Presentation content effectiveness using attraction modeling

A computer system, the computer system comprising:

• one or more processors, one or more computer-readable memories, one or more computer-readable tangible storage medium, and program instructions stored on at least one of the one or more computer-readable tangible storage medium for execution by at least one of the one or more processors via at least one of the one or more computer-readable memories, wherein the computer system is capable of performing a method comprising:
• receiving presentation content from a meeting host during an online collaborative meeting;
• capturing one or more actions of one or more users during a display of the presentation content to the one or more users, wherein the one or more actions include an eye movement pattern of the one or more users tracked by an augmented reality (AR) device and a context switching by the one or more users detected by a spike in a utilization of one or more applications, wherein the detected spike in the utilization of the one or more applications includes a spike in opening the one or more applications during a pre-defined timeframe;
• determining whether at least one user of the one or more users is distracted from the presentation content based on the at least one user exceeding a threshold distraction level;
• and
• in response to determining the at least one user is distracted from the presentation content, modifying the display of the presentation content for each distracted user in accordance with one or more characteristics associated with each distracted user.

A computer program product, the computer program product comprising:

• one or more computer-readable tangible storage medium and program instructions stored on at least one of the one or more computer-readable tangible storage medium, the program instructions executable by a processor capable of performing a method, the method comprising:
• receiving presentation content from a meeting host during an online collaborative meeting;
• capturing one or more actions of one or more users during a display of the presentation content to the one or more users, wherein the one or more actions include an eye movement pattern of the one or more users tracked by an augmented reality (AR) device and a context switching by the one or more users detected by a spike in a utilization of one or more applications, wherein the detected spike in the utilization of the one or more applications includes a spike in opening the one or more applications during a pre-defined timeframe;
• determining whether at least one user of the one or more users is distracted from the presentation content based on the at least one user exceeding a threshold distraction level;
• and
• in response to determining the at least one user is distracted from the presentation content, modifying the display of the presentation content for each distracted user in accordance with one or more characteristics associated with each distracted user.