No abstract

Potential applications of this research include the estimation of drivers' automation trust and reliance during highly automated driving.

Retrieval practice on a subset of previously learned material can cause forgetting of the unpracticed material and make it inaccessible to consciousness. Such inaccessibility may arise because the material is no longer sampled from the set of to-be-recalled items, or, though sampled, its representation is not complete enough to be recovered into consciousness. In 2 experiments, it was examined whether retrieval-induced forgetting reflects a sampling or recovery failure by studying the time course of cued recall in this type of situation. Although retrieval practice reduced recall totals of the unpracticed items, in both experiments, the forgetting was not accompanied by an effect on the items' response latencies. This pattern of results is consistent with the view that inhibited items are successfully sampled but, because of a reduction in their activation level, do not exceed the recovery threshold.

No abstract

Gaze-based interfaces gained increasing importance in multimodal human-computer interaction research with the improvement of tracking technologies over the last few years. The activation of selected objects in most eyecontrolled applications is based on dwell times. This interaction technique can easily lead to errors if the users do not pay very close attention to where they are looking. We developed a multimodal interface involving eye movements to determine the object of interest and a Brain-Computer Interface to simulate the mouse click. Experimental results show, that although a combined BCI/eyegaze interface is somewhat slower it reliably leads to less errors in comparison to standard dwell time eye-gaze interfaces.