Abstract: In examples, an electronic device comprises a processor to receive an image of a meeting space including a person; identify facial features of the person; determine whether the person is of interest to a meeting based on the identification; and cause a change in a manner in which a video stream of the person is displayed on a graphical user interface (GUI) based on the determination.

Abstract: An example non-transitory machine-readable storage medium comprising instructions executable by a processing resource of a computing device to cause the computing device to: receive a video feed of a participant in a video conference; identify the participants within the video feed; determine a probability that a characteristic is being experienced by the participant; determine a relevancy score of the participant based on the probability that the characteristic is being experienced by the participant; and display the participant relative to other participants in the video conference based on the relevancy score.

Abstract: An example non-transitory machine-readable storage medium comprising instructions executable by a processing resource of a computing device to cause the computing device to: receive a video feed of a participant in a video conference; identify the participants within the video feed; determine a probability that a characteristic is being experienced by the participant; determine a relevancy score of the participant based on the probability that the characteristic is being experienced by the participant; and display the participant relative to other participants in the video conference based on the relevancy score.

Abstract: In examples, an electronic device comprises a processor to receive an image of a meeting space including a person; identify facial features of the person; determine whether the person is of interest to a meeting based on the identification; and cause a change in a manner in which a video stream of the person is displayed on a graphical user interface (GUI) based on the determination.

Abstract: An example computing device according to the systems and methods described herein may include a camera to capture images of a user during operation of a computing device. The computing device may execute a plurality of applications, some of which may include application windows displayed on a display panel of the computing device. A gaze detection subsystem or module may detect a gaze direction of the user in each of the captured images. For each captured image, the gaze detection subsystem or module may compute or otherwise identify the user's focus on one or more application windows displayed on a display panel of the computing device. A brightness control module may modify the relative brightness of each application window displayed on the display panel based on a function of the frequency of user focus, duration of user focus, and recency of user focus on each respective application window.