

[0034] Configure the interactive interface according to the control level system architecture, and generate synchronous interaction parameters based on the response rules between the interactive interface and each interactive element;

[0035] Integrate the synchronous interaction parameters into the server control module and generate an interactive control strategy, and then conduct intelligent interactive control with the user through the interactive control strategy;

[0036] Determine multiple reaction indicators of users in the interaction process according to the interaction control strategy, and generate user interaction satisfaction evaluation rules based on the reaction indicators;

[0037] The user interaction satisfaction evaluation rules are used to evaluate the user's satisfaction during the interaction process and perform adaptive manual intervention.

[0038] Preferably, the intelligent interactive control of the interactive components according to the interactive main function and the interactive auxiliary function includes:

[0039] Obtaining the relevant control components of the interactive main function and the interactive auxiliary function, and obtaining the control logic parameters between the relevant control components;

[0040] Determine compatible control logic parameters and conflicting control logic parameters between the interactive main function and the interactive auxiliary function according to the control logic parameters;

[0041] The control parameters are optimized based on the compatible control logic parameters and the conflicting control logic parameters, and the interactive components are controlled to intelligently interact with the user according to the optimized control parameters.

[0042] Preferably, after setting multiple recommended interaction modes for each display item according to the interactive attributes, the method further includes:

[0043] Obtaining the interaction behavior logic structure of each recommended interaction method, and determining the interaction behavior sequence data of each recommended interaction method according to the interaction behavior logic structure;

[0044] Obtain interaction feature parameters based on interaction behavior sequence data, and determine interaction quantitative indicators based on the interaction feature parameters;

[0045] Determine the interaction depth value of each recommended interaction method based on the interaction quantification index, and divide all recommended interaction methods into deep interaction methods and shallow interaction methods based on the interaction depth value;

[0046] Obtain the associated interaction intention of each recommended interaction method, determine the interaction activation condition based on the associated interaction intention, and determine the interaction relationship set, interaction object set, and interaction state set of each recommended interaction method based on the interaction activation condition;

[0047] Determine the interaction heat data of each recommended interaction mode based on the interaction relationship set, interaction object set and interaction state set of the recommended interaction mode;

[0048] Acquire multimodal interaction data according to the interactive thermal data, construct a modal data matrix based on the multimodal interaction data, and determine multiple interaction layers according to the modal data matrix;

[0049] Obtain the interaction input signal and the interaction output signal of each interaction layer, and determine the user interaction attention mechanism of each interaction layer based on the interaction input signal and the interaction output signal;

[0050] Determine the necessary execution features and secondary execution features of each recommended interaction event based on the user interaction attention mechanism of each interaction layer;

[0051] Based on the preset interaction performance indicators, each recommended interaction method is evaluated for interaction performance according to the necessary execution features and secondary execution features of the interaction events of each recommended interaction method to obtain the evaluation results;

[0052] According to the evaluation results, the deep interaction mode and the shallow interaction mode are respectively ranked, and adaptive interaction mode is recommended to the user based on the ranking results.

[0053] A multi-dimensional interactive control system suitable for a science museum, the system comprising:

[0054] A setting module is used to obtain multiple exhibition items of the science museum, determine the interactive attributes of each exhibition item, and set multiple recommended interaction methods for each exhibition item based on the interactive attributes;

[0055] The first determination module is used to obtain the user's interaction needs, determine the user's expected interaction items based on the interaction needs, and determine the in-depth mining method of the expected interaction items;

[0056] The second determination module is used to determine the optimal interaction mode of the desired interaction project in the recommended interaction mode based on the deep mining method, obtain the user's interaction purpose parameters, and determine the interaction main function and interaction auxiliary function of the optimal interaction mode according to the interaction purpose parameters;

[0057] The control module is used to control the interactive components to perform intelligent interactive control according to the interactive main function and interactive auxiliary function.

[0058] The present invention has the following technical effects:

[0059] By selecting the best interaction method for the user based on the user's interaction needs and interaction purpose, we can maximize the teaching effect of the display project while providing the user with an ideal interaction method, thereby improving the user experience and practicality. This solves the problem that the existing multi-dimensional interactive control methods mentioned in the prior art often have some limitations and cannot highlight the maximum teaching effect, resulting in poor user experience and reduced practicality.

[0060] Other features and advantages of the present invention will be described in the following description, and in part will become apparent from the description, or will be understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description and the accompanying drawings.

[0061] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] The accompanying drawings are used to provide further understanding of the present invention and constitute a part of the specification. They are used to explain the present invention together with the embodiments of the present invention and do not constitute a limitation of the present invention.

[0063] Figure 1 A workflow diagram of a multi-dimensional interactive control method applicable to a science museum provided by the present invention;

[0064] Figure 2 Another workflow diagram of a multi-dimensional interactive control method applicable to a science museum provided by the present invention;

[0065] Figure 3 Another workflow diagram of a multi-dimensional interactive control method applicable to a science museum provided by the present invention;

[0066] Figure 4 This is a structural diagram of a multi-dimensional interactive control system suitable for a science museum provided by the present invention. DETAILED DESCRIPTION

[0067] Exemplary embodiments will be described in detail herein, with examples illustrated in the accompanying drawings. In the following description, when referring to the drawings, identical numerals in different figures represent identical or similar elements, unless otherwise indicated. The embodiments described in the following exemplary embodiments are not intended to represent all possible embodiments consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present disclosure, as detailed in the appended claims.

[0068] A science museum is a public place that aims to popularize scientific knowledge, promote the scientific spirit, and enhance scientific literacy among the public. Here, there are a wide variety of scientific and technological exhibits. How to enable the audience to better participate in them and have a deeper understanding of the scientific principles behind the exhibits is an important issue facing the science museum. In science and technology museums, in order to improve the audience's visiting experience and satisfaction, it is often necessary to adopt multi-dimensional interactive control technology so that the audience can participate in the exhibition content more intuitively. However, existing multi-dimensional interactive control methods often have some limitations, such as high operational complexity, poor interactive experience, and the inability to highlight the greatest teaching effect, resulting in a poor user experience and reduced practicality. In order to solve the above problems, this embodiment discloses a multi-dimensional interactive control method suitable for a science museum.

[0069] A multi-dimensional interactive control method suitable for science museums, such as Figure 1 As shown, the following steps are included:

[0070] Step S101: Acquire multiple exhibition items of the science museum, determine the interactive attributes of each exhibition item, and set multiple recommended interaction methods for each exhibition item based on the interactive attributes;

[0071] Step S102: Acquire the user's interaction needs, determine the user's desired interaction items based on the interaction needs, and determine a deep mining method for the desired interaction items;

[0072] Step S103: determining the optimal interaction mode for the desired interaction item from the recommended interaction modes based on the deep mining method, obtaining the user's interaction purpose parameters, and determining the interaction main function and interaction auxiliary function of the optimal interaction mode according to the interaction purpose parameters;

[0073] Step S104: Control the interactive components to perform intelligent interactive control according to the interactive main function and the interactive auxiliary function.

[0074] In this embodiment, the display items are represented by multiple teaching thinking display system items of the science museum;

[0075] In this embodiment, the interactive attributes are represented by the interactive dimension attributes of each display item that can be interacted with, including: hearing, vision, touch, etc.;

[0076] In this embodiment, the recommended interaction methods include but are not limited to: touch screen interaction, voice interaction, sensor interaction, and virtual reality interaction;

[0077] In this embodiment, the interaction requirements are represented as the user's teaching project interaction requirements;

[0078] In this embodiment, the deep mining method is represented as a mining approach or mining medium for a deep understanding of the desired interactive items;

[0079] In this embodiment, the main interactive functions include touch screen interaction, sensor interaction, gesture recognition interaction, virtual reality interaction and other main functions, and the auxiliary interactive functions include video interaction, sound assistance, lighting assistance and other auxiliary functions;

[0080] The working principle of the above technical solution is: obtain multiple display items of the science museum, determine the interactive attributes of each display item, and set multiple recommended interaction methods for each display item based on the interactive attributes; obtain the user's interaction needs, determine the user's expected interaction items based on the interaction needs, and determine the deep mining method for the expected interaction items; determine the best interaction method for the expected interaction items in the recommended interaction method based on the deep mining method, obtain the user's interaction purpose parameters, and determine the interaction main function and interaction auxiliary function of the best interaction method based on the interaction purpose parameters; control the interaction components according to the interaction main function and interaction auxiliary function to perform intelligent interaction control.

[0081] The beneficial effects of the above technical solution are: by selecting the best interaction method for the user according to the user's interaction needs and interaction purposes, it can not only maximize the teaching effect of the display project but also provide the user with an ideal interaction method, thereby improving the user experience and practicality, and solving the problem that the existing multi-dimensional interactive control methods mentioned in the prior art often have some limitations and cannot highlight the maximum teaching effect, resulting in poor user experience and reduced practicality.

[0082] In one embodiment, Figure 2 As shown, before obtaining multiple display items of the science museum, determining the interactive attributes of each display item, and setting multiple recommended interaction methods for each display item according to the interactive attributes, the following is also included:

[0083] Step S201: Obtain the hierarchical building structure of the science museum, and determine the hierarchical scientific research product configuration type according to the hierarchical building structure and hierarchical space parameters;

[0084] Step S202: configuring the display area parameters of each scientific research product according to the hierarchical scientific research product configuration type and the product attributes of each type of scientific research product;

[0085] Step S203: Determine the number of people that can be accommodated based on the spatial area parameters of the display area of ​​each scientific research product, and determine the display scale of each scientific research product based on the number of people that can be accommodated;

[0086] Step S204: setting the optimal placement of each scientific research product in its display area according to the display scale.

[0087] In this embodiment, the product attributes are represented by the scale attributes of each scientific research product;

[0088] The beneficial effects of the above technical solution are: configuring the display area according to the hierarchical scientific research product configuration type and the product attributes of each type of scientific research product, thereby determining the range of people that can be accommodated and the scale of the display, ensuring the best placement of each scientific research product, avoiding congestion caused by too many people and reducing the product usage experience due to a small display area, and improving the interactive experience.

[0089] In one embodiment, Figure 3 As shown, the method acquires multiple exhibition items of the science museum, determines the interactive attributes of each exhibition item, and sets multiple recommended interaction methods for each exhibition item according to the interactive attributes, including:

[0090] Step S301: Acquire multiple thinking teaching projects of the science museum, determine a project application entity of each thinking teaching project, and determine multiple exhibition projects of the science museum based on the project application entity;

[0091] Step S302: Determine the teaching needs and teaching theme of each presentation item, and determine the optimal feedback type for each presentation item based on the teaching needs and teaching theme;

[0092] Step S303: Determine the interactive attributes of each display item according to the optimal feedback type of the display item, and determine the environmental constraint factors and budget constraint factors according to the interactive attributes;

[0093] Step S304: setting multiple recommended interaction modes for each display item based on environmental constraints, budget constraints, and interaction attributes.

[0094] In this embodiment, the project application entity is represented as the actual effect entity of the thinking teaching project;

[0095] In this embodiment, the optimal feedback types include: visual feedback, auditory feedback, tactile feedback, etc.;

[0096] In this embodiment, the environmental constraints are represented by the environmental factors that affect the interaction of the display project area;

[0097] In this embodiment, the budget constraint is expressed as a cost constraint when interacting with the presentation item.

[0098] The beneficial effects of the above technical solution are: determining the teaching needs and teaching themes of the science museum's multiple display projects based on the science museum's multiple thinking teaching projects, thereby obtaining the best feedback type, determining environmental constraints and budget constraints and setting multiple recommended interaction methods for each display project, which can make the interactive system more adaptable. When the environment and needs change, the interaction method can be adjusted in real time according to these factors to provide the best user experience. At the same time, it can improve the speed and quality of interaction completion.

[0099] In one embodiment, the setting of multiple recommended interaction modes for each display item based on environmental constraints, budget constraints, and interaction attributes includes:

[0100] Determine the user teaching needs that the exhibition project can meet based on the teaching plan and principles of each exhibition project;

[0101] Determine the interactive balance point for each demonstration project based on the user teaching needs, environmental constraints, and budget constraints that each demonstration project can meet;

[0102] Obtain the adaptive interactive devices that meet the interactive balance point of each display project and determine the supported interactive forms of each interactive device;

[0103] Set multiple recommended interaction methods for each display item based on the supported interaction forms.

[0104] The beneficial effects of the above technical solution are: determining the interactive balance point of each display project based on the user teaching needs, environmental constraints and budget constraints that each display project can meet, obtaining adapted interactive devices and supported interactive methods, which can improve user experience. At the same time, the matching of adapted interactive devices and interactive forms can also improve the accessibility of the device. Furthermore, setting multiple recommended interactive methods can enhance user selectivity and ensure the adaptability of the device to different users and different needs.

[0105] In one embodiment, obtaining the user's interaction needs, determining the user's desired interaction items based on the interaction needs, and determining a deep mining method for the desired interaction items include:

[0106] Collect user behavior data in the science museum, analyze the behavior data to determine the user's stop location, and obtain the configuration display items at the stop location;

[0107] Determine the user's interaction needs based on the displayed items at the stop location, and determine the user's expected interaction items based on the interaction needs;

[0108] Obtain the teaching objectives and teaching logic of the expected interactive project, and determine the in-depth mining method of the expected interactive project based on the teaching objectives and teaching logic.

[0109] The beneficial effects of the above technical solution are: determining the configuration display items at the stopping location based on the user's behavioral data in the science museum, thereby determining the user's interaction needs, and accurately locating the user's needs. Furthermore, determining the deep mining method based on the teaching objectives and teaching logic of the expected interactive projects can provide users with interactive content that better meets their needs, thereby improving user participation and interaction effects and accurately controlling the interaction method with users.

[0110] In one embodiment, the method of determining the optimal interaction mode for a desired interaction item from the recommended interaction modes based on a deep mining method, obtaining the user's interaction purpose parameters, and determining the interaction main function and interaction auxiliary function of the optimal interaction mode according to the interaction purpose parameters includes:

[0111] Determine the best experience mode for the desired interactive project based on the in-depth mining method, and determine the best interaction mode among the recommended interaction modes based on the best experience mode;

[0112] Obtain the user's teaching tasks and teaching objectives through questionnaires, and obtain the user's interaction purpose parameters based on the teaching tasks and teaching objectives;

[0113] The user's expected sensory feedback is determined based on the interaction purpose parameters, and the interaction main function and interaction auxiliary function of the optimal interaction method are determined based on the expected sensory feedback.

[0114] The beneficial effects of the above technical solution are: determining the best experience mode of the expected interactive project based on the deep mining method can improve the possibility of user satisfaction. At the same time, determining the user's expected sensory feedback through the user's interaction purpose parameters, and determining the interaction main function and interaction auxiliary function of the best interaction mode can improve the applicability of the interaction mode and ensure the satisfaction of different users with the interaction mode.

[0115] In one embodiment, before controlling the interactive components to perform intelligent interactive control according to the interactive main function and the interactive auxiliary function, the method further includes:

[0116] Determine the interactive elements based on the display function of each display item, and design the control level system architecture of each display item based on the interactive elements;

[0117] Configure the interactive interface according to the control level system architecture, and generate synchronous interaction parameters based on the response rules between the interactive interface and each interactive element;

[0118] Integrate the synchronous interaction parameters into the server control module and generate an interactive control strategy, and then conduct intelligent interactive control with the user through the interactive control strategy;

[0119] Determine multiple reaction indicators of users in the interaction process according to the interaction control strategy, and generate user interaction satisfaction evaluation rules based on the reaction indicators;

[0120] The user interaction satisfaction evaluation rules are used to evaluate the user's satisfaction during the interaction process and perform adaptive manual intervention.

[0121] The beneficial effects of the above technical solution are: designing the control hierarchy system architecture of each display item according to the interactive elements, configuring the interactive interface, determining multiple reaction indicators of users during the interaction process, generating user interaction satisfaction evaluation rules and conducting satisfaction evaluation on the interaction process, which can improve users' trust and participation in the system. At the same time, adaptive manual intervention greatly enhances the interaction efficiency.

[0122] In one embodiment, controlling the interactive components to perform intelligent interactive control according to the interactive main function and the interactive auxiliary function includes:

[0123] Obtaining the relevant control components of the interactive main function and the interactive auxiliary function, and obtaining the control logic parameters between the relevant control components;

[0124] Determine compatible control logic parameters and conflicting control logic parameters between the interactive main function and the interactive auxiliary function according to the control logic parameters;

[0125] The control parameters are optimized based on the compatible control logic parameters and the conflicting control logic parameters, and the interactive components are controlled to intelligently interact with the user according to the optimized control parameters.

[0126] The beneficial effects of the above technical solution are: determining the control logic parameters between components based on the relevant control components of the interactive main function and the interactive auxiliary function, thereby determining the compatible control logic parameters and conflicting control logic parameters between the functions, which can improve the control efficiency in the control process and avoid conflicts between control parameters. Furthermore, the control parameters can be optimized to ensure the user's interactive experience.

[0127] In one embodiment, after setting multiple recommended interaction modes for each display item according to the interactivity attribute, the method further includes:

[0128] Obtaining the interaction behavior logic structure of each recommended interaction method, and determining the interaction behavior sequence data of each recommended interaction method according to the interaction behavior logic structure;

[0129] Obtain interaction feature parameters based on interaction behavior sequence data, and determine interaction quantitative indicators based on the interaction feature parameters;

[0130] Determine the interaction depth value of each recommended interaction method based on the interaction quantification index, and divide all recommended interaction methods into deep interaction methods and shallow interaction methods based on the interaction depth value;

[0131] Obtain the associated interaction intention of each recommended interaction method, determine the interaction activation condition based on the associated interaction intention, and determine the interaction relationship set, interaction object set, and interaction state set of each recommended interaction method based on the interaction activation condition;

[0132] Determine the interaction heat data of each recommended interaction mode based on the interaction relationship set, interaction object set and interaction state set of the recommended interaction mode;

[0133] Acquire multimodal interaction data according to the interactive thermal data, construct a modal data matrix based on the multimodal interaction data, and determine multiple interaction layers according to the modal data matrix;

[0134] Obtain the interaction input signal and the interaction output signal of each interaction layer, and determine the user interaction attention mechanism of each interaction layer based on the interaction input signal and the interaction output signal;

[0135] Determine the necessary execution features and secondary execution features of each recommended interaction event based on the user interaction attention mechanism of each interaction layer;

[0136] Based on the preset interaction performance indicators, each recommended interaction method is evaluated for interaction performance according to the necessary execution features and secondary execution features of the interaction events of each recommended interaction method to obtain the evaluation results;

[0137] According to the evaluation results, the deep interaction mode and the shallow interaction mode are respectively ranked, and adaptive interaction mode is recommended to the user based on the ranking results.

[0138] The beneficial effects of the above technical solution are: by dividing all recommended interaction methods into deep interaction methods and shallow interaction methods, users can adaptively select their desired interaction methods according to their own interaction needs, thereby improving the user's interaction experience. Furthermore, by using performance evaluation indicators to evaluate the interaction performance of the execution events of each recommended interaction method, the interaction performance can be maximized, further improving the user's interaction experience and practicality.

[0139] In one embodiment, this embodiment also discloses a multi-dimensional interactive control system suitable for a science museum, such as Figure 4 As shown, the system includes:

[0140] The setting module 401 is used to obtain multiple exhibition items of the science museum, determine the interactive attributes of each exhibition item, and set multiple recommended interaction methods for each exhibition item based on the interactive attributes;

[0141] The first determination module 402 is used to obtain the user's interaction needs, determine the user's desired interaction items based on the interaction needs, and determine a deep mining method for the desired interaction items;

[0142] The second determination module 403 is configured to determine the optimal interaction mode for the desired interaction item from the recommended interaction modes based on the deep mining method, obtain the user's interaction purpose parameters, and determine the interaction main function and interaction auxiliary function of the optimal interaction mode according to the interaction purpose parameters;

[0143] The control module 404 is used to control the interactive components to perform intelligent interactive control according to the interactive main function and the interactive auxiliary function.

[0144] The working principle and beneficial effects of the above technical solution have been explained in the method embodiment and will not be repeated here.

[0145] Those skilled in the art should understand that the first and second in the present invention simply refer to different application stages.

[0146] Other embodiments of the present disclosure will readily occur to those skilled in the art after considering the specification and practicing the disclosure herein. This application is intended to cover any variations, uses, or adaptations of the present disclosure that follow from the general principles of the present disclosure and include common knowledge or customary techniques in the art not disclosed herein. The description and examples are to be considered as exemplary only, with the true scope and spirit of the present disclosure being indicated by the following claims.

[0147] It should be understood that the present disclosure is not limited to the exact structures that have been described above and shown in the drawings, and that various modifications and changes can be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims

1. A multi-dimensional interactive control method suitable for a science museum, characterized in that: The following steps are involved: Obtain multiple exhibits from the science museum, determine the interactive attributes of each exhibit, and set multiple recommended interaction methods for each exhibit based on the interactive attributes; Obtain the user's interaction needs, determine the user's expected interaction items based on the interaction needs, and determine the in-depth mining method for the expected interaction items; Determine the optimal interaction mode for the desired interaction item in the recommended interaction modes based on a deep mining method, obtain the user's interaction purpose parameters, and determine the interaction main function and interaction auxiliary function of the optimal interaction mode according to the interaction purpose parameters; Control interactive components to perform intelligent interactive control based on interactive main functions and interactive auxiliary functions; Among them, intelligent interaction control is performed by controlling the interaction components according to the interaction main function and interaction auxiliary function, including: Obtaining the relevant control components of the interactive main function and the interactive auxiliary function, and obtaining the control logic parameters between the relevant control components; Determine compatible control logic parameters and conflicting control logic parameters between the interactive main function and the interactive auxiliary function according to the control logic parameters; The control parameters are optimized based on the compatible control logic parameters and the conflicting control logic parameters, and the interactive components are controlled to intelligently interact with the user according to the optimized control parameters.

2. The multi-dimensional interactive control method applicable to a science museum according to claim 1, characterized in that: Before obtaining multiple exhibits of the science museum, determining the interactive attributes of each exhibit, and setting multiple recommended interactive methods for each exhibit based on the interactive attributes, the following steps are also included: Obtain the hierarchical building structure of the science museum, and determine the hierarchical scientific research product configuration type based on the hierarchical building structure and hierarchical space parameters; Configure the display area parameters for each scientific research product based on the hierarchical scientific research product configuration type and the product attributes of each type of scientific research product; Determine the range of people that can be accommodated based on the spatial area parameters of the display area for each scientific research product, and determine the display scale of each scientific research product based on the range of people that can be accommodated; Set the best placement for each scientific research product within its display area according to the display scale.

3. The multi-dimensional interactive control method applicable to a science museum according to claim 1, characterized in that: The method of obtaining multiple exhibits of the science museum, determining the interactive attributes of each exhibit, and setting multiple recommended interactive modes for each exhibit according to the interactive attributes includes: Acquire multiple thinking teaching projects of the science museum, determine the project application entity of each thinking teaching project, and determine multiple exhibition projects of the science museum based on the project application entity; Determine the teaching needs and teaching topics of each presentation project, and determine the best feedback type for each presentation project based on the teaching needs and teaching topics; Determine the interactive attributes of each display item based on the optimal feedback type, and determine the environmental and budget constraints based on the interactive attributes; Multiple recommended interaction modes are set for each display item based on environmental constraints, budget constraints, and interaction attributes.

4. The multi-dimensional interactive control method applicable to a science museum according to claim 3, characterized in that: The method of setting multiple recommended interaction modes for each display item based on environmental constraints, budget constraints, and interaction attributes includes: Determine the user teaching needs that the exhibition project can meet based on the teaching plan and principles of each exhibition project; Determine the interactive balance point for each demonstration project based on the user teaching needs, environmental constraints, and budget constraints that each demonstration project can meet; Obtain the adaptive interactive devices that meet the interactive balance point of each display project and determine the supported interactive forms of each interactive device; Set multiple recommended interaction methods for each display item based on the supported interaction forms.

5. The multi-dimensional interactive control method applicable to a science museum according to claim 1, characterized in that: Obtain the user's interaction needs, determine the user's expected interaction items based on the interaction needs, and determine the in-depth mining method for the expected interaction items, including: Collect user behavior data in the science museum, analyze the behavior data to determine the user's stop location, and obtain the configuration display items at the stop location; Determine the user's interaction needs based on the displayed items at the stop location, and determine the user's expected interaction items based on the interaction needs; Obtain the teaching objectives and teaching logic of the expected interactive project, and determine the in-depth mining method of the expected interactive project based on the teaching objectives and teaching logic.

6. The multi-dimensional interactive control method applicable to a science museum according to claim 1, characterized in that: The method of determining the optimal interaction mode for a desired interaction item in the recommended interaction mode based on the deep mining method, obtaining the user's interaction purpose parameters, and determining the interaction main function and interaction auxiliary function of the optimal interaction mode according to the interaction purpose parameters includes: Determine the best experience mode for the desired interactive project based on the in-depth mining method, and determine the best interaction mode among the recommended interaction modes based on the best experience mode; Obtain the user's teaching tasks and teaching objectives through questionnaires, and obtain the user's interaction purpose parameters based on the teaching tasks and teaching objectives; The user's expected sensory feedback is determined based on the interaction purpose parameters, and the interaction main function and interaction auxiliary function of the optimal interaction method are determined based on the expected sensory feedback.

7. The multi-dimensional interactive control method applicable to a science museum according to claim 1, characterized in that: Before intelligent interaction control is performed by controlling the interaction components according to the interaction main function and the interaction auxiliary function, it also includes: Determine the interactive elements based on the display function of each display item, and design the control level system architecture of each display item based on the interactive elements; Configure the interactive interface according to the control level system architecture, and generate synchronous interaction parameters based on the response rules between the interactive interface and each interactive element; Integrate the synchronous interaction parameters into the server control module and generate an interactive control strategy, and then conduct intelligent interactive control with the user through the interactive control strategy; Determine multiple reaction indicators of users in the interaction process according to the interaction control strategy, and generate user interaction satisfaction evaluation rules based on the reaction indicators; The user interaction satisfaction evaluation rules are used to evaluate the user's satisfaction during the interaction process and perform adaptive manual intervention.

8. The multi-dimensional interactive control method applicable to a science museum according to claim 1, characterized in that: After setting multiple recommended interaction methods for each display item based on its interactive attributes, it also includes: Obtaining the interaction behavior logic structure of each recommended interaction method, and determining the interaction behavior sequence data of each recommended interaction method according to the interaction behavior logic structure; Obtain interaction feature parameters based on interaction behavior sequence data, and determine interaction quantitative indicators based on the interaction feature parameters; Determine the interaction depth value of each recommended interaction method based on the interaction quantification index, and divide all recommended interaction methods into deep interaction methods and shallow interaction methods based on the interaction depth value; Obtain the associated interaction intention of each recommended interaction method, determine the interaction activation condition based on the associated interaction intention, and determine the interaction relationship set, interaction object set, and interaction state set of each recommended interaction method based on the interaction activation condition; Determine the interaction heat data of each recommended interaction mode based on the interaction relationship set, interaction object set and interaction state set of the recommended interaction mode; Acquire multimodal interaction data according to the interactive thermal data, construct a modal data matrix based on the multimodal interaction data, and determine multiple interaction layers according to the modal data matrix; Obtain the interaction input signal and the interaction output signal of each interaction layer, and determine the user interaction attention mechanism of each interaction layer based on the interaction input signal and the interaction output signal; Determine the necessary execution features and secondary execution features of each recommended interaction event based on the user interaction attention mechanism of each interaction layer; Based on the preset interaction performance indicators, each recommended interaction method is evaluated for interaction performance according to the necessary execution features and secondary execution features of the interaction events of each recommended interaction method to obtain the evaluation results; According to the evaluation results, the deep interaction mode and the shallow interaction mode are respectively ranked, and adaptive interaction mode is recommended to the user based on the ranking results.

9. A multi-dimensional interactive control system suitable for a science museum, characterized in that: The system includes: A setting module is used to obtain multiple exhibition items of the science museum, determine the interactive attributes of each exhibition item, and set multiple recommended interaction methods for each exhibition item based on the interactive attributes; The first determination module is used to obtain the user's interaction needs, determine the user's expected interaction items based on the interaction needs, and determine the in-depth mining method of the expected interaction items; The second determination module is used to determine the optimal interaction mode of the desired interaction project in the recommended interaction mode based on the deep mining method, obtain the user's interaction purpose parameters, and determine the interaction main function and interaction auxiliary function of the optimal interaction mode according to the interaction purpose parameters; The control module is used to control the interactive components to perform intelligent interactive control according to the interactive main function and the interactive auxiliary function; Among them, intelligent interaction control is performed by controlling the interaction components according to the interaction main function and interaction auxiliary function, including: Obtaining the relevant control components of the interactive main function and the interactive auxiliary function, and obtaining the control logic parameters between the relevant control components; Determine compatible control logic parameters and conflicting control logic parameters between the interactive main function and the interactive auxiliary function according to the control logic parameters; The control parameters are optimized based on the compatible control logic parameters and the conflicting control logic parameters, and the interactive components are controlled to intelligently interact with the user according to the optimized control parameters.

Images