TY  - JOUR
TI  - A Review and Characterization of Progressive Visual Analytics
AU  - Angelini, Marco
AU  - Santucci, Giuseppe
AU  - Schumann, Heidrun
AU  - Schulz, Hans-Jörg
T2  - Informatics
AB  - Progressive Visual Analytics (PVA) has gained increasing attention over the past years. It brings the user into the loop during otherwise long-running and non-transparent computations by producing intermediate partial results. These partial results can be shown to the user for early and continuous interaction with the emerging end result even while it is still being computed. Yet as clear-cut as this fundamental idea seems, the existing body of literature puts forth various interpretations and instantiations that have created a research domain of competing terms, various definitions, as well as long lists of practical requirements and design guidelines spread across different scientific communities. This makes it more and more difficult to get a succinct understanding of PVA’s principal concepts, let alone an overview of this increasingly diverging field. The review and discussion of PVA presented in this paper address these issues and provide (1) a literature collection on this topic, (2) a conceptual characterization of PVA, as well as (3) a consolidated set of practical recommendations for implementing and using PVA-based visual analytics solutions.
DA  - 2018///
PY  - 2018
DO  - 10.3390/informatics5030031
VL  - 5
IS  - 3
SP  - 31:1
EP  - 31:27
SN  - 2227-9709
ER  -