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We present a new visualization approach for metadata combining different visualizations into a so-called Su-perTable accompanied by a Scatterplot. The goal is to improve user experience during the information seeking process. Our new visualizations are based on our experiences developing a visual information retrieval system called INSYDER to supply small and medium size enterprises with business information from the Internet. Based on extensive user tests the original visualizations have been redesigned in two different design variants. Instead of offering multiple visualizations to choose from the Su-perTable + Scatterplot combines them in a new way. Therefore, the user has the feeling that he is working with one single visualization in different states. Further the SuperTable solves a problem which seemed to be immanent to visualizations in document retrieval: the change of modalities.

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Schema acquisition processes comprise an essential source of cognitive demands in learning situations. To shed light on related mechanisms and influencing factors, this study applied a continuous multi-measure approach for cognitive load assessment. In a dual-task setting, a sample of 123 student participants learned visually presented symbol combinations with one of two levels of complexity while memorizing auditorily presented number sequences. Learners’ cognitive load during the learning task was addressed by secondary task performance, prosodic speech parameters (pauses, articulation rate), and physiological markers (heart rate, skin conductance response). While results revealed increasing primary and secondary task performance over the trials, decreases in speech and physiological parameters indicated a reduction in the overall level of cognitive load with task progression. In addition, the robustness of the acquired schemata was confirmed by a transfer task that required participants to apply the obtained symbol combinations. Taken together, the observed pattern of evidence supports the idea of a logarithmically decreasing progression of cognitive load with increasing schema acquisition, and further hints on robust and stable transfer performance, even under enhanced transfer demands. Finally, theoretical and practical consequences consider evidence on desirable difficulties in learning as well as the potential of multimodal cognitive load detection in learning applications.