US 12,437,309 B2
Behavioral intent estimation for a visual stimulus
Annamarie Huttunen, Evergreen, CO (US); and Jordan E. Lord, Austin, TX (US)
Assigned to Dell Products L.P., Round Rock, TX (US)
Filed by Dell Products L.P., Round Rock, TX (US)
Filed on Apr. 19, 2022, as Appl. No. 17/723,729.
Prior Publication US 2023/0329607 A1, Oct. 19, 2023
Int. Cl. G06Q 30/0201 (2023.01); G06F 11/34 (2006.01); G06F 16/957 (2019.01); G06T 7/11 (2017.01)
CPC G06Q 30/0201 (2013.01) [G06F 16/9577 (2019.01); G06T 7/11 (2017.01); G06F 11/3438 (2013.01)] 20 Claims
OG exemplary drawing
 
1. An apparatus comprising:
at least one processing device comprising a processor coupled to a memory;
the at least one processing device being configured to perform steps of:
obtaining an information density matrix for an input visual stimulus, the information density matrix characterizing information density of feature points in the input visual stimulus, the input visual stimulus being a particular visual stimulus in a sequence of two or more visual stimuli;
analyzing content of the input visual stimulus utilizing the information density matrix to identify one or more objects in the input visual stimulus;
determining a first set of one or more object-based pathways in the input visual stimulus, each object-based pathway in the first set of one or more object-based pathways being (i) associated with one of the one or more objects in the input visual stimulus and (ii) representing potential decision pathways for a user viewing the input visual stimulus to one of transition to another visual stimulus in the sequence of two or more visual stimuli and reach a desired result ending the sequence of two or more visual stimuli;
estimating probabilities for two or more different behavioral intents of the user viewing the input visual stimulus based at least in part on differences between the first set of one or more object-based pathways in the input visual stimulus and a second set of one or more object-based pathways in at least one previous visual stimulus in the sequence of two or more visual stimuli; and
modifying a design of the input visual stimulus to adjust the estimated probabilities of the two or more different behavioral intents of the user viewing the input visual stimulus.