US 11,853,474 B2
Algorithmically adjusting the hit box of icons based on prior gaze and click information
Dongeek Shin, Santa Clara, CA (US); Ricardo John Campbell, Redwood City, CA (US); and Jingying Hu, Menlo Park, CA (US)
Assigned to Google LLC, Mountain View, CA (US)
Filed by Google LLC, Mountain View, CA (US)
Filed on May 5, 2022, as Appl. No. 17/662,175.
Prior Publication US 2023/0359271 A1, Nov. 9, 2023
Int. Cl. G06F 3/01 (2006.01)
CPC G06F 3/013 (2013.01) 18 Claims
OG exemplary drawing
 
1. A method comprising:
determining historical user data associated with an event occurring on a wearable device, the historical user data including a focus tendency;
determining a probability of interacting with each of a plurality of objects on a display of the wearable device based on the historical user data;
scaling, based on the probability of interacting with each of the plurality of objects and based on the focus tendency, a hitbox associated with one of the plurality of objects to form a scaled hitbox, the hitbox being scaled non-uniformly based on the focus tendency;
detecting a user input based on an eye tracking being within the scaled hitbox; and
in response to detecting the user input, initiating an action corresponding to the object associated with the scaled hitbox.