Guest-specific artificial intelligence entity system and method

Abstract

The systems and methods presented herein include a guest activity detection device configured to detect guest activity at the amusement park and transmit data indicative of the detected activity; an artificial intelligence entity management system configured to analyze the data indicative of guest activity and modify characteristics of a guest-specific artificial intelligence entity based at least in part on the data indicative of guest activity; and amusement park features located within the physical environment of the amusement park, the amusement park features configured to be instructed by the guest-specific artificial intelligence entity to modify a guest's experience of the amusement park in accordance with the characteristics of the guest-specific artificial intelligence entity.

Description

[Technical field]

[0001] (CROSS REFERENCE TO RELATED APPLICATIONS) This application claims priority to and the benefit of U.S. Provisional Application No. 63 / 340,790, entitled "Guest-Specific Artificial Intelligence Entity System and Method," filed May 11, 2022, which is incorporated herein by reference in its entirety for all purposes. [Background technology]

[0002] FIELD OF THE DISCLOSURE The present disclosure relates generally to the field of amusement parks. More specifically, embodiments of the present disclosure relate to systems and methods for enabling guest-specific artificial intelligence entities.

[0003] This section is intended to introduce the reader to various aspects of art that may be related to various aspects of the present disclosure. This discussion is believed to be helpful in providing the reader with background information to facilitate a better understanding of the various aspects of the present disclosure. As such, it should be understood that these statements are to be read in this light, and not as admissions of prior art.

[0004] Amusement parks include various features that provide a unique experience for each guest. Some features may include ride vehicles that can travel along a particular path. The path may include elements that can enhance the guest's experience as the ride vehicle travels along the path. For example, the ride vehicle may enter and exit multiple rooms as it travels along the path, and within each room there are elements that enhance the guest's experience. However, it is now recognized that the ability to create more complex (and customized) experiences can further enhance the guest's experience. Summary of the Invention

[0005] A summary of certain embodiments disclosed herein is described below. It should be understood that these aspects are presented merely to provide the reader with a summary of these specific embodiments, and are not intended to limit the scope of the present disclosure. In fact, the present disclosure can encompass a variety of aspects that may not be described below.

[0006] In certain embodiments, the system includes one or more guest activity detection devices configured to detect activity of one or more guests at the amusement park and transmit data indicative of the detected activity. The system also includes an artificial intelligence entity management system configured to analyze the data indicative of the one or more guest activities and modify one or more characteristics of one or more guest-specific artificial intelligence entities based at least in part on the analyzed data indicative of the one or more guest activities. The system further includes one or more amusement park features disposed within the physical environment of the amusement park and configured to be instructed by the one or more guest-specific artificial intelligence entities to modify a guest experience for one or more guests at the amusement park according to the one or more characteristics of the one or more guest-specific artificial intelligence entities.

[0007] Further, in certain embodiments, the method includes detecting data activity of one or more guests at the amusement park via one or more guest activity detection devices. The method also includes transmitting data indicative of the detected activities of the one or more guests via the one or more guest activity detection devices. The method further includes analyzing, via the at least one processor, the data indicative of the one or more guest activities. Further, the method includes modifying, via the at least one processor, one or more characteristics of the one or more guest-specific artificial intelligence entities based at least in part on the analyzed data indicative of the one or more guest activities. The method also includes instructing, via the one or more guest-specific artificial intelligence entities, one or more amusement park features located within the physical environment of the amusement park to modify a guest experience for one or more guests at the amusement park according to the one or more characteristics of the one or more guest-specific artificial intelligence entities.

[0008] Additionally, in certain embodiments, the system includes an artificial intelligence entity management system configured to modify one or more characteristics of one or more guest-specific artificial intelligence entities associated with one or more guests of the amusement park based at least in part on the detected activities of the one or more guests. The system also includes one or more amusement park features disposed within a physical environment of the amusement park, the one or more amusement park features configured to be instructed by the one or more guest-specific artificial intelligence entities to modify a guest experience for the one or more guests of the amusement park according to the one or more characteristics of the one or more guest-specific artificial intelligence entities.

[0009] These and other features, aspects and advantages of the present invention will become better understood from the following detailed description when taken in conjunction with the accompanying drawings, in which like reference characters refer to like elements throughout. [Brief description of the drawings]

[0010] [Figure 1] FIG. 1 is a schematic diagram of an amusement park with guest-specific artificial intelligence (AI) entities, according to one embodiment of the present disclosure. [Diagram 2] FIG. 2 illustrates a guest-specific AI entity system for commanding amusement features of the amusement park of FIG. 1 to simulate the presence of a guest-specific AI entity according to one embodiment of the present disclosure. [Diagram 3] FIG. 3 is a flow diagram of a method for operating the guest-specific AI entity system of FIG. 2 according to one embodiment of the present disclosure. [Figure 4] FIG. 3 is a flow diagram of a method for operating the guest-specific AI entity system of FIG. 2 according to one embodiment of the present disclosure. [Diagram 5] FIG. 3 illustrates various characteristics of guest-specific AI entities that may be managed by the guest-specific AI entity system of FIG. 2 in accordance with one embodiment of the present disclosure. [Figure 6] FIG. 13 illustrates a display on which a guest-specific AI entity may manifest, according to one embodiment of the present disclosure. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0011] One or more specific embodiments will now be described. In order to provide a concise description of these embodiments, not all features of an actual implementation will be described herein. It will be appreciated that, as with any engineering or design project, the development of any such actual implementation will require numerous implementation-specific decisions to be made in order to achieve the developer's particular goals, which may vary from implementation to implementation, including compliance with system and business related constraints. It will be further appreciated that such a development effort may be complex and time consuming, but will be a routine exercise in design, fabrication, and manufacture for those of ordinary skill in the art having the benefit of this disclosure.

[0012] Embodiments of the present disclosure are directed to systems and methods for managing guest-specific artificial intelligence (AI) entities, which may have specific identities, character details, personality traits, moods, preferences, etc., that may change based on the activities of guests (e.g., directly related to the AI ​​entity) within the amusement park, which may be monitored by various sensors located within the amusement park. Each AI entity may be specific to a particular guest, and as the guest moves about within the amusement park, the guest-specific AI entity may periodically appear via various amusement park features, such as displays, lighting effects systems, animated figures, sound effects systems, etc. In this manner, the guest-specific AI entity may act as a "ghost" that follows the guest as they move about the amusement park, appearing at appropriate times to enhance the sense of immersion associated with, for example, a particular themed zone within the amusement park.

[0013] Additionally, in certain embodiments, the guest-specific AI entity may exist within a digital environment, as opposed to a physical environment of the amusement park, may move within the digital environment separately from the movement of an associated guest within the physical environment of the amusement park, and may serve as a trigger source for actions within the physical environment of the amusement park that correspond to the location and / or actions of the guest-specific AI entity within the digital environment (e.g., corresponding to the physical environment of the amusement park). In particular, the guest-specific AI entity may learn from the activities of the associated guest and may interact with the digital environment in a manner that teaches the guest-specific AI entity to believe that its behavior is consistent with that of the associated guest. As one non-limiting example, Google Maps and other online mapping platforms may represent a version of a digital parallel world that corresponds directly to the real, physical world. In certain embodiments, the guest-specific AI entity may roam Google Maps and have Global Positioning System (GPS) coordinates that correspond to the physical world. This GPS location of the guest-specific AI entity may serve as a trigger source for virtual sensors (e.g., sensors in the digital world) that may affect the physical world or initiate simulated interactions of the real world, as described in more detail herein. Of course, the digital world is not constrained by the physical world, but it can have representational constraints, parallel constraints, non-relational constraints (e.g., constraints that are not related to the physical world), partially represent real-world constraints, or attempt to be fully constrained by the physical world.

[0014] Turning to the drawings, Figure 1 is a schematic diagram of an amusement park 10 having guest-specific AI entities. In particular, the amusement park 10 includes one or more amusement park features 12 (e.g., displays 12, 12A, lighting effects systems 12, 12B, animated figures 12, 12C, and / or sound effects systems 12, 12D) at or about various locations (e.g., attractions, zones, aisles, or other areas of the amusement park 10) that can be altered for a particular guest 50. As described in more detail herein, the one or more amusement park features 12 can collectively function as an AI manifestation system configured to manifest the presence of AI entities specific to a particular guest 50 of the amusement park 10.

[0015] In the illustrated embodiment, the amusement park 10 includes a number of attractions 14 including a tunnel ride attraction 14, 14A, a virtual game room attraction 14, 14B, a restaurant attraction 14, 14C, a roller coaster attraction 14, 14D, and a water attraction 14, 14E, among other attractions. As described in more detail herein, various embodiments of amusement park features 12 can be found throughout the amusement park 10, and the AI ​​entity management system 16 can initiate interactions from the amusement park features 12 to react in a manner that a guest 50 perceives as a response from an AI entity specific to a particular guest 50, based at least in part on guest data collected by various sensors 18 located within the amusement park 10.

[0016] For example, in certain embodiments, the tunnel ride attraction 14, 14A and the restaurant attraction 14, 14C may include displays 12, 12A that display images of the animated figures 12, 12C. In response to detecting a particular guest 50, such as detecting the particular guest 50 using a proximity sensor 18, 18A or a visual sensor for detecting and / or determining human presence and a camera 18, 18B for identifying the particular guest 50, the AI ​​entity management system 16 may cause the particular animated figure 12, 12C to react based at least in part on guest data collected about the particular guest 50, as described in more detail herein. Additionally, in certain embodiments, a virtual representation (e.g., virtual embodiment, hologram, image, animation) of the animated figure 12, 12C in the virtual environment (e.g., virtual game in a virtual game room) 14, 14B may react as well.

[0017] As another non-limiting example, in certain embodiments, the AI ​​entity management system 16 can determine that a particular guest 50 is currently on the tunnel ride attraction 14, 14A using data received from an electronic reader 18, 18C positioned proximate to the ride track 22 that has detected (e.g., received a signal from, scanned, etc.) data from a guest-wearable readable identifier (ID) 19, 19A (e.g., a radio frequency identification (RFID) tag, bar code, or other type of tag, code, etc., which may be readable by the electronic reader 18, 18C) associated with the particular guest 50. As shown, in certain embodiments, the ride vehicle 20 of the tunnel ride attraction 14, 14A can also include one or more readable IDs 19, 19B readable by the electronic reader 18, 18C. In certain embodiments, as the ride vehicle 20 moves along the ride track 22, an electronic reader 18, 18C on the ride track 22 can read (e.g., receive a signal, scan, etc.) the readable ID 19, 19B of the ride vehicle 20 indicating the presence of the ride vehicle 20. Based on the ride vehicle 20 being present and moving along the ride track 22, the AI ​​entity management system 16 can determine that a particular guest 50 is present within a threshold distance (e.g., a threshold range) of interest, such as within a proximity distance (e.g., a threshold range) of one or more amusement park features 12, which the AI ​​entity management system 16 can be instructed to simulate the presence of an AI entity associated with the particular guest 50, as described in more detail herein. For example, the AI ​​entity management system 16 can use data indicating that a particular guest 50 is riding a particular ride vehicle 20 collected by the AI ​​entity management system 16 (e.g., at the start of the ride). Additionally or alternatively, force sensors (e.g., weight sensors) 18, 18D located on the vehicle track 22 can detect a force (e.g., weight) exceeding a threshold force (e.g., weight) indicating the presence of the ride vehicle 20 when the ride vehicle 20 moves over the force sensors (e.g., weight sensors) 18, 18D.

[0018] In certain embodiments, after the AI ​​entity management system 16 determines that a ride vehicle 20 is present and that a particular guest 50 is likely present, the AI ​​entity management system 16 can instruct additional sensors 18 to collect and / or transmit data to the AI ​​entity management system 16 (e.g., to assist in identifying the particular guest 50). For example, in certain embodiments, the AI ​​entity management system 16 can perform image analysis of the data (e.g., video and / or images) collected by the cameras 18, 18B to match the images collected by the cameras 18, 18B to those corresponding to a user ID associated with the particular guest 50. For example, the video and / or images collected by the cameras 18, 18B can be compared to a library of images stored by the AI ​​entity management system 16 to match the particular guest 50 (e.g., using image recognition algorithms) and determine a user ID based on the identification. In addition to or instead of the cameras 18, 18B, the AI ​​entity management system 16 can analyze readable ID data collected by the electronic readers 18, 18C to associate with a user ID associated with the particular guest 50. In certain embodiments, the AI ​​entity management system 16 may determine and identify the presence of a particular guest 50 using cameras 18, 18B and / or electronic readers 18, 18C, rather than first determining the presence of a particular guest 50 based on, for example, the weight of the ride vehicle 20.

[0019] After identifying the guest 50, the AI ​​entity management system 16 can analyze the guest data of the particular guest 50 and then modify the interaction of the tunnel ride attraction 14, 14A based on the guest data. For example, in certain embodiments, the guest data can indicate that the particular guest 50 is afraid of clowns. In particular, the AI ​​entity management system 16 can determine that the particular guest 50 made a statement (e.g., captured by a sound sensor 18, 18E at another attraction 14) that he is afraid of clowns. Furthermore, in certain embodiments, the sound can communicate data through a particular sound detected by the sound sensor 18, 18E such that the sound can function as a sound-based data waveform that can be processed by the AI ​​entity management system 16 for the purpose of providing information related to the activity of the particular guest 50 with respect to the amusement park 10. As used herein, the terms "sound" and "audio" may be used in the same context and, in fact, may be referred to together.

[0020] Additionally, in certain embodiments, one or more of the sensors 18 described herein may be part of a guest mobile device 34 associated with a guest 50. For example, in certain embodiments, one or more of the sensors 18 may be integrated into a cell phone or tablet associated with a particular guest 50. Additionally, in certain embodiments, one or more of the sensors 18 may be integrated into an object (e.g., a wearable device, a toy, a cell phone, a tablet, etc.) 51 associated with (e.g., worn by, carried by, owned by) a particular guest 50. In such embodiments, the guest mobile device 34 and / or the guest-related object 51 may be registered with the AI ​​entity management system 16 to enable the AI ​​entity management system 16 to track data detected by the sensors 18 integrated into the guest mobile device 34 and / or the guest-related object 51. In certain embodiments, sensors 18 integrated into guest's mobile device 34 and / or sensors 18 integrated into guest-related objects 51 can detect and / or determine the presence of guest 50 at particular locations within the physical environment of the amusement park 10 and capture data regarding guest 50 (e.g., video, images, and / or sounds of guest 50, etc.), as described in more detail herein.

[0021] As described in more detail herein, the AI ​​entity management system 16 can command activation and / or deactivation of the amusement park features 12 and / or command adjustment (e.g., customization) of outputs (e.g., actuators, visual outputs, audio outputs) of the amusement park features 12 based on data collected about a particular guest 50 by the sensors 18. For example, a particular amusement park feature 12, 12C can address a particular guest 50 when a ride vehicle 20 in which the particular guest 50 is riding approaches the amusement park feature 12, 12C, inquire about games the particular guest 50 previously played at the amusement park 10, inquire about family members of the particular guest 50 by name, make comments related to amusement park zones visited by the particular guest 50 (e.g., via an associated sound effects system 12, 12D), etc. Thus, the AI ​​entity management system 16 can command amusement park features 12 located about the amusement park 10 based on guest data determined by the sensors 18. Additionally, in certain embodiments, the AI ​​entity management system 16 can cause (e.g., instruct) the animated figure 12, 12C to, for example, grimaces and / or gestures based on guest data (e.g., grimacing and / or gesturing based on guest data that is likely to make a particular guest 50 laugh (e.g., data indicating that a particular guest 50 is likely to find something funny), grimacing and / or gesturing based on guest data that is likely to scare a particular guest 50 (e.g., data indicating that a particular guest 50 is likely to be scared)).

[0022] As an example, guest data (e.g., the number of tickets purchased for the amusement park 10, a particular time frame (e.g., on a particular day, during a particular weekend, during a particular week, etc.), the number of attractions 14 visited, the number of times each attraction was visited, the total length of time each attraction was visited, etc.) may indicate that a particular guest 50 is visiting the amusement park 10 with one or more other people (e.g., friends, family), and thus the AI ​​entity management system 16 may search for data related to the one or more other people (e.g., names of friends and / or family tagged on a social media application). Additionally, in certain embodiments, during a ride on the tunnel ride attraction 14, 14A, the AI ​​entity management system 16 may analyze video data from the cameras 18, 18B that indicate that a particular guest 50 is riding the ride vehicle 20 with one or more other guests to determine that the other guests are friends and / or family and / or are otherwise grouped together. In certain embodiments, the AI ​​entity management system 16 can perform additional image analysis to match captured image data with images on social media applications to verify the identity of other guests. Thus, the AI ​​entity management system 16 can address other guests by their names to provide customized interactions for the particular guest 50 and / or other guests. However, in certain embodiments, a particular guest 50 can control the data that is shared with the AI ​​entity management system 16, and as such, the degree of interactivity can correspond to the degree of data shared. For example, restrictions can cause the AI ​​entity management system 16 to limit interactions to only address the guest 50 by name, and not other guests.

[0023] In certain embodiments, the tunnel ride attractions 14, 14A can include other sound effect systems 12, 12D that the AI entity management system 16 modifies based on park guest data. For example, in certain embodiments, the AI entity management system 16 can cause (e.g., command) the sound effect systems 12, 12D to play (e.g., reproduce) audio (e.g., theme song, catchphrase, line, sound effect) associated with a particular park guest's favorite attraction 14. Further, in certain embodiments, the AI entity management system 16 can cause projectors to project images (e.g., a Pierrot face, an animal) into the tunnels of the tunnel ride attractions 14, 14A onto the lighting effect systems 12, 12B based on the park guest data of a particular park guest 50. Additionally, in certain embodiments, the amusement park feature 12 can change dynamically based on a particular park guest 50 being located within a threshold distance from the amusement park feature 12, as described in more detail herein. Based on the position of the park guest relative to a particular park feature 12, the AI entity management system 16 can command the output of the park feature 12 based on a particular park guest 50. For example, in certain embodiments, the AI entity management system 16 can command to activate, deactivate, and / or customize the output of the park feature 12 on the left side of the tunnel ride attractions 14, 14A for a particular park guest 50 located on the left side of the vehicle 20, and / or command to activate, deactivate, and / or customize the output of the park feature 12 on the right side of the tunnel ride attractions 14, 14A for a particular park guest 50 located on the right side of the vehicle 20.Similarly, the AI ​​entity management system 16 can instruct the activation, deactivation, and / or customization of the output of the park feature 12 for the second guest 50, 50B (e.g., projecting a spider into the tunnel for the second guest 50, 50B on the next ride vehicle 20) as a first guest 50, 50A moves out of range of the park feature 12 and a second guest 50, 50B moves into range of the park feature 12 (e.g., as the ride vehicle 20 moves along the ride track 22).

[0024] Further, in certain embodiments, the AI ​​entity management system 16 can command the animated figure 12, 12C (e.g., command to activate, command to deactivate, command to customize output) based on the particular identified guest 50 that is closest to the animated figure 12, 12C and that is within the threshold range 24. As shown, in a group 26 of guests 50, the AI ​​entity management system 16 can command the animated figure 12, 12C to respond to a guest 50 that is the first guest 50 to be within the threshold range 24. The AI ​​entity management system 16 can then stop interacting and / or switch (e.g., to a second guest 50, 50B that is within the threshold range 24) after the first guest 50, 50A falls outside the threshold range 24 and / or after a predetermined time for interacting with the first guest 50. In certain embodiments, the AI ​​entity management system 16 can also trigger various interactions (e.g., a first interaction when a first guest 50, 50A is present, a second interaction when a second guest 50, 50B is present, a third interaction when the first guest 50, 50A and the second guest 50, 50B are present together, etc.) depending on the combination of the group 26 of guests 50 and the preferences of individuals within the group 26. For example, in certain embodiments, an overlap in interests between a majority of the group members can be identified and used to provide interactions, random selection or combination of interactions can be commanded based on preferences of those in the group, interactions can be rotated based on group preferences, etc. In certain embodiments, the AI ​​entity management system 16 can command the animated figure 12, 12C to rotate and provide a modified interaction if a particular guest 50 is within the threshold range 24 but not facing the animated figure 12, 12C.

[0025] 1 has been directed primarily to tracking the physical activities of guests 50 at the amusement park 10 for the purpose of creating physical interactions in the physical environment of the amusement park 10 to simulate the presence of a guest-specific AI entity 36 in the physical environment of the amusement park 10. However, in certain embodiments, a guest-specific AI entity 36 may exist in a digital environment separate from (e.g., but perhaps directly corresponding to (e.g., coupled, linked to)) the physical environment of the amusement park 10, and may take on activities separate from the activities of its associated guest 50 that give rise to physical interactions in the physical environment of the amusement park 10, as described in more detail herein.

[0026] Additionally, in certain embodiments, the monitoring system 28 and / or service desk 30 may monitor the amusement park 10 and the AI ​​entity management system 16 to ensure that park operations are completed as expected. In particular, as described in more detail herein, interactions with a particular guest 50 that may occur through the various amusement park features 12 described herein are intended to simulate the presence of one or more AI entities that are unique to the particular guest 50 and that have developed certain "personality traits" based on all of the particular guest's 50 prior activities relative to the amusement park 10, for example, as detected and / or determined by the various sensors 18 described herein.

[0027] To illustrate how the AI ​​entity management system 16 maintains the guest-specific AI entities 36 described herein, FIG. 2 depicts a guest-specific AI entity system 32 for instructing the amusement features 12 of the amusement park 10 of FIG. 1 to simulate the presence of a guest-specific AI entity 36. As shown, the guest-specific AI entity system 32 includes sensors 18, the AI ​​entity management system 16, amusement features (e.g., attraction features) 12, and one or more guest mobile devices 34. It should be understood that the illustrated system is intended to be merely exemplary, and that certain features and components have been omitted and various other features and components may be added to facilitate performance, in accordance with the disclosed embodiments.

[0028] Although primarily described as being directly managed by the AI ​​entity management system 16, it should be noted that in other embodiments, the guest-specific AI entities 36 may represent portable and / or evolving code (e.g., snippets of portable and / or evolving code) that can be dynamically injected into the programming of the amusement park features 12 (e.g., via edge computing or as chips that can be plugged into the AI ​​entity management system 16). In other words, in certain embodiments, the guest-specific AI entities 36 may be developed and / or managed at least partially separately from the AI ​​entity management system 16. For example, in certain embodiments, the guest-specific AI entities 36 may not reside within the AI ​​entity management system 16. Rather, in such embodiments, the physical interactions caused by the AI ​​entity management system 16 in the physical environment of the amusement park 10 may be managed by the AI ​​entity management system 16, but the actual guest-specific AI entities 36 may not be managed by the AI ​​entity management system 16.

[0029] Additionally, while the present specification primarily describes guest-specific AI entities 36 as being directly related to guests 50 and manifesting based on the activities of those particular guests, in certain embodiments, the guest-specific AI entities 36 may in some embodiments be associated with other guests related to the particular guest. For example, in certain embodiments, the guest-specific AI entities 36 may be associated with a parent (e.g., a child of a parent) of a particular guest 50 and configured by the parent to manage and interact with the particular guest 50 as he or she moves through the amusement park 10. In this manner, in certain embodiments, the guest-specific AI entities 36 may function as a digitally implemented monitoring system (e.g., a daycare system) for children visiting the amusement park 10. In particular, a parent may configure the guest-specific AI entities 36 to function in a particular way with respect to guiding their child (e.g., with respect to a particular theme of the amusement park 10), but the AI ​​entity management system 16 may change the configuration of the guest-specific AI entities 36. Additionally, in particular embodiments, the AI ​​entity management system 16 may aggregate multiple guest-specific AI entities 36 into an aggregate AI entity, which may represent, for example, a particular mix of personality traits that are of interest to a particular group of guests 50.

[0030] 2, in certain embodiments, the AI ​​entity management system 16 can include an input device 42, a processor 44, a memory 46, and a communicator 48. In certain embodiments, the input device 42 can receive input data from a sensor 18. Based on the input data received at the input device 42, the AI ​​entity management system 16 can manage the guest-specific AI entity 36, for example, by modifying the artificial personality of the guest-specific AI entity 36, instructing various amusement park features 12 to manifest the presence of the guest-specific AI entity 36, etc. In particular, in the amusement park setting described herein (and illustrated in FIG. 1), the AI ​​entity management system 16 can control (e.g., command the output of) amusement park features 12, such as displays 12, 12A, lighting effects systems 12, 12B, animated figures 12, 12C, and / or sound effects systems 12, 12D. 1, the amusement park 10 may include attractions 14, including, for example, a tunnel ride attraction 14, 14A, a virtual game room attraction 14, 14B, a restaurant attraction 14, 14C, a roller coaster attraction 14, 14D, and a water attraction 14, 14E, among other attractions, which may include one or more of the amusement park features 12 throughout the amusement park 10. As an example, the tunnel ride attraction 14, 14A may include a lighting effects system 12, 12B, one or more animated figures 12, 12C, and / or a sound effects system 12, 12D, and the walkways of the amusement park 10 may include one or more animated figures 12, 12C, and one or more displays 12, 12A. Additionally, in certain embodiments, the amusement park 10 may be divided into multiple zones organized by theme and / or age group. As an example, zones of the amusement park 10 organized by a particular theme may include a heavier focus or revolve around a particular subject related to the particular theme.

[0031] As described in more detail herein, the AI ​​entity management system 16 can control (e.g., command) the amusement park feature 12 to provide customized interactions for the guest 50. As one example, the AI ​​entity management system 16 can control (e.g., command) the speakers of the sound effects system 12, 12D on the tunnel ride attraction 14, 14A to generate audio associated with a guest-specific AI entity 36 associated with a particular guest 50. For example, the audio can include a recognizable unique sound (e.g., music (e.g., song), a particular tone, a pattern of noise) associated with the particular AI entity 36 and / or the guest's name. The customized audio can be based on guest data acquired by the sensors 18 described herein. As another example, the AI ​​entity management system 16 can control (e.g., command) the lighting effects system 12, 12B to project a particular animation during the ride (e.g., on the walls of the ride tunnel) based on the guest data. For example, the AI ​​entity management system 16 may obtain guest data from the sensors 18 indicative of a particular guest's fears and use this guest data to modify animations projected by the lighting effects systems 12, 12B (e.g., if a particular guest 50 is afraid of spiders and the associated AI entity 36 is associated in some way with spiders, project an image of a spider). The AI ​​entity management system 16 may obtain guest data from the sensors 18 indicative of a particular guest's likes and use this guest data to modify animations projected by the lighting effects systems 12, 12B (e.g., if a particular guest 50 likes puppies and the associated AI entity 36 is associated in some way with puppies, project an image of a puppy). In this manner, the AI ​​entity management system 16 may control (e.g., direct), modify and / or customize park interactions to provide a customized experience based on the guest data.Specifically, as described in more detail herein, a guest's presence on or near a particular amusement feature 12 can trigger the AI ​​entity management system 16 to command (e.g., activate, deactivate, customize) the amusement feature 12 based on guest data. In certain embodiments, the AI ​​entity management system 16 can also determine the presence (e.g., identification, location, movement, etc.) of a particular guest 50 using data obtained by one or more sensors 18 described herein (e.g., indicating the identity of a particular guest 50, indicating the location of a particular guest 50, indicating the movement of a particular guest 50). It will be appreciated that the lighting effects system 12, 12B can include any number of different types of systems configured to generate light for purposes of displaying (e.g., via one or more displays (e.g., liquid crystal (LCD) displays, light emitting diode (LED) displays, organic light emitting diode (OLED) displays)), projecting (e.g., via one or more projectors), or otherwise presenting the generated light to a guest 50.

[0032] As discussed above with respect to FIG. 1, the sensors 18 may include one or more proximity sensors 18, 18A, one or more cameras 18, 18B, one or more readable IDs 19, one or more electronic readers 18, 18C, one or more force sensors (e.g., weight sensors) 18, 18D, and / or one or more sound sensors 18, 18E. Some of the sensors 18 may be placed or positioned in areas where a guest is expected to be present, such as on the ride vehicle 20 or on the ride track 22. In certain embodiments, the readable ID 19 may communicate with the electronic reader 18, 18C to indicate the presence of a particular guest 50. For example, in certain embodiments, the readable ID 19, 19B may be incorporated on the ride, such as on the ride track 22 or the ride vehicle 20 of the ride (e.g., on the interior, side, or entrance of the ride vehicle 20). Additionally, the electronic reader 18, 18C may be positioned in a manner that allows for scanning of the readable ID 19. As an example, the electronic readers 18, 18C can be positioned on the ride track 22 such that as the ride vehicle 20 passes over the electronic readers 18, 18C, a readable ID 19, 19B on the ride vehicle 20 can be scanned to indicate that a particular guest 50 is on the ride. In a particular embodiment, the readable ID 19 can include a guest-wearable readable ID 19, 19A associated with a particular user ID 52. Thus, data from the electronic readers 18, 18C can indicate the presence of a particular guest 50 associated with a particular user ID 52 upon scanning the guest-wearable readable ID 19, 19A associated with the particular guest 50. The AI ​​entity management system 16 can then retrieve the data for the particular guest 50 based on the user ID 52 and instruct the amusement park feature 12 accordingly, as described in more detail herein.

[0033] As described in more detail herein, the amusement park 10 may also track guest activity within the park, such as ride history, interactions, etc. As an example, tracked park activity (e.g., tracked via a guest-worn readable ID 19, 19A) may indicate that a particular guest 50 stayed in a particular zone of the amusement park 10 for the majority of that guest's visit to the amusement park 10. Tracked park activity may also indicate that a particular guest 50 rode certain rides more frequently than other rides. Based on this guest data, the AI ​​entity management system 16 can determine the preferences of a particular guest 50 (e.g., most and / or least favorite zones at the amusement park 10, most and / or least favorite rides at the amusement park 10, most and / or least favorite intellectual property used at the amusement park 10) and use these preferences to modify the artificial personality of a guest-specific AI entity 36 associated with the particular guest 50, as described in more detail herein.

[0034] In certain embodiments, one or more cameras 18, 18B may be positioned or located in areas based on where a guest is expected to be present, such as to view a ride vehicle 20 during a ride. In such embodiments, data captured by the cameras 18, 18B (e.g., images, video) may be used to determine the presence of a particular guest 50. Specifically, data captured by the cameras 18, 18B may be used (e.g., by a computing device, by a controller, by a processor) to determine the presence of a particular guest 50 by facial recognition and / or body recognition. In certain embodiments, the cameras 18, 18B may provide the images and / or video as input data to the AI ​​entity management system 16, which may then perform facial recognition and / or body recognition. In certain embodiments, the cameras 18, 18B (e.g., one or more cameras with a processor, one or more cameras with a controller with a processor) and / or the AI ​​entity management system 16 may match the images and / or video to previously stored images of a particular guest 50. In certain embodiments, previously stored images of a particular guest 50 may be stored in memory 46 of the AI ​​entity management system 16, associated with the user ID 52 of the particular guest 50, and / or made searchable via a third party application 54 (e.g., a guest image (e.g., a profile picture) on a social media application).

[0035] Similarly, in certain embodiments, one or more sound sensors (e.g., microphones) 18, 18E may be placed or positioned in areas based on where a guest is expected to be present, such as viewing while riding the ride vehicle 20. In such embodiments, data captured by the sound sensors 18, 18E (e.g., sound, vibration, etc.) may be used to determine the presence of a particular guest 50. Specifically, data captured by the sound sensors 18, 18E may be used (e.g., by a computing device, by a controller, by a processor) to determine the presence of a particular guest 50 through sound input and voice recognition. In certain embodiments, the sound sensors 18, 18E may provide audio samples as input data to the AI ​​entity management system 16, which may then perform the sound input and voice recognition. In certain embodiments, the sound sensors 18, 18E (e.g., one or more sound sensors with a processor, one or more sound sensors with a controller with a processor) and / or the AI ​​entity management system 16 may match the audio samples to previously stored audio samples of a particular guest 50. In certain embodiments, previously stored voice samples of a particular guest 50 may be stored in memory 46 of the AI ​​entity management system 16, associated with the user ID 52 of the particular guest 50, and / or made searchable via a third party application 54.

[0036] Additionally or alternatively, in certain embodiments, a force (e.g., weight) sensor 18, 18D can indicate the presence of a guest 50. For example, a force (e.g., weight) sensor 18, 18D can be mounted on the ride track 22 and indicate the presence of a ride vehicle 20 on the ride track 22 based on a predetermined force (e.g., a predetermined weight (e.g., weight of the ride vehicle 20, percentage of the weight of the ride vehicle 20)). Similarly, in certain embodiments, one or more proximity sensors 18, 18A can be placed or positioned proximate to an area where a guest is expected to be present. The proximity sensors 18, 18A can detect and / or determine the presence of a proximate guest 50 and / or associated object 51 without physical contact using electromagnetic fields, light (e.g., visible light, non-visible light), and / or sound, such as capacitive sensors, laser sensors and emitter systems, light detection and ranging systems, vibration (e.g., sound) proximity sensors (e.g., ultrasonic proximity sensors).

[0037] In certain embodiments, one or more proximity sensors (e.g., a proximity sensor system with an emitter) 18, 18A and / or an emitter associated with the proximity sensor (e.g., an electromagnetic field emitter communicatively coupled to the proximity sensor) can emit an electromagnetic field or a beam of electromagnetic radiation (e.g., infrared radiation). In certain embodiments, the proximity sensor 18, 18A (e.g., a proximity sensor with an emitter (e.g., an electromagnetic radiation emitter), a proximity sensor without an emitter (e.g., a proximity sensor communicatively coupled to an emitter (e.g., an emitter external to the proximity sensor)) can detect and / or measure an electromagnetic field. In certain embodiments, the proximity sensor 18, 18A can detect and / or measure a return signal. In certain embodiments, the proximity sensor 18, 18A may comprise a computing device, controller, and / or processor. In certain embodiments, the proximity sensor 18, 18A may detect and / or determine changes in the field and / or signal (e.g., the proximity sensor may detect and / or determine changes in the emitted electromagnetic field and / or beam of electromagnetic radiation (e.g., the proximity sensor may comprise a computing device, controller, and / or processor and use the computing device, controller, and / or processor to determine changes in the emitted electromagnetic field and / or beam of electromagnetic radiation).

[0038] In certain embodiments, one or more of the proximity sensors 18, 18A can communicate proximity sensor data (e.g., detected and / or measured electromagnetic fields and / or beams of electromagnetic radiation) to an off-board (e.g., external) computing device, controller, and / or processor, which can use the proximity sensor data to determine changes in the emitted electromagnetic fields and / or beams of electromagnetic radiation (e.g., the proximity sensors can be communicatively coupled to the AI ​​entity management system 16 and / or a separate control system (e.g., controller, processor) that can determine changes in the emitted electromagnetic fields and / or beams of electromagnetic radiation). In certain embodiments, one or more of the proximity sensors 18, 18A and / or a system that is off-board of the one or more proximity sensors and communicatively coupled to the one or more proximity sensors (e.g., AI entity management system 16, computing device, controller, processor) can use the proximity sensor data to determine the presence and / or proximity (e.g., location (e.g., distance from one or more of the proximity sensors)) of the guest 50 and / or associated objects 51.

[0039] Additionally, in certain embodiments, data from the proximity sensors 18, 18A can also be used to determine the location of the guest 50 (e.g., using data from multiple proximity sensors (e.g., one or more proximity sensors)) relative to a known location (e.g., the location of the amusement feature 12, the location of the amusement attraction 14, a particular portion of the amusement attraction 14 (e.g., the entrance)). For example, three proximity sensors can be utilized to determine the location of the guest at a given moment. Additionally, in certain embodiments, the location of the guest 50 at a given moment can be compared to a known location (e.g., of the amusement feature 12, of the attraction 14, of a particular portion of the attraction 14 (e.g., the entrance)). The difference in location can be determined to be the distance between the guest 50 and the known location. The distance between the guest and the location of the amusement feature 12 can be used to determine if the guest 50 is within a threshold range 24 of the amusement feature 12. For example, a guest 50 may be determined to be within the threshold range of a park feature 12 if the distance between the guest and the location of the park feature 12 is less than or equal to the threshold range 24 of the park feature 12. The AI ​​entity management system 16 and / or a separate control system (e.g., controller, processor) communicatively coupled to the AI ​​entity management system 16 may make this determination. Additionally, data from one of the proximity sensors 18, 18A may be used to determine whether the guest 50 is within the threshold range of a park feature 12. For example, data from one of the proximity sensors 18, 18A may be used to determine the distance between the guest 50 and its proximity sensor 18, 18A. In certain embodiments, this distance may be used in conjunction with the field of view of the proximity sensor 18, 18A to determine a location range that defines all possible locations of the guest 50 relative to the proximity sensor 18, 18A. The location within the location range may be compared to the location of the amusement park feature 12. A guest 50 may be determined to be within threshold range 24 of a park feature 12 if the distance between all locations within the location range and the park feature 12 is within threshold range 24 of the park feature 12. Similar methods may be used.For example, if all points within the detection range and field of view of the proximity sensor 18, 18A are within the threshold range 24 of the park feature 12, then the guest 50 detected by the proximity sensor 18, 18A is within the threshold range 24 of the park feature 12. Similar methods can be used to determine whether the guest 50 is within a threshold distance or range of a park attraction 14 or a particular location of the park attraction 14. Additionally, in certain embodiments, the techniques described herein for determining the location of a guest 50 using the proximity sensor 18, 18A can be extended to using these techniques to determine the location of a particular location (e.g., ride vehicle 20, etc.) and then similarly determining the location of the guest 50 relative to the particular location. To accurately detect and / or determine the presence of a nearby guest 50 and / or associated object 51, the proximity sensor 18, 18A can be located near the boarding location of the ride vehicle 20 and / or on the ride vehicle seat. In certain embodiments, the readable ID 19 and / or the camera 18, 18B may be used alone or in combination with other sensors 18 (e.g., force (e.g., weight) sensors 18, 18D and / or proximity sensors 18, 18A) to detect and / or determine the presence of a particular guest 50 and / or to identify a particular guest 50.

[0040] Additionally or alternatively, in certain embodiments, the third-party application 54 can provide input data to the AI ​​entity management system 16. That is, the third-party application 54 can enable data sharing (e.g., with guest permission) with the AI ​​entity management system 16. The third-party application 54 can include systems related to third parties, and this can include entities that do not have a direct relationship with the amusement park 10. The third-party application 54 can provide third-party data from one or more third parties collected through their websites, mobile applications, and / or other platforms. The third-party application 54 can include, but is not limited to, social media applications, medical applications, and / or banking applications. Thus, the third-party data from the third-party application 54 can include data related to social media applications, medical applications, and / or banking applications.

[0041] In certain embodiments, the guest's mobile device 34 can provide input data to the AI ​​entity management system 16. For example, in certain embodiments, the guest's mobile device 34 can include one or more sensors 18 that activate the collection of data related to the guest's 50 activities within the physical environment of the amusement park 10, as described in more detail herein. Additionally, in certain embodiments, the associated guest's mobile device 34 can enable device data to be shared with the AI ​​entity management system 16 (e.g., responsive to permission received from the guest 50, the associated guest's mobile device 34 can enable device data to be shared with the AI ​​entity management system 16). The device data can include, but is not limited to, images and / or videos stored on or accessible on the guest's mobile device 34, the GPS location of the guest's mobile device 34, tracking data determined by the guest's mobile device 34 (e.g., steps taken per day, average screen time, historical GPS data, etc.), and / or setting preferences (e.g., larger text, color themes, special accessibility features enabled, etc.).

[0042] As discussed above with respect to FIG. 1, in certain embodiments, the guest-specific AI entity system 32 may include a monitoring system 28 and / or a service desk 30. In the following discussion, the monitoring system 28 and the service desk 30 are described as separate components of the guest-specific AI entity system 32, although these components may be in communication with each other (e.g., as indicated by dashed lines) or may be integrated into a single system (e.g., where the service desk 30 is part of the monitoring system 28). The monitoring system 28 may be a management system that monitors the sensors 18 and the amusement features 12. For example, the monitoring system 28 may monitor control signals for modifying the amusement features 12 sent from the AI ​​entity management system 16 in response to the presence and identification of a particular guest 50, as described in more detail herein. In particular, the monitoring system 28 may ensure that the sensors 18 and the amusement features 12 function as expected and / or provide customized interactions via the guest-specific AI entities 36 as expected for the particular guest 50.

[0043] Additionally, in certain embodiments, monitoring system 28 can control (e.g., command) and / or reconfigure AI entity management system 16 if AI entity management system 16 is not functioning as expected (e.g., generating erroneous control signals). For example, monitoring system 28 can reset or recalibrate sensors 18 and / or amusement features 12 and / or override control signals for amusement features 12 (e.g., as originally determined and / or commanded by AI entity management system 16). In certain embodiments, monitoring system 28 and AI entity management system 16 can be implemented as a single controller.

[0044] In certain embodiments, the service desk 30, which may include human and / or virtual service agents, can stop (e.g., manually) activation (e.g., instructions, continuous functions) via a stop system (e.g., mechanisms (e.g., buttons, levers, dials, switches), keyboard input, touch screen input, control pad input, instructions (e.g., code instructions, (e.g., stored in a memory (e.g., memory 46))) and can override control signals from the AI ​​entity management system 16 if the service desk 30 finds any problems with the guest-specific AI entities 36 beyond those determined by the AI ​​entity management system 16. Having the ability to track guests 50 as described herein (e.g., via guest-readable IDs 19, 19A) the service desk 30 can monitor the activities of guests 50 and use this information to address unexpected delays or unexpected functionality at the amusement park 10. As an example, the ride track may indicate that guest 50 attempted to ride a particular roller coaster but was stationary or nearly stationary in the roller coaster zone for a particular duration exceeding a threshold duration, indicating unexpected delays or queues and / or unexpected performance by the roller coaster. In certain embodiments, monitoring system 28 and / or AI entity management system 16 may send an alert to service desk 30 and / or instruct service desk 30 to resolve such issues based on the detected and / or determined unexpected activity, data indicative of unexpected activity, and / or data determined to be indicative of unexpected activity.

[0045] The communications circuitry 48 of the AI ​​entity management system 16 may enable the AI ​​entity management system 16 to interface with various electronic devices, such as the monitoring system 28, the service desk 30, the amusement park features 12, and / or guest mobile devices 34. For example, in certain embodiments, the monitoring system 28 and / or the service desk 30 may communicate with the AI ​​entity management system 16 to receive and / or transmit information (indicated by double-headed arrows) to verify that the AI ​​entity management system 16 and / or the amusement park features 12 are operating as expected. Additionally or alternatively, in certain embodiments, the communications circuitry 48 may enable the AI ​​entity management system 16 to interface with components of the amusement park features 12. For example, the communications circuitry 48 may enable the AI ​​entity management system 16 to communicatively couple to a network, such as a personal area network (PAN), a local area network (LAN), and / or a wide area network (WAN). In certain embodiments, communications circuitry 48 may be separate (e.g., physically separate) from AI entity management system 16 but communicatively coupled to AI entity management system 16.

[0046] In particular embodiments, the AI ​​entity management system 16 may process data received from the sensors 18 via the input devices 42, determine and identify the presence of a particular guest 50, determine and / or analyze guest data associated with the particular guest 50 (e.g., data associated with the respective user ID 52), determine modifications to the guest-specific AI entity 36 (e.g., modifications to the personality of the guest-specific AI entity 36, among other modifications), and communicate via the communications circuitry 48 instructions to implement modifications to interactions via the particular amusement features 12 (e.g., via, for example, simulating the presence of the guest-specific AI entity 36, presenting story-related aspects, etc.) to facilitate a customized experience for the guest 50 (e.g., via, for example, simulating the presence of the guest-specific AI entity 36, presenting story-related aspects, etc.). For example, after processing (e.g., analyzing) sensor data received via input device 42, processor 44 of AI entity management system 16 may determine instructions (e.g., control signals, control data) that command and / or enable communications circuitry 48 to wirelessly transmit instructions (e.g., control signals, control data) to amusement features 12 to command and / or enable actuation of modifications to interactions via amusement features 12. In certain embodiments, amusement features 12 may include separate communications circuitry (e.g., transmitter, receiver, transceiver) to enable communication with communications circuitry 48. In other embodiments, communications circuitry 48 may be connected to amusement features 12 via a wired connection.

[0047] For example, as described in more detail herein, the detected activity of guest 50 may relate to movements of guest 50 (e.g., including physical gestures) within the physical environment of amusement park 10, interactions of guest 50 with particular attractions 14 of amusement park 10, etc. However, in other embodiments, the detected activity of guest 50 may relate to activity that does not occur within amusement park 10. For example, in certain embodiments, guest 50 may be located remotely with respect to amusement park 10, yet still be considered a (e.g., remote) guest of amusement park 10. Some non-limiting examples include guests 50 interacting with the amusement park 10 from home through a remote application (e.g., running on a guest mobile device 34 associated with one or more guests 50 or on other devices such as a set-top box installed at a particular location to allow remote access to the amusement park 10), and guests 50 interacting with the amusement park 10 at other locations remote to the amusement park 10 (e.g., a hotel room, etc.) through a remote application (e.g., running on a guest mobile device 34 associated with one or more guests 50 or on other devices such as a set-top box installed at a particular location to allow remote access to the amusement park 10). Additionally, in other embodiments, the detected guest 50 activity can relate to the guest 50's interaction with a digital environment associated with the amusement park 10. In this manner, certain guest experiences may occur within the amusement park 10, while other guest experiences may occur remotely from the amusement park 10. A non-limiting list of examples may include virtual reality, augmented reality, traditional living room experiences with audio / video, application experiences, living room lighting experiences available only when tuned into the amusement park 10, hotel experiences as an extension of the view outside the window, park location-based extensions outside the amusement park 10 including pop-up, permanent, and mobile (e.g., bus, boat, car) modes.

[0048] Additionally, as described in more detail herein, the analysis of data indicative of guest 50 activity performed by the AI ​​entity management system 16 may include tracking guest 50 interactions with various attractions 14 and / or amusement features 12 of the amusement park 10, recognizing particular types of activity (e.g., particular identifiable types of movements, e.g., gestures such as hand movements, leg movements, head movements, full body movements, vocal inflections, and other perceptible movements), adjusting the context of the recognized type of activity (e.g., a particular hand movement may have different meanings with respect to different attractions 14 and / or amusement features 12), determining whether the data indicative of guest 50 activity is also relevant to a particular application, and / or the like.

[0049] The processor 44 of the AI ​​entity management system 16 may include one or more processing devices that receive input signals from the input devices 42 related to the presence and / or identity of the guest 50, which may then be used to determine, using techniques described herein, alterations to interactions via particular amusement park features 12 (e.g., activating, deactivating, customizing, and / or modifying functionality of the amusement park features 12) to facilitate a customized experience for the guest 50 (e.g., via simulating the presence of the guest-specific AI entity 36, presenting aspects related to the story, etc.). The memory 46 of the AI ​​entity management system 16 may include one or more tangible, non-transitory machine-readable media. By way of example, such machine-readable media may include RAM, ROM, EPROM, EEPROM, or optical disk storage, magnetic disk storage, or other magnetic storage, or any other medium that may be used to carry or store desired algorithms (e.g., program code) in the form of machine-readable instructions or data structures and that may be accessed by the processor 44 of the AI ​​entity management system 16 or other processor-based device. The processor 44 of the AI ​​entity management system 16 may include a processing core for executing machine-executable instruction algorithms stored in the memory 46 of the AI ​​entity management system 16. The processor 44 of the AI ​​entity management system 16 may also include a processor-side interface for software applications executing on the processing core to interact with hardware components, such as the amusement park features 12 described herein. In certain embodiments, the memory 46 of the AI ​​entity management system 16 may store guest data corresponding to tracked guest activities and park activities corresponding to guest 50 preferences (e.g., determined by manual input from the guest 50 and / or by processing of algorithms executed by the processor 44 of the AI ​​entity management system 16).In certain embodiments, memory 46 of AI entity management system 16 may tag (e.g., append) the guest data with a corresponding user ID 52 before storing it for subsequent retrieval. That is, in certain embodiments, AI entity management system 16 may retrieve data associated with guest 50 by retrieving ID 52 and using the associated guest data.

[0050] By way of example, in the amusement park setting described herein (and illustrated in FIG. 1 ), the stored algorithms may, without limitation, determine the presence of a guest and identify a particular guest 50 based on sensor data from sensors 18 (e.g., processing sensor data from cameras 18, 18B to perform facial recognition, processing sensor data from sound sensors (e.g., microphones) 18, 18E to perform sound input and voice recognition, and / or processing sensor data from a readable ID 19, 19A associated with a user ID 52 of a guest 50). , by processing the guest ID 52, look up guest data for the user ID 52, determine modifications to interactions within the amusement park 10 (e.g., activating, deactivating, customizing, and / or modifying functionality (e.g., output) of the amusement park features 12) based on the guest data, and provide modified images, sounds, lighting effects, actuation, or animation instructions (e.g., stored in memory 46) based on the guest data (e.g., indicating preferences or guest information that modify one or more guest-specific AI entities 36 associated with the guest 50). In this manner, the AI ​​entity management system 16 can determine the presence of a particular guest 50 and control (e.g., command) the amusement park feature 12 accordingly, for example, when the particular guest 50 is within a predetermined range of the amusement park feature 12 and / or when it is determined that the guest 50 is facing towards the amusement park feature 12.

[0051] Additionally, in certain embodiments, the AI ​​entity management system 16 may enable guest-specific AI entities 36 to exist in a digital environment separate from the physical environment of the amusement park 10 (e.g., but perhaps corresponding (e.g., directly, indirectly)) and to take digital actions within the digital environment based on the identity, details, personality traits, mood, preferences, etc. of the particular guest-specific AI entity 36, which are determined by the AI ​​entity management system 16 based on data collected regarding the activities of each guest 50 at the amusement park 10. Additionally, in such embodiments, the location and / or actions of the guest-specific AI entity 36 within the digital environment may be separate from the location and / or actions of each guest 50 within the amusement park 10 and may serve as a trigger source for physical interactions to be caused in the physical environment of the amusement park 10, as described in more detail herein.

[0052] Thus, as described in more detail herein, the guest-specific AI entity system 32 shown in FIG. 2 is configured to manage guest-specific AI entities 36 associated with particular guests 50 of the amusement park 10 shown in FIG. 1. FIG. 3 is a flow diagram of a method 56 for operating the guest-specific AI entity system 32 of FIG. 2. As shown, in certain embodiments, the method 56 includes detecting activity of one or more guests 50 of the amusement park 10 via one or more guest activity detection devices (e.g., sensors 18 described herein) (block 58). Additionally, in certain embodiments, the method 56 includes transmitting (e.g., via one or more guest activity detection devices, communication circuitry external to the guest activity detection devices (e.g., external communication circuitry communicatively coupled to the guest activity detection devices)) data indicative of the detected activity of the one or more guests 50 to the AI ​​entity management system 16, e.g., for analysis (block 60).

[0053] As described in more detail herein, in certain embodiments, the detected activity of one or more guests 50 may relate to movements (e.g., including physical gestures) of one or more guests 50 within the physical environment of the amusement park 10, interactions of one or more guests 50 with particular attractions 14 of the amusement park 10, etc. However, in other embodiments, the detected activity of one or more guests 50 may relate to activity that does not occur within the amusement park 10. For example, in certain embodiments, one or more guests 50 may be located remotely with respect to the amusement park 10, yet still be considered (e.g., remote) guests of the amusement park 10. Some non-limiting examples include one or more guests 50 interacting with the amusement park 10 from home through a remote application (e.g., running on a guest mobile device 34 associated with the one or more guests 50 or on another device, such as a set-top box, installed at a particular location to enable remote access to the amusement park 10), and one or more guests 50 interacting with the amusement park 10 at another location remote to the amusement park 10 (e.g., a hotel room, etc.) through a remote application (e.g., running on a guest mobile device 34 associated with the one or more guests 50 or on another device, such as a set-top box, installed at a particular location to enable remote access to the amusement park 10), etc. Additionally, in other embodiments, the detected activity of one or more guests 50 can relate to an interaction of the one or more guests 50 with a digital environment associated with the amusement park 10.

[0054] Additionally, in certain embodiments, the method 56 includes analyzing, via the AI ​​entity management system 16, data indicative of one or more guest 50 activities (block 62). For example, as described in more detail herein, analyzing the data indicative of one or more guest 50 activities may include tracking interactions of one or more guests 50 with various attractions 14 and / or amusement features 12 of the amusement park 10, recognizing certain types of activities (e.g., certain identifiable types of movements, e.g., gestures such as hand movements, leg movements, head movements, full body movements, voice inflections, and other perceptible movements), adjusting the context of the recognized type of activity (e.g., a particular hand movement may have different connotations with respect to different attractions 14 and / or amusement features 12), determining whether the data indicative of one or more guest 50 activities is relevant to a particular application, and / or the like.

[0055] Additionally, in certain embodiments, the method 56 also includes modifying, via the AI ​​entity management system 16, one or more characteristics of the one or more guest-specific AI entities 36 for each guest 50 of the one or more guests 50 based at least in part on the analyzed data indicative of the guest 50's activities of each of the one or more guests 50 (block 64). For example, as described in more detail herein, the one or more characteristics of the one or more guest-specific AI entities 36 may include the identity, character details, personality traits, mood, preferences, etc. of the one or more guest-specific AI entities 36; the location of the one or more guest-specific AI entities 36 within the digital environment associated with the amusement park 10; actions taken by the one or more guest-specific AI entities 36 in the physical environment of the amusement park 10 (e.g., via one or more amusement park features 12); actions taken by the one or more guest-specific AI entities 36 in the digital environment associated with the amusement park 10, etc.

[0056] Additionally, in certain embodiments, the method 56 further includes instructing, via the one or more AI entities 36, one or more amusement park features 12 located within the physical environment of the amusement park 10 to modify the guest experience for the one or more guests 50 according to one or more characteristics of the one or more guest-specific AI entities 36 (block 66). For example, as described in more detail herein, the one or more guest-specific AI entities 36 may instruct the one or more amusement park features 12 to present particular images and / or video (including, for example, augmented reality and virtual reality images and / or video), lighting effects, animated figure movements, sounds, and the like to depict particular story elements, among other things.

[0057] As described in more detail herein, in certain embodiments, the one or more guest activity detection devices used to collect data used to analyze the activities of one or more guests 50 may include one or more proximity sensors 18, 18A configured to detect and / or determine the presence of one or more guests 50 at locations within the physical environment of the amusement park 10. Additionally, in certain embodiments, the one or more guest activity detection devices used to collect data used to analyze the activities of the one or more guests 50 may include one or more cameras 18, 18B configured to detect and / or determine the presence of a guest 50 and / or detect data indicative of the presence of the one or more guests 50 at a location within the physical environment of the amusement park 10, determine the identity of the one or more guests 50 (e.g., based on the detected and / or determined presence of the guest 50 and / or the data indicative of the detected and / or determined presence of the guest 50), transmit the data indicative of the presence of the guest 50 to an AI entity management system 16 and / or other control system (e.g., a processor) that can use the data indicative of the presence of the guest 50 to determine the presence and / or identity of the one or more guests 50, or combinations thereof. Additionally, in certain embodiments, the one or more guest activity detection devices used to collect data used to analyze the activities of one or more guests 50 may include one or more electronic readers 18, 18C configured to detect and / or determine the presence of one or more readable IDs 19, 19A associated with one or more guests 50 at locations within the physical environment of the amusement park 10. As described in more detail herein, in certain embodiments, the one or more readable IDs 19, 19A may be integrated into a wearable device configured to be associated with (e.g., worn by) one or more guests 50.Additionally, in certain embodiments, the one or more guest activity detection devices used to collect data used to analyze the activities of the one or more guests 50 may include a force sensor (e.g., weight sensor) 18, 18D configured to detect and / or determine a presence of a guest 50 and / or data indicative of the presence of a guest 50 of the one or more guests 50 at a location within the physical environment of the amusement park 10, use the data indicative of the presence of a guest 50 to determine a presence, transmit the data indicative of the presence of a guest 50 to an AI entity management system 16 and / or other control system (e.g., controller, processor) that can determine the presence of a guest 50 of the one or more guests 50, or combinations thereof. Additionally, in certain embodiments, the one or more guest activity detection devices used to collect data used to analyze the activities of the one or more guests 50 may include one or more sound sensors (e.g., microphones) 18, 18E configured to detect a sound produced by a guest 50 of the one or more guests 50, and to enable the AI ​​entity management system 16 and / or other control system to use the data indicative of the presence of the guest 50 to determine the presence of the guest 50, transmit data indicative of the presence of the guest 50 to the AI ​​entity management system 16 and / or other control system (e.g., controller, processor) that can determine the presence of the guest 50 of the one or more guests 50, or combinations thereof.

[0058] Additionally, in certain embodiments, one or more amusement park features 12 that may be commanded by the AI ​​entity management system 16 may include one or more displays 12, 12A configured to display a guest-specific AI entity 36 of one or more guest-specific AI entities 36. Additionally, in certain embodiments, one or more amusement park features 12 that may be activated by the AI ​​entity management system 16 may include a lighting effects system 12, 12B configured to generate light associated with a guest-specific AI entity 36 of one or more guest-specific AI entities 36. Additionally, in certain embodiments, one or more amusement park features 12 that may be activated by the AI ​​entity management system 16 may include one or more animated figures 12, 12C configured to simulate the presence of a guest-specific AI entity 36 of one or more guest-specific AI entities 36 (e.g., via actuation, audio, video lighting, other effects). Additionally, in certain embodiments, one or more amusement park features 12 that may be activated by the AI ​​entity management system 16 may include a sound effects system 12, 12D configured to generate sounds associated with one of the one or more guest-specific AI entities 36.

[0059] In addition, as described in more detail herein, in certain embodiments, the AI ​​entity management system 16 can be configured to instruct one or more park features 12 located within the physical environment of the park 10 to simulate the activities of one or more guest-specific AI entities 36 in a digital environment separate from (e.g., but possibly corresponding to) the physical environment of the park 10 and to simulate the presence of the one or more guest-specific AI entities 36 in the physical environment of the park 10. FIG. 4 is a flow diagram of a method 68 for operating the guest-specific AI entity system 32 of FIG. 2. As shown, in certain embodiments, the method 68 includes maintaining (e.g., storing in memory, instructing updates, instructing customizations) one or more guest-specific AI entities 36 associated with one or more guests 50 of the park 10 via the AI ​​entity management system 16 (block 70).

[0060] Further, in certain embodiments, method 68 includes simulating the location and / or movement of guest-specific AI entity 36 within the digital environment via AI entity management system 16 (block 72). For example, AI entity management system 16 or a separate control system (e.g., controller, processor) may simulate and / or direct the simulation of the digital environment (e.g., create and / or update virtual locations and / or features within the digital environment) to correspond to (e.g., mimic, represent, resemble or create output that appears similar to) locations and / or features within a physical environment (e.g., the physical environment of amusement park 10). The AI ​​entity management system 16 or a separate control system (e.g., controller, processor) may simulate the activities of the guest-specific AI entity 36 within the digital environment (e.g., moving within the digital environment separately from the movements of an associated guest within the physical environment of the amusement park 10, instructing the guest-specific AI entity 36 to act as a trigger source for actions that correspond to the location of the guest-specific AI entity 36 within the physical environment of the amusement park 10 and / or the actions of the guest-specific AI entity 36 within the digital environment (e.g., corresponding to the physical environment of the amusement park 10), etc.).

[0061] Additionally, in certain embodiments, the method 68 also includes instructing, via the AI ​​entity management system 16, one or more park features 12 located within the physical environment of the park 10 to simulate the presence of the one or more guest-specific AI entities 36 within the physical environment of the park 10 according to the location and / or movement of the one or more guest-specific AI entities 36 within the digital environment (block 74). Additionally, in certain embodiments, the AI ​​entity management system 16 can simulate the location and / or movement of the one or more guest-specific AI entities 36 within the digital environment based at least in part on the activity of one or more guests 50 within the physical environment of the park 10 as detected and / or determined by one or more guest activity detection devices (e.g., sensors 18 described herein). Additionally, the guest-specific AI entities 36 can learn from the activities of the associated guests 50 and can interact with the digital environment in a manner that teaches the guest-specific AI entities 36 to believe that their activities match those of the associated guests. As one non-limiting example, Google Maps and other online mapping platforms can represent a version of a digital parallel world that corresponds directly to the real physical world. In a particular embodiment, a guest-specific AI entity 36 can roam Google Maps and have Global Positioning System (GPS) coordinates that correlate to the physical world. This GPS location of the guest-specific AI entity 36 can act as a trigger source for virtual sensors (e.g., sensors in the digital world) that may affect the physical world or initiate simulated interactions of the real world. Of course, the digital world is not constrained by the physical world, but can have representational constraints, parallel constraints, non-relational constraints (e.g., constraints that are not related to the physical world), partially represent real-world constraints, or attempt to be fully constrained by the physical world.

[0062] Additionally, in certain embodiments, a trigger source for instructing one or more amusement park features 12 located within the physical environment of the amusement park 10 to simulate the presence of one or more guest-specific AI entities 36 within the physical environment of the amusement park 10 may include one or more gestures (e.g., hand movements, leg movements, head movements, whole body movements, voice intonation, and other perceptible actions) performed by one or more guests 50 within the physical environment of the amusement park 10 or within the digital environment described above.

[0063] 5, in certain embodiments, the one or more characteristics of the one or more guest-specific AI entities 36 may include an identity 76 of the one or more guest-specific AI entities 36, one or more details 78 about the one or more guest-specific AI entities 36, one or more personality traits 80 of the one or more guest-specific AI entities 36, a mood 82 of the one or more guest-specific AI entities 36, one or more preferences 84 of the one or more guest-specific AI entities 36, or a combination thereof. For example, the identity 76 of a particular guest-specific AI entity 36 may be a particular relatively well-known themed character for a particular themed zone of the amusement park 10, for example. In certain embodiments, a guest 50 may select a particular character that they would like to follow them as a guest-specific AI entity 36 during their visit to the amusement park 10 and / or during their visit to a particular themed zone of the amusement park 10, or a particular character may be automatically selected by the AI ​​entity management system 16 to be a guest-specific AI entity 36 for a particular guest 50, for example, based on the guest's 50 track activity (e.g., the guest 50 has a particular affinity for a particular character, the guest 50 exhibits a fear of a particular character, etc.). It will be appreciated that a particular themed character may have details 78 (e.g., backstory details, hometown, faction alliances, friends, enemies, goals, motivations, etc.) that are specific to that thematic character. Additionally, a particular guest-specific AI entity 36, whether it is a particular relatively well-known themed character or a fully customized character, may have particular personality traits 80 such as happiness, sadness, humor, indifferent, brave, timid, passive, aggressive, belligerent, submissive, spiteful, kind, sarcastic, respectful, etc. Furthermore, a particular guest-specific AI entity 36 may have particular moods 82 that are substantially similar to personality traits 80 but are more temporary personality traits, as opposed to more permanent personality traits 80.Additionally, a particular guest-specific AI entity 36 may have particular preferences 84, such as preferred activities to participate in, preferred areas of the amusement park 10, or other thematic characters that the guest has affinities or aversions to.

[0064] In general, guest-specific AI entities 36 as described herein may learn certain characteristics over time based on the activities of associated guests 50 with respect to the amusement park 10 such that the guest-specific AI entities 36 evolve (e.g., change, are modified) over time. However, in certain embodiments, guests 50 may interact with the AI ​​entity management system 16 to stop further learning of a particular guest-specific AI entity 36, for example, to fix (e.g., prevent modification, partially prevent modification) a particularly fond guest-specific AI entity 36 having a particularly desirable set of characteristics. Additionally, in certain embodiments, guests 50 may interact with (e.g., instruct) the AI ​​entity management system 16 to save copies of such particular versions of guest-specific AI entities 36 so that they may be utilized during future visits to the amusement park 10 and, indeed, further trained.

[0065] 6 shows a non-limiting example of how guest-specific AI entities described herein may be manifested as a guest 50 moves through the amusement park 10. For example, FIG. 6 illustrates displays 12, 12A on which characters (e.g., clown 86, other characters) may be presented. As described in more detail herein, a particular guest-specific AI entity 36 may manifest itself by controlling (e.g., commanding, modifying) one or more aspects of the clown 86 presented via the displays 12, 12A when a guest 50 associated with the particular guest-specific AI entity 36 is detected and / or determined (e.g., via one or more proximity sensors 18, 18A and / or one or more cameras 18, 18B) to be moving relatively close (e.g., within a threshold range) to the displays 12, 12A based on characteristics of the particular guest-specific AI entity 36 (see, e.g., FIG. 5). The one or more aspects that the guest-specific AI entity 36 may control may include, but is not limited to, animation of the clown 86, dialogue of the clown 86, special visual and / or audio effects associated with the clown 86, etc. For example, if guest data for a particular guest indicates that the particular guest 50 has a fear of clowns, the AI ​​entity management system 16 may cause the clown 86 to speak in a relatively threatening manner in the general direction of the particular guest 50.

[0066] While only certain features of the invention have been illustrated and described herein, many modifications and changes will occur to those skilled in the art, and it is, therefore, to be understood that the appended claims are intended to cover all such modifications and changes which fall within the true spirit of the disclosure.

[0067] The techniques presented and claimed herein refer to and apply substantial objects and specific embodiments of a practical nature that clearly improve the technical field of the present invention, and are therefore not abstract, intangible, or theoretical in nature. Moreover, if any claim appended to the end of this specification contains one or more elements designated as "means for [performing] [function]" or "step for [performing] [function]," such elements shall be construed pursuant to 35 U.S.C. 112(f). However, for any claim containing elements designated in any other manner, such elements shall not be construed pursuant to 35 U.S.C. 112(f). [Explanation of symbols]

[0068] 12 Amusement Park Features 12A Display 12B Lighting Effects 12C Anime Figures 12D Sound Effects 16 AI Entity Management System 18 Amusement Park Sensor 18A Proximity Sensor 18B Camera 18C E-Reader 18D Force Sensor 18E Sound Sensor 19 Readable IDS 28 Surveillance Systems 30 Service Desk 34 Guest Mobile Devices 36 Guest-specific AI entities 42 Input Devices 44 processors 46 Memory 48 Communication Circuits 50 Visitor ID 51 Object 54 Third Party Applications

Claims

1. A system that utilizes an artificial intelligence entity unique to each visitor, One or more visitor activity detection devices configured to track the activities and locations of amusement park visitors and to transmit data indicating the tracked activities and locations of the amusement park visitors, An artificial intelligence entity management system configured to analyze the data indicating the activities and locations of visitors to the amusement park, and to modify one or more characteristics of visitor-specific artificial intelligence entities unique to visitors to the amusement park, based at least in part on the analyzed data indicating the tracked activities and locations of visitors to the amusement park, One or more amusement park features, which are located within the physical environment of the amusement park and are configured to be commanded by the visitor-specific artificial intelligence entities, which are specific to the visitors of the amusement park, to modify the visitor experience for the visitors of the amusement park, according to one or more characteristics of the visitor-specific artificial intelligence entities, which are specific to the visitors of the amusement park. A system equipped with these features.

2. The system according to claim 1, wherein the one or more visitor activity detection devices comprises one or more proximity sensors configured to detect the presence of visitors to the amusement park at locations within the physical environment of the amusement park.

3. The system according to claim 1, wherein the one or more visitor activity detection devices include one or more cameras configured to detect the presence of visitors to the amusement park at locations within the physical environment of the amusement park, and the artificial intelligence entity management system is configured to determine the identity of visitors to the amusement park.

4. The system according to claim 1, wherein the one or more visitor activity detection devices comprises one or more electronic readers configured to detect the presence of one or more readable identifiers related to visitors of the amusement park at locations within the physical environment of the amusement park.

5. The system according to claim 4, wherein the one or more readable identifiers are integrated into a wearable device configured to be associated with the visitors of the amusement park.

6. The system according to claim 1, wherein the one or more visitor activity detection devices include force sensors configured to detect the presence of visitors to the amusement park at locations within the physical environment of the amusement park.

7. The system according to claim 1, wherein the one or more visitor activity detection devices comprises one or more sound sensors configured to detect sounds generated by visitors to the amusement park.

8. The system according to claim 1, wherein the one or more visitor activity detection devices comprises one or more visual sensors configured to detect movements generated by visitors to the amusement park.

9. The system according to claim 1, wherein the one or more amusement park features include one or more displays configured to be instructed by the artificial intelligence entity management system to display an artificial intelligence entity specific to a visitor of the amusement park.

10. The system according to claim 1, wherein the one or more amusement park features include a lighting effect system configured to be commanded by the artificial intelligence entity management system to generate light associated with an artificial intelligence entity unique to the amusement park visitor.

11. The system according to claim 1, wherein the one or more amusement park features comprises one or more anime figures configured to be instructed by the artificial intelligence entity management system to simulate the existence of visitor-specific artificial intelligence entities unique to the visitors of the amusement park.

12. The system according to claim 1, wherein the one or more amusement park features include a sound effects system configured to be instructed by the artificial intelligence entity management system to generate sounds related to the visitor-specific artificial intelligence entities that are unique to the visitors of the amusement park.

13. The system according to claim 1, wherein the one or more characteristics of the visitor-specific artificial intelligence entity unique to the visitor of the amusement park include the identity of the visitor-specific artificial intelligence entity unique to the visitor of the amusement park, one or more details relating to the visitor-specific artificial intelligence entity unique to the visitor of the amusement park, one or more personality traits of the visitor-specific artificial intelligence entity unique to the visitor of the amusement park, the mood of the visitor-specific artificial intelligence entity unique to the visitor of the amusement park, one or more preferences of the visitor-specific artificial intelligence entity unique to the visitor of the amusement park, or a combination thereof.

14. A method that utilizes an artificial intelligence entity unique to each visitor, The steps include tracking data indicating the activity and location of amusement park visitors via one or more visitor activity detection devices, An assembly that transmits the data indicating the activities and locations of visitors to the amusement park to at least one processor, The steps include analyzing the data indicating the activities and locations of visitors to the amusement park via at least one of the processors, A step of modifying one or more characteristics of visitor-specific artificial intelligence entities unique to the visitors of the amusement park, based at least in part on the analyzed data indicating the activities and locations of the visitors of the amusement park, via the at least one processor; The steps include: via the visitor-specific artificial intelligence entity unique to the visitor of the amusement park, instructing one or more amusement park features located within the physical environment of the amusement park to modify the visitor experience unique to the visitor of the amusement park, according to the one or more characteristics of the one or more visitor-specific artificial intelligence entities; Methods that include...

15. The method according to claim 14, wherein the step of commanding the one or more amusement park features located within the physical environment of the amusement park is at least in part based on one or more gestures performed by the amusement park visitor within the physical environment of the amusement park or within a digital environment representing the amusement park through the use of visitor-specific artificial intelligence entities unique to the amusement park visitor.

16. The method according to claim 14, wherein the step of commanding the one or more amusement park features located within the physical environment of the amusement park includes the step of commanding one or more displays to display an artificial intelligence entity specific to the amusement park visitor.

17. The method according to claim 14, wherein the step of commanding the one or more amusement park features located within the physical environment of the amusement park includes the step of activating a lighting effects system to generate light associated with the visitor-specific artificial intelligence entity unique to the visitor of the amusement park.

18. The method according to claim 14, wherein the step of commanding the one or more amusement park features located within the physical environment of the amusement park includes the step of commanding one or more animated figures to simulate the presence of visitor-specific artificial intelligence entities unique to the visitors of the amusement park.

19. The method according to claim 14, wherein the step of activating the one or more amusement park features located within the physical environment of the amusement park includes the step of instructing a sound effects system to generate sounds associated with the visitor-specific artificial intelligence entities that are specific to the visitors of the amusement park.

20. The method according to claim 14, wherein the one or more characteristics of a visitor-specific artificial intelligence entity unique to a visitor of the amusement park include the identity of the visitor-specific artificial intelligence entity unique to a visitor of the amusement park, one or more details relating to the visitor-specific artificial intelligence entity unique to a visitor of the amusement park, one or more personality traits of the visitor-specific artificial intelligence entity unique to a visitor of the amusement park, the mood of the visitor-specific artificial intelligence entity unique to a visitor of the amusement park, one or more preferences of the visitor-specific artificial intelligence entity unique to a visitor of the amusement park, or a combination thereof.

21. The one or more visitor activity detection devices are configured to track the activities and locations of multiple visitors to the amusement park and to transmit data indicating the tracked activities and locations of the multiple visitors to the amusement park. The artificial intelligence entity management system is configured to analyze the data indicating the tracked activities and locations of the multiple visitors to the amusement park, and to modify one or more characteristics of multiple visitor-specific artificial intelligence entities associated with the multiple visitors to the amusement park, based in part on the analyzed data indicating the tracked activities and locations of the multiple visitors to the amusement park. Each of the aforementioned visitor-specific artificial intelligence entities among the plurality of visitor-specific artificial intelligence entities is unique to each of the aforementioned visitors to the amusement park. The system according to claim 1, wherein the one or more amusement park features are configured to be instructed by the plurality of visitor-specific artificial intelligence entities to modify one or more visitor experiences of the amusement park according to the one or more characteristics of the artificial intelligence entities.

22. A system that utilizes an artificial intelligence entity unique to each visitor, An artificial intelligence entity management system configured to modify one or more characteristics of visitor-specific artificial intelligence entities unique to amusement park visitors, at least partially based on the tracked activities and locations of the visitors to the amusement park, One or more amusement park features located within the physical environment of the amusement park, and configured to be commanded by the visitor-specific artificial intelligence entities unique to the amusement park visitors to modify the visitor experience of one or more visitors to the amusement park, according to the one or more characteristics of the visitor-specific artificial intelligence entities unique to the visitors of the amusement park, A system equipped with these features.

23. The system according to claim 22, wherein the one or more amusement park features are configured to be commanded by the visitor-specific artificial intelligence entity of the amusement park to simulate the presence of the visitor-specific artificial intelligence entity of the amusement park in the physical environment of the amusement park, at least in part on one or more gestures performed by the visitor of the amusement park in a digital environment representing the amusement park through the use of the visitor-specific artificial intelligence entity of the amusement park in the physical environment of the amusement park.

24. The system according to claim 22, wherein the artificial intelligence entity management system is configured to simulate the location and / or behavior of a visitor-specific artificial intelligence entity of the visitor of the amusement park in the digital environment, at least in part, based on the tracked activities and locations of the visitor of the amusement park.

25. A system that utilizes an artificial intelligence entity unique to each visitor, One or more visitor activity detection devices configured to detect and track the activities and locations of amusement park visitors, An artificial intelligence entity management system configured to deploy visitor-specific artificial intelligence entities unique to the visitors of the amusement park within a digital environment, wherein the digital environment corresponds to the physical environment of the amusement park, and is configured to analyze data indicating the tracked activities and locations of the visitors of the amusement park, and to modify one or more characteristics of the visitor-specific artificial intelligence entities unique to the visitors of the amusement park, at least in part based on the analyzed data. One or more amusement park features are configured to be placed within the physical environment of the amusement park and to be commanded by the visitor-specific artificial intelligence entity, which is unique to the visitor of the amusement park, to make the presence of that visitor-specific artificial intelligence entity, which is unique to the visitor of the amusement park, explicit within the physical environment of the amusement park. A system equipped with these features.

26. The system according to claim 25, wherein the artificial intelligence entity unique to a visitor of the amusement park is configured to move within the digital environment corresponding to the physical environment of the amusement park, separate from the movement of the visitor, within the physical environment of the amusement park.

27. The system according to claim 25, wherein the artificial intelligence entity unique to a visitor of the amusement park is configured to operate in a digital environment corresponding to the physical environment of the amusement park, separately from the actions performed by the visitor within the physical environment of the amusement park.

28. The system according to claim 27, wherein the visitor-specific artificial intelligence entity unique to the visitor of the amusement park is configured to perform the operation in the digital environment corresponding to the physical environment of the amusement park in accordance with one or more modified characteristics of the visitor-specific artificial intelligence entity unique to the visitor of the amusement park.

29. The system according to claim 27, wherein the actions performed in the digital environment corresponding to the physical environment of the amusement park by the visitor-specific artificial intelligence entity unique to the visitor of the amusement park directly cause the explicit expression of the visitor-specific artificial intelligence entity unique to the visitor of the amusement park within the physical environment of the amusement park.

30. The system according to claim 25, wherein the one or more amusement park features comprises one or more displays configured to be commanded by the artificial intelligence entity management system to display an artificial intelligence entity specific to a visitor of the amusement park.

31. The system according to claim 25, wherein the one or more amusement park features comprises a lighting effect system configured to be commanded by the artificial intelligence entity management system to generate light associated with the visitor-specific artificial intelligence entity unique to the visitor of the amusement park.

32. The system according to claim 25, wherein the one or more amusement park features comprises one or more anime figures configured to be commanded by the artificial intelligence entity management system to simulate the existence of visitor-specific artificial intelligence entities unique to the visitors of the amusement park.

33. The system according to claim 25, wherein the one or more amusement park features include a sound effects system configured to be instructed by the artificial intelligence entity management system to generate sounds associated with the visitor-specific artificial intelligence entities unique to the visitors of the amusement park.

34. One or more characteristics of an AI entity specialized for amusement park visitors: Identification information of the AI ​​entity specialized for amusement park visitors, one or more details about the AI ​​entity specialized for amusement park visitors, one or more personality traits of the AI ​​entity specialized for amusement park visitors, mood of the AI ​​entity specialized for amusement park visitors, one or more preferences of the AI ​​entity specialized for amusement park visitors The system according to claim 25, or a combination thereof.

35. A method that utilizes an artificial intelligence entity unique to each visitor, The steps include tracking data indicating the activity and location of amusement park visitors via one or more visitor activity detection devices, The steps include transmitting the data indicating the activities and locations of visitors to the amusement park to at least one processor, The steps include deploying visitor-specific artificial intelligence entities unique to the visitors of the amusement park in a digital environment corresponding to the physical environment of the amusement park via at least one processor, The steps include analyzing the data indicating the activities and locations of visitors to the amusement park via at least one of the processors, A step of modifying one or more characteristics of visitor-specific artificial intelligence entities unique to the visitors of the amusement park, based at least in part on the analyzed data indicating the activities and locations of the visitors of the amusement park, via the at least one processor; The steps include: instructing one or more amusement park features to explicitly display the visitor-specific artificial intelligence entity, which is unique to the visitor of the amusement park, within the physical environment of the amusement park; Methods that include...

36. The method according to claim 35, wherein the visitor-specific artificial intelligence entity, which is unique to the visitor of the amusement park, is configured to move within the digital environment corresponding to the physical environment of the amusement park, independently of the movements of the visitor within the physical environment of the amusement park.

37. The method according to claim 35, wherein the visitor-specific artificial intelligence entity, which is unique to the visitor of the amusement park, is configured to perform the actions in the digital environment corresponding to the physical environment of the amusement park, separately from the actions performed by the visitor in the physical environment of the amusement park.

38. The method according to claim 37, wherein the visitor-specific artificial intelligence entity unique to the visitor of the amusement park is configured to perform the operation in the digital environment corresponding to the physical environment of the amusement park in accordance with one or more modified characteristics of the visitor-specific artificial intelligence entity unique to the visitor of the amusement park.

39. The method according to claim 37, wherein the actions performed by the visitor-specific artificial intelligence entity, which is unique to the visitor of the amusement park, within the digital environment corresponding to the physical environment of the amusement park, directly cause the explicit representation of the visitor-specific artificial intelligence entity, which is unique to the visitor of the amusement park, within the physical environment of the amusement park.

40. The method according to claim 35, wherein the step of commanding one or more amusement park features located within the physical environment of the amusement park includes the step of commanding one or more displays to display an artificial intelligence entity specific to a visitor of the amusement park.

41. The method according to claim 35, wherein the step of commanding the one or more amusement park features located within the physical environment of the amusement park includes the step of activating a lighting effects system to generate light associated with the visitor-specific artificial intelligence entity unique to the visitor of the amusement park.

42. The method according to claim 35, wherein the step of commanding the one or more amusement park features located within the physical environment of the amusement park includes the step of commanding one or more animated figures to simulate the presence of visitor-specific artificial intelligence entities unique to the visitors of the amusement park.

43. The method according to claim 35, wherein the step of activating the one or more amusement park features located within the physical environment of the amusement park includes the step of instructing a sound effects system to generate sounds associated with the visitor-specific artificial intelligence entities that are specific to the visitors of the amusement park.

44. A system that utilizes an artificial intelligence entity unique to each visitor, An artificial intelligence entity configured to deploy a visitor-specific artificial intelligence entity in a digital environment corresponding to the physical environment of the amusement park, and to modify one or more characteristics of the visitor-specific artificial intelligence entity that is unique to the amusement park visitor, based in part on the tracked behavior and location of the visitor of the amusement park, One or more amusement park features arranged within the physical environment of the amusement park, wherein the one or more amusement park features are configured to instruct the visitor-specific artificial intelligence entity, which is unique to the visitor of the amusement park, to explicitly display the visitor-specific artificial intelligence entity, which is unique to the visitor of the amusement park, within the physical environment of the amusement park; A system that includes this.

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