Abstract: A visual tracking system, comprises an eye-tracking device and a cognitive load detection device disposed in electrical communication with the eye-tracking device, the cognitive load detection device comprising a controller having a memory and a processor. The controller is configured to receive eye-movement data from the eye-tracking device, the eye-movement data comprising pupil dilation event data and at least one of saccade event data and fixation event data, apply a classification function to the eye-movement data to detect a cognitive load associated with the eye-movement data and corresponding to a visual location of a field of view of the user, and output a notification regarding the cognitive load associated with the eye-movement data.

Abstract: Embodiments of the innovation relate to a persona development device comprising a controller having a memory and a processor. The controller is configured to receive a research request from a user interaction device, the research request including an attribute related to a persona. The controller is configured to, in response to identifying a correspondence between the attribute of the research request and a persona of a persona database, forward a request response including the persona to the user interaction device. The controller is configured to, in response to identifying a lack of correspondence between the attribute of the research request and a persona of a persona database, retrieve user data from a user data source, create a persona prototype based upon the user data and corresponding to the attribute of the research request, and forward a request response including the persona prototype to the user interaction device.

Abstract: In a text simplification system, a method for replacing text in a field of view of a user, comprises receiving eye movement data from an eye-tracking device, the eye movement data relating to text provided in a field of view of a user and detecting a cognitive load associated with the eye movement and corresponding to a visual location of the field of view of the user. The method comprises, when the cognitive load meets a cognitive load threshold, identifying visualized text provided in the visual location of the field of view of the user and identifying personalization information associated with the user. The method comprises, when the personalization information meets a personalization information criterion, replacing the visualized text provided in the visual location of the field of view of the user with simplified text.

Abstract: A visual tracking system, comprises an eye-tracking device and a cognitive load detection device disposed in electrical communication with the eye-tracking device, the cognitive load detection device comprising a controller having a memory and a processor. The controller is configured to receive eye-movement data from the eye-tracking device, the eye-movement data comprising pupil dilation event data and at least one of saccade event data and fixation event data, apply a classification function to the eye-movement data to detect a cognitive load associated with the eye-movement data and corresponding to a visual location of a field of view of the user, and output a notification regarding the cognitive load associated with the eye-movement data.

Abstract: A recommendation for purchase or selection of a package of food to a consumer, such as a retail of wholesale purchaser of the food package, or a direct or indirect consumer of the food contained in the food package is generated by selecting at least one nutritional value from a food package label by optical character recognition of a representation of the selected nutritional value as it is presented on the package of food. The at least one selected nutritional value is compared to at least one recommended nutritional value corresponding to the selected nutritional value to form at least one comparison value.

Abstract: A fixation identification system includes an eye-tracking device and a fixation identification device disposed in electrical communication with the eye-tracking device. The fixation identification device includes a controller having a memory and a processor, the controller being configured to identify each gaze position data element received from the eye-tracking device as one of fixation gaze position data and saccade gaze position data, each gaze position data element corresponding to a visual location associated with a field of view at a corresponding time; identify at least one fixation region associated with the fixation gaze position data; adjust a number of fixation gaze position data elements associated with the at least one fixation region; and generate a density optimized fixation region based upon the adjusted number of fixation gaze position data elements.