- Number
- 10268969
- Published
- 2019-04-23
- Filed
- 2015-04-16
- Assignee
- Disney Enterprises, Inc.
- Inventors
- Snoddy; Jon, Ayala; Alfredo, Pike; Daniel, Fusco; Mike, Fidaleo; Douglas
- CPC
- G06N20/00; G06N3/006; G06Q30/00
- Verdict
- Medium Notable software
- Source
- Google Patents · FreePatentsOnline
The keeper's note
Artificial intelligence controlled entertainment performance (animatronic control, Snoddy).
Abstract
A process and computer program product to record performance related data for a plurality of entertainment performances having a plurality of audiences. Further, the process and computer program product determine external data that is associated with the plurality of audiences and/or environmental factors corresponding to locations of the plurality of entertainment performances. In addition, the process and computer program product annotate the performance related data with the external data to generate annotated performance related data. The process and computer program product also train an artificial intelligence system based upon the annotated performance related data. The process and computer program product generate, at the artificial intelligence performance instructions to provide a performance. Further, the process and computer program product provide, from the artificial intelligence system to a performance device, the performance instructions to provide a performance.
Background
BACKGROUND(1) 1. Field(2) This disclosure generally relates to the field of artificial intelligence. More particularly, the disclosure relates to an artificial intelligence system utilized for an entertainment performance.(3) 2. General Background(4) The artificial intelligence area of the field of computer science was developed with the goal of having various computerized devices mimic human behavior. The basis of the artificial intelligence area is the concept of a machine being able to exhibit intelligent behavior that is almost indistinguishable from that of a human. Various computer programs and artificial intelligence techniques have been used to provide intelligent interfaces between the machines and humans or between the machines and other machines. These attempts mostly focus on emulating the logical intelligence of a human being, e.g., answering questions, playing games, retrieving data, etc.(5) Automated systems are increasingly used in entertainment performances such as theatrical, film, theme parks, concerts, sporting events, lectures and the like. Animatronics, puppets, props, mobile sets, and the like may be operated by a human operator which gives the impression of intelligent interaction to guests because a human is behind the interaction. The previous devices used in entertainment environments were lacking, among other things, the emotional intelligence that occurs in a human to human entertainment experience. For example, a human comedian provides a comedic
Claims
1. A method comprising: recording performance related data for a plurality of real-world entertainment performances having a plurality of audiences; configuring one or more audience sensors within an entertainment performance environment to sense real-world external data corresponding to one or more measurements of human sensory reception at real-world locations of the plurality of entertainment performances measured in response to the plurality of real-world entertainment performances, the one or more audience sensors being selected from the group consisting: of a thermometer, a sound sensor, and a video recorder, the real-world external data being selected from the group consisting of: gestures, timing, fidgeting, attention, silence, demographics, audience age, geographic location, room size, laughter, applause, booing, groaning, and emotional reaction; annotating the performance related data with metadata corresponding to the real-world external data; providing a plurality of rules based on the metadata to an artificial intelligence system, the plurality of rules comprising one or more conditions associated with the real-world external data of the real-world performance measured at the real-world locations within the entertainment performance environment; training the artificial intelligence system to modify a selection of content for the real-world performance based upon the one or more conditions being met; generating, at the artificial intelligence system, performance instructions to provide the real-world performance, the performance instructions being based on the training; and providing, from the artificial intelligence system to a performance device, the performance instructions to provide the real-world performance.
6. A system comprising: a recording device that records performance related data for a plurality of real-world entertainment performances having a plurality of audiences; one or more audience sensors configured to sense real-world external data within an entertainment performance environment, the real-world external data corresponding to one or more measurements of human sensory reception at real-world locations of the plurality of entertainment performances measured in response to the plurality of real-world entertainment performances, the one or more audience sensors being selected from the group consisting of: a thermometer, a sound sensor, and a video recorder, the real-world external data being selected from the group consisting of: gestures, timing, fidgeting, attention, silence, demographics, audience age, geographic location, room size, laughter, applause, booing, groaning, and emotional reaction; an annotation device that annotates the performance related data with metadata corresponding to the real-world external data; and an artificial intelligence system that is trained to modify a selection of content for the real-world performance based on one or more conditions being met, that generates performance instructions to provide a real-world performance, and that provides the performance instructions to a performance device to provide the real-world performance, the one or more conditions being determined according to a plurality of rules based on the metadata, the one or more conditions being associated with the real-world external data of the real-world performance measured at the real-world locations within the performance environment, the performance instructions being based on the training.
12. A computer program product comprising a computer readable storage device having a computer readable program stored thereon, wherein the computer readable program while executing on a computer causes the computer to: record performance related data for a plurality of real-world entertainment performances having a plurality of audiences; configure one or more audience sensors within an entertainment performance environment to sense real-world external data corresponding to one or more measurements of human sensory reception at locations of the plurality of real-world entertainment performances measured in response to the plurality of real-world entertainment performances, the one or more audience sensors being selected from the group consisting: of a thermometer, a sound sensor, and a video recorder, the real-world external data being selected from the group consisting of: gestures, timing, fidgeting, attention, silence, demographics, audience age, geographic location, room size, laughter, applause, booing, groaning, and emotional reaction; annotate the performance related data with metadata corresponding to the real-world external data; provide a plurality of rules based on the metadata to an artificial intelligence system, the plurality of rules comprising one or more conditions associated with the real-world external data of the real-world performance measured at the real-world locations within the performance environment; train the artificial intelligence system to modify a selection of content for the real-world performance based upon the one or more conditions being met; generate, at the artificial intelligence system, performance instructions to provide the real-world performance, the performance instructions being based on the training; and provide, from the artificial intelligence system to a performance device, the performance instructions to provide the real-world performance.