# US 2022/0284648 A1 · Context real avatar audience creation during live video sharing > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2022/0284648 A1 - Document ID: US20220284648A1 - Status: Published application - Kind: A1 - Application number: 17/189,298 - Filed: 2021-03-02 - Published: 2022-09-08 - Earliest claimed: 2021-03-02 - Assignees: International Business Machines Corporation - Applicants: International Business Machines Corporation - Inventors: Sanjay Guha Thakurta; Sarbajit K. Rakshit; Karthik Krishnan; Venkataramana Logasundaram Jaganathan - Web page: https://patentgrep.com/patent/US20220284648A1 ## CPC - G06T 19/006: {Mixed reality (object pose determination, tracking or camera calibration for mixed reality G06T7/00)} - G06F 16/951: Indexing; Web crawling techniques - G06Q 10/40: Business processes related to social networking or social networking services - G06Q 30/02: Marketing; Price estimation or determination; Fundraising - G06T 13/40: of characters, e.g. humans, animals or virtual beings - G16Y 20/40: relating to personal data, e.g. biometric data, records or preferences - G06T 2219/024: Multi-user, collaborative environment - G06T: IMAGE DATA PROCESSING OR GENERATION, IN GENERAL - G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N) - G06Q: INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR - G16Y: INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT] ## Abstract An embodiment for creating an avatar of an online viewer during a live video broadcast is provided. The embodiment may include receiving a number of in-person viewers at an event. The embodiment may also include identifying a number of online viewers watching the event remotely. The embodiment may further include in response to determining the number of in-person viewers at the event is below a threshold, identifying a location of the in-person viewers at the event. The embodiment may also include analyzing reactions of the online viewers to scenarios of the event. The embodiment may further include creating an avatar for each of the online viewers. The embodiment may also include populating each empty seat at the event with the created avatar for each online viewer. The embodiment may further include displaying the created avatars occupying the empty seats to the online viewers. ## Claims ### Claim 1 A computer-based method of creating an avatar of an online viewer during a live video broadcast, the method comprising: receiving a number of in-person viewers at an event; identifying a number of online viewers watching the event remotely; determining whether the number of in-person viewers at the event is below a threshold level; in response to determining the number of in-person viewers at the event is below the threshold level, identifying a location of the in-person viewers at the event; analyzing reactions of the online viewers to scenarios of the event; and creating an avatar for each of the online viewers based on profiles of the online viewers, wherein the created avatar for each online viewer is altered during the event based on the analyzed reactions. ### Claim 2 (depends on 1) The method of claim 1, further comprising: populating each empty seat at the event with the created avatar for each online viewer; and displaying the created avatars occupying the empty seats to the online viewers. ### Claim 3 (depends on 2) The method of claim 2, further comprising: receiving social media data regarding the event; interpreting emotions of the online viewers based on the social media data; identifying traditional behavior patterns of the event; identifying characteristics of a stadium hosting the event; creating audio/visual (AV) content based on the traditional behavior patterns and the stadium characteristics; and displaying the AV content in the stadium. ### Claim 4 (depends on 1) The method of claim 1, wherein one or more Internet of Things (IoT) Devices are utilized to analyze the reactions of the online viewers. ### Claim 5 (depends on 2) The method of claim 2, wherein if the event is a sporting event, the created avatars are populated into the empty seats based on a team preference of each online viewer, wherein the avatars supporting one team are grouped together, and wherein the avatars supporting another team are grouped together. ### Claim 6 (depends on 1) The method of claim 1, wherein the threshold level is set by an organizer of the event. ### Claim 7 (depends on 3) The method of claim 3, wherein the social media data is selected from a group consisting of generated hashtags for the event, and text from social media timelines. ### Claim 8 A computer system, the computer system comprising: one or more processors, one or more computer-readable memories, one or more computer-readable tangible storage medium, and program instructions stored on at least one of the one or more tangible storage medium for execution by at least one of the one or more processors via at least one of the one or more memories, wherein the computer system is capable of performing a method comprising: receiving a number of in-person viewers at an event; identifying a number of online viewers watching the event remotely; determining whether the number of in-person viewers at the event is below a threshold level; in response to determining the number of in-person viewers at the event is below the threshold level, identifying a location of the in-person viewers at the event; analyzing reactions of the online viewers to scenarios of the event; and creating an avatar for each of the online viewers based on profiles of the online viewers, wherein the created avatar for each online viewer is altered during the event based on the analyzed reactions. ### Claim 9 (depends on 8) The computer system of claim 8, further comprising: populating each empty seat at the event with the created avatar for each online viewer; and displaying the created avatars occupying the empty seats to the online viewers. ### Claim 10 (depends on 9) The computer system of claim 9, further comprising: receiving social media data regarding the event; interpreting emotions of the online viewers based on the social media data; identifying traditional behavior patterns of the event; identifying characteristics of a stadium hosting the event; creating audio/visual (AV) content based on the traditional behavior patterns and the stadium characteristics; and displaying the AV content in the stadium. ### Claim 11 (depends on 1) The computer system of claim 1, wherein one or more Internet of Things (IoT) Devices are utilized to analyze the reactions of the online viewers. ### Claim 12 (depends on 9) The computer system of claim 9, wherein if the event is a sporting event, the created avatars are populated into the empty seats based on a team preference of each online viewer, wherein the avatars supporting one team are grouped together, and wherein the avatars supporting another team are grouped together. ### Claim 13 (depends on 8) The computer system of claim 8, wherein the threshold level is set by an organizer of the event. ### Claim 14 (depends on 10) The computer system of claim 10, wherein the social media data is selected from a group consisting of generated hashtags for the event, and text from social media timelines. ### Claim 15 A computer program product, the computer program product comprising: one or more computer-readable tangible storage medium and program instructions stored on at least one of the one or more tangible storage medium, the program instructions executable by a processor capable of performing a method, the method comprising: receiving a number of in-person viewers at an event; identifying a number of online viewers watching the event remotely; determining whether the number of in-person viewers at the event is below a threshold level; in response to determining the number of in-person viewers at the event is below the threshold level, identifying a location of the in-person viewers at the event; analyzing reactions of the online viewers to scenarios of the event; and creating an avatar for each of the online viewers based on profiles of the online viewers, wherein the created avatar for each online viewer is altered during the event based on the analyzed reactions. ### Claim 16 (depends on 15) The computer program product of claim 15, further comprising: populating each empty seat at the event with the created avatar for each online viewer; and displaying the created avatars occupying the empty seats to the online viewers. ### Claim 17 (depends on 16) The computer program product of claim 16, further comprising: receiving social media data regarding the event; interpreting emotions of the online viewers based on the social media data; identifying traditional behavior patterns of the event; identifying characteristics of a stadium hosting the event; creating audio/visual (AV) content based on the traditional behavior patterns and the stadium characteristics; and displaying the AV content in the stadium. ### Claim 18 (depends on 15) The computer program product of claim 15, wherein one or more Internet of Things (IoT) Devices are utilized to analyze the reactions of the online viewers. ### Claim 19 (depends on 17) The computer program product of claim 17, wherein if the event is a sporting event, the created avatars are populated into the empty seats based on a team preference of each online viewer, wherein the avatars supporting one team are grouped together, and wherein the avatars supporting another team are grouped together. ### Claim 20 (depends on 15) The computer program product of claim 15, wherein the threshold level is set by an organizer of the event.