Abstract: An apparatus includes a processing device configured to capture user session information associated with one or more user sessions involving interaction of users with a digital platform and to generate, utilizing the captured user session information, a digital representation of user-perceived content of one or more portions of the digital platform that the users interacted with as part of the one or more user sessions. The at least one processing device is also configured to determine, utilizing the digital representation of the user-perceived content, one or more design evaluation metrics for a design of the one or more portions of the digital platform that the users interacted with as part of the one or more user sessions and to automatically modify a configuration of at least one of the one or more portions of the digital platform based at least in part on the determined design evaluation metrics.

Abstract: An apparatus includes at least one processing device configured to monitor interaction of users with a digital platform, to determine associations between the monitored interaction and a set of constructs, and to generate a model of user behavior associated with the digital platform, the generated model specifying interrelationships of at least particular constructs in the set of constructs with one another and an output behavioral metric. The at least one processing device is also configured to predict, utilizing the generated model and the determined associations between the monitored interaction and the set of constructs, effects of one or more modifications to a configuration of the digital platform on the output behavioral metric. The at least one processing device is further configured to implement at least one of the one or more modifications to the configuration of the digital platform based at least in part on the predicted effects.

Abstract: An apparatus comprises a processing device configured to obtain an information density matrix characterizing density of feature points in an input visual stimulus, and to analyze content of the input visual stimulus utilizing the information density matrix to identify one or more objects in the input visual stimulus. The processing device is also configured to determine object-based pathways in the input visual stimulus, each of the object-based pathways being associated with one of the objects in the input visual stimulus, the object-based pathways representing potential decision pathways for a user viewing the input visual stimulus to reach a desired result. The processing device is further configured to estimate probabilities for different behavioral intents of the user viewing the input visual stimulus based at least in part on the object-based pathways, and to modify a design of the input visual stimulus to adjust the estimated probabilities of the different behavioral intents.

Abstract: An apparatus comprises a processing device configured to obtain an information density matrix characterizing information density of feature points in an input visual stimulus, and to analyze content of the input visual stimulus utilizing the information density matrix to identify in the input visual stimulus. The processing device is also configured to evaluate cognitive measures of each of the objects in the input visual stimulus and to estimate a likelihood of a user viewing the input visual stimulus to fixate attention on respective ones of the objects in the input visual stimulus based at least in part on the cognitive measures. The processing device is further configured to modify a design of the input visual stimulus to adjust the estimated likelihood of the user viewing the input visual stimulus to fixate attention on at least one of the objects in the input visual stimulus.

Abstract: An apparatus includes a processing device configured to obtain an information density matrix characterizing information density of feature points in an input visual stimulus, and to analyze content of the input visual stimulus utilizing the information density matrix to identify one or more objects in the input visual stimulus. The processing device is also configured to determine emotional resonance scores associated with each of the objects in the input visual stimulus, a given emotional resonance score for a given one of the one or more objects characterizing an intensity and an emotional valence of an emotional effect of the given object on a user viewing the input visual stimulus. The processing device is further configured to modify a design of the input visual stimulus to adjust at least one of the emotional resonance scores associated with at least one of the one or more objects in the input visual stimulus.

Abstract: An apparatus comprises at least one processing device comprising a processor coupled to a memory. The at least one processing device is configured to obtain an information density matrix for an input visual stimulus, the information density matrix characterizing information density of feature points in the input visual stimulus, and to identify one or more clusters of feature points in the input visual stimulus by performing spatial clustering of the feature points utilizing the information density matrix. The at least one processing device is also configured to determine a cognitive load score for the input visual stimulus based at least in part on the identified one or more clusters of feature points, the cognitive load score characterizing cognitive energy required to mentally process the input visual stimulus. The at least one processing device is further configured to modify a design of the input visual stimulus to adjust the cognitive load score of the input visual stimulus.

Abstract: An apparatus comprises at least one processing device comprising a processor coupled to a memory. The at least one processing device is configured to obtain an input visual stimulus, to detect feature points in the input visual stimulus, and to identify densities of the detected feature points in each of two or more distinct regions of the input visual stimulus. The at least one processing device is also configured to determine relative information density in the two or more distinct regions of the input visual stimulus. The at least one processing device is further configured to modify a design of the input visual stimulus to adjust the relative information density among at least two of the two or more distinct regions of the input visual stimulus.

Abstract: An apparatus includes a processing device configured to obtain an information density matrix characterizing information density of feature points in an input visual stimulus, and to analyze content of the input visual stimulus utilizing the information density matrix to identify one or more objects in the input visual stimulus. The processing device is also configured to determine emotional resonance scores associated with each of the objects in the input visual stimulus, a given emotional resonance score for a given one of the one or more objects characterizing an intensity and an emotional valence of an emotional effect of the given object on a user viewing the input visual stimulus. The processing device is further configured to modify a design of the input visual stimulus to adjust at least one of the emotional resonance scores associated with at least one of the one or more objects in the input visual stimulus.

Abstract: An apparatus comprises at least one processing device comprising a processor coupled to a memory. The at least one processing device is configured to obtain an information density matrix for an input visual stimulus, the information density matrix characterizing information density of feature points in the input visual stimulus, and to identify one or more clusters of feature points in the input visual stimulus by performing spatial clustering of the feature points utilizing the information density matrix. The at least one processing device is also configured to determine a cognitive load score for the input visual stimulus based at least in part on the identified one or more clusters of feature points, the cognitive load score characterizing cognitive energy required to mentally process the input visual stimulus. The at least one processing device is further configured to modify a design of the input visual stimulus to adjust the cognitive load score of the input visual stimulus.

Abstract: An apparatus comprises a processing device configured to obtain an information density matrix characterizing density of feature points in an input visual stimulus, and to analyze content of the input visual stimulus utilizing the information density matrix to identify one or more objects in the input visual stimulus. The processing device is also configured to determine object-based pathways in the input visual stimulus, each of the object-based pathways being associated with one of the objects in the input visual stimulus, the object-based pathways representing potential decision pathways for a user viewing the input visual stimulus to reach a desired result. The processing device is further configured to estimate probabilities for different behavioral intents of the user viewing the input visual stimulus based at least in part on the object-based pathways, and to modify a design of the input visual stimulus to adjust the estimated probabilities of the different behavioral intents.

Abstract: An apparatus comprises a processing device configured to obtain an information density matrix characterizing information density of feature points in an input visual stimulus, and to analyze content of the input visual stimulus utilizing the information density matrix to identify in the input visual stimulus. The processing device is also configured to evaluate cognitive measures of each of the objects in the input visual stimulus and to estimate a likelihood of a user viewing the input visual stimulus to fixate attention on respective ones of the objects in the input visual stimulus based at least in part on the cognitive measures. The processing device is further configured to modify a design of the input visual stimulus to adjust the estimated likelihood of the user viewing the input visual stimulus to fixate attention on at least one of the objects in the input visual stimulus.

Abstract: An apparatus comprises at least one processing device comprising a processor coupled to a memory. The at least one processing device is configured to obtain an input visual stimulus, to detect feature points in the input visual stimulus, and to identify densities of the detected feature points in each of two or more distinct regions of the input visual stimulus. The at least one processing device is also configured to determine relative information density in the two or more distinct regions of the input visual stimulus. The at least one processing device is further configured to modify a design of the input visual stimulus to adjust the relative information density among at least two of the two or more distinct regions of the input visual stimulus.