1. A method for detecting objects of interest, the method comprising: receiving gaze tracking data of a person looking at a collection of objects, the gaze tracking data comprising information, at which points the person is looking; determining a map of objects in the field of view of the person, the map of objects indicating, at which position an object in the collection of objects is arranged; determining gaze interaction events for objects in the collection of objects by matching the gaze tracking data to the map of objects, wherein a gaze interaction event for an object indicates that a specific gazing interaction has occurred with respect to the object and wherein a gaze interaction event is based on a model of a peripheral view of the person; determining category characteristics for objects having gaze interaction events, wherein a category characteristic describes the object with respect to a specific object category; determining at least one category characteristic of interest in at least one object category by finding at least one category characteristic which is assigned to a plurality of objects, which have gaze interaction events indicating the person is interested in these objects determining a negative involvement level for an object from the gaze interaction events of the object based on the model of the peripheral view of the person, wherein objects with a negative involvement level higher than a negative involvement level threshold are excluded for a selection of objects.