US 12,314,970 B2
Systems and methods to correlate user behavior patterns within digital application environments with psychological attributes of users to determine adaptations to the digital application environments
Joseph Jack Schaeppi, Maple Grove, MN (US); Lynn Danielle Francoise Bergmann, Berlin (DE); and Lloyd William West, Berlin (DE)
Assigned to Solsten, Inc., Edina, MN (US)
Filed by Solsten, Inc., Edina, MN (US)
Filed on Jul. 26, 2023, as Appl. No. 18/359,797.
Application 18/359,797 is a continuation of application No. 17/339,665, filed on Jun. 4, 2021, granted, now 11,727,424.
Prior Publication US 2023/0376984 A1, Nov. 23, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. G06Q 30/02 (2023.01); G06Q 30/0204 (2023.01)
CPC G06Q 30/0204 (2013.01) 12 Claims
OG exemplary drawing
 
1. A system configured to correlate performances of user behavior patterns within digital application environments with psychological attributes of users exhibiting the user behavior patterns to determine adaptations to the digital application environments, the system comprising:
electronic storage configured to store user information for individual users, wherein the user information includes psychological profiles for the users and assignments of the users to different clusters of the users, wherein the different clusters are associated with different psychological profiles, wherein a given psychological profile is defined by multiple psychological parameter values to psychological parameters, and the users are assigned to the different clusters based on the psychological parameter values of the individual users, wherein the psychological profiles of the users assigned to the different clusters indicate strong presentations of different psychological parameters; and
one or more processors configured by machine-readable instructions to:
obtain performance information from client computing platforms hosting the digital application environments, the performance information characterizing the performances of the user behavior patterns by the users within the digital application environments hosted on the client computing platforms, wherein the user behavior patterns include actions of the users with the digital application environments, with other ones of the users within the digital application environments, and/or with content within the digital application environments, wherein the user behavior patterns are performed successively;
determine correlations between individual ones of the performances of the user behavior patterns and individual ones of the psychological parameters based on (i) the user behavior patterns, (ii) the assignments of the users to the different clusters, and (iii) commonalities in the psychological profiles of the users within individual clusters, such that the correlations are determined between the individual ones of the performances of the user behavior patterns and the individual ones of the psychological parameters based on relatively frequent performance of the user behavior patterns by the users assigned to the different clusters and the psychological profiles of the users assigned to same ones of the different clusters indicating strong presentations of the psychological parameters;
determine the adaptations to the digital application environments for the individual users based on the correlations; and
transmit the adaptations to the client computing platforms associated with the users to cause the adaptations to be implemented in the digital application environments hosted on the client computing platforms.