After decades of digitization, large cultural heritage collections have emerged on the web, which contain massive stocks of content from galleries, libraries, archives, and museums. This increase in digital cultural heritage data promises new modes of analysis and increased levels of access for academic scholars and casual users alike. Going beyond the standard representations of search-centric and grid-based interfaces, a multitude of approaches has recently started to enable visual access to cultural collections, and to explore them as complex and comprehensive information spaces by the means of interactive visualizations. In contrast to conventional web interfaces, we witness a widening spectrum of innovative visualization types specially designed for rich collections from the cultural heritage sector. This new class of information visualizations gives rise to a notable diversity of interaction and representation techniques while lending currency and urgency to a discussion about principles such as serendipity, generosity, and criticality in connection with visualization design. With this survey, we review information visualization approaches to digital cultural heritage collections and reflect on the state of the art in techniques and design choices. We contextualize our survey with humanist perspectives on the field and point out opportunities for future research.

The present study examined the defining features of emerging adulthood, subjects' conceptions of the transition to adulthood, and the perceived adult status in Austria. The sample consisted of 775 subjects (226 adolescents, 317 emerging adults, 232 adults). Results showed that most Austrian emerging adults feel themselves to be between adolescence and adulthood. Emerging adults predominantly described this period as an age of possibilities and identity exploration, as a self-focused age, as an age of feeling in between, and of instability. Regarding important criteria for feeling adult, it was found that age groups (adolescents, emerging adults, adults) differ in individualism, family capacities, norm compliance, role transitions, and other. Thus, as was shown for other Western cultures, emerging adulthood seemed to constitute a distinct stage of life in Austria also.

No abstract

No abstract

Visual analytics emphasizes the interplay between visualization, analytical procedures performed by computers and human perceptual and cognitive activities. Human reasoning is an important element in this context. There are several theories in psychology and HCI explaining open-ended and exploratory reasoning. Five of these theories (sensemaking theories, gestalt theories, distributed cognition, graph comprehension theories and skill-rule-knowledge models) are described in this paper. We discuss their relevance for visual analytics. In order to do this more systematically, we developed a schema of categories relevant for visual analytics research and evaluation. All these theories have strengths but also weaknesses in explaining interaction with visual analytics systems. A possibility to overcome the weaknesses would be to combine two or more of these theories.