	US 12,469,404 B2
	Systems and methods for customizing playback of digital tutorials
Nathalia S. Santos-Sheehan, Royersford, PA (US); Christopher Franklin, Drexel Hill, PA (US); Jennifer L. Holloway, Wallingford, PA (US); and Daniel P. Rowan, Springfield, PA (US)
Assigned to Adeia Guides Inc., San Jose, CA (US)
Filed by Adeia Guides Inc., San Jose, CA (US)
Filed on May 9, 2024, as Appl. No. 18/659,722.
Application 17/875,784 is a division of application No. 16/225,040, filed on Dec. 19, 2018, granted, now 11,423,794, issued on Aug. 23, 2022.
Application 18/659,722 is a continuation of application No. 17/875,784, filed on Jul. 28, 2022, granted, now 12,008,920.
Prior Publication US 2025/0046202 A1, Feb. 6, 2025
Int. Cl. G09B 5/10 (2006.01); G09B 5/06 (2006.01)

CPC G09B 5/065 (2013.01)

16 Claims

1. A method comprising:

capturing, via a camera of a device, image data of a current state of a task;

storing the captured image data on a memory of the device;

detecting a user utterance;

determining a target state of the task based on the user utterance, wherein determining the target state of the task comprises:

detecting that the user utterance matches metadata associated with a particular state of the task; and

determining that the particular state of the task is the target state of the task;

determining, using a trained neural network, based on the image data, whether the current state of the task matches the target state of the task that was determined based on the user utterance; and

in response to determining that the current state of the task does not match a target state of the task, causing to be output a recommendation to bring the current state of the task to the target state of the task.