# US 2022/0198293 A1 · Systems and methods for evaluation of interpersonal interactions to predict real world performance > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2022/0198293 A1 - Document ID: US20220198293A1 - Status: Published application - Kind: A1 - Application number: 17/131,365 - Filed: 2020-12-22 - Published: 2022-06-23 - Earliest claimed: 2020-12-22 - Assignees: Mursion, Inc. - Applicants: Mursion, Inc - Inventors: Arjun NAGENDRAN; Scott COMPTON; William C. FOLLETTE - Web page: https://patentgrep.com/patent/US20220198293A1 ## CPC - G06N 5/04: Inference or reasoning models - G06Q 10/06: Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling - G06N 20/00: Machine learning - G06N: COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS - 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 ## Abstract Aspects of systems and methods for evaluation of interpersonal interactions to predict real world performance are disclosed. In an example, a system includes an input device, a memory storing instructions, and a processor communicatively coupled with the input device and the memory. The processor is configured to receive ratings data corresponding to a first user from the input device indicating an assessment of the first user during an interpersonal interaction. The processor is configured to evaluate the ratings data corresponding to the first user in comparison to ratings data corresponding to a plurality of rated users. The processor is configured to output a result of the evaluated ratings data indicating a performance of the first user during the interpersonal interaction. ## Claims ### Claim 1 A system, comprising: an input device; a memory storing instructions; and one or more processors communicatively coupled with the input device and the memory, the one or more processors configured to: receive ratings data corresponding to a first user from the input device indicating an assessment of the first user during an interpersonal interaction; evaluate the ratings data corresponding to the first user in comparison to ratings data corresponding to a plurality of rated users; and output a result of the evaluated ratings data indicating an evaluation of the first user during the interpersonal interaction. ### Claim 2 (depends on 1) The system of claim 1, wherein the one or more processors is further configured to: calculate a performance score corresponding to the first user in response to the evaluated ratings data. ### Claim 3 (depends on 2) The system of claim 2, wherein the performance score corresponds to a rating of the first user in relation to one or more users of the system. ### Claim 4 (depends on 2) The system of claim 2, wherein the performance score correlates to any real-world performance metric for the first user that predicts an impact of the first user on a real-world performance. ### Claim 5 (depends on 1) The system of claim 1, wherein the one or more processors is further configured to: identify transitions from a first state of the ratings data to a second state of the ratings data. ### Claim 6 (depends on 5) The system of claim 5, wherein the one or more processors is further configured to: weight each of the transitions from the first state to the second state to indicate a relevance of each of the transitions; and calculate a performance score corresponding to the first user based on weights of the transitions. ### Claim 7 (depends on 1) The system of claim 1, wherein the one or more processors is further configured to: determine one or more characteristics to improve a performance score corresponding to the first user based the result of the evaluated ratings data; and output the one or more characteristics with the result. ### Claim 8 (depends on 1) The system of claim 1, wherein the one or more processors is further configured to: identify one or more positions or groups within an organization for the first user based the result of the evaluated ratings data; and output the one or more positions or groups within the organization with the result. ### Claim 9 (depends on 1) The system of claim 1, wherein the one or more processors is further configured to: predictively compute, prior to an end of the interpersonal interaction, a probability of the first user successfully completing the interpersonal interaction based on historical data obtained during historical interpersonal interaction. ### Claim 10 A method for evaluation of an interpersonal interaction to predict real world performance, comprising: receiving ratings data corresponding to a first user from a input device indicating an assessment of the first user during the interpersonal interaction; evaluating the ratings data corresponding to the first user in comparison to ratings data corresponding to a plurality of rated users; and outputting a result of the evaluating indicating an evaluation of the first user during the interpersonal interaction. ### Claim 11 (depends on 10) The method of claim 10, further comprising: calculating a performance score corresponding to the first user in response to the evaluating the ratings data. ### Claim 12 (depends on 11) The method of claim 11, wherein the performance score corresponds to a rating of the first user in relation to one or more users involved in the interpersonal interaction. ### Claim 13 (depends on 11) The method of claim 11, wherein the performance score correlates to any real-world performance metric for the first user that predicts an impact of the first user on a real-world performance. ### Claim 14 (depends on 10) The method of claim 10, wherein the evaluating the ratings data comprises: identifying transitions from a first state of the ratings data to a second state of the ratings data. ### Claim 15 (depends on 14) The method of claim 14, wherein the evaluating the ratings data further comprises: weighting each of the transitions from the first state to the second state to indicate a relevance of each of the transitions; and calculating a performance score corresponding to the first user based on the weighting of the transitions. ### Claim 16 (depends on 10) The method of claim 10, further comprising: determining one or more characteristics to improve a performance score corresponding to the first user based the result of the evaluating; and outputting the one or more characteristics with the result. ### Claim 17 (depends on 10) The method of claim 10, further comprising: identifying one or more positions or groups within an organization for the first user based the result of the evaluating; and outputting the one or more positions or groups within the organization with the result. ### Claim 18 (depends on 10) The method of claim 10, further comprising: predictively computing, prior to an end of the interpersonal interaction, a probability of the first user successfully completing the interpersonal interaction based on historical data obtained during historical interpersonal interaction. ### Claim 19 A computer-readable medium storing executable code for executing on one or more processors, comprising code to: receive ratings data corresponding to a first user from an input device indicating an assessment of the first user during an interpersonal interaction; evaluate the ratings data corresponding to the first user in comparison to ratings data corresponding to a plurality of rated users; and output a result of the evaluated ratings data indicating an effectiveness of the first user during the interpersonal interaction. ### Claim 20 (depends on 19) The computer-readable medium of claim 19, further comprising code to: calculate a performance score corresponding to the first user in response to the evaluated ratings data.