Low-Level Components of Analytic Activity in Information Visualization

@inproceedings{citeulike:687669, abstract = {Existing system-level taxonomies of visualization tasks are geared more towards the design of particular representations than the facilitation of user analytic activity. We present a set of ten low-level analysis tasks that largely capture people’s activities while employing information visualization tools for understanding data. To help develop these tasks, we collected nearly 200 sample questions from students about how they would analyze five particular data sets from different domains. The questions, while not being totally comprehensive, illustrated the sheer variety of analytic questions typically posed by users when employing information visualization systems. We hope that the presented set of tasks is useful for information visualization system designers as a kind of common substrate to discuss the relative analytic capabilities of the systems. Further, the tasks may provide a form of checklist for system designers.}, author = {Amar, Robert and Eagan, James and Stasko, John }, booktitle = {2005 IEEE Symposium on Information Visualization (INFOVIS'05)}, citeulike-article-id = {687669}, keywords = {activity, analytic, design, discovery, evaluation, knowledge, taxonomy}, pages = {15+}, posted-at = {2006-06-07 01:14:30}, priority = {4}, title = {Low-Level Components of Analytic Activity in Information Visualization}, url = {http://doi.ieeecomputersociety.org/10.1109/INFOVIS.2005.24}, year = {2005} }

TY - CONF ID - citeulike:687669 L3 - citeulike-article-id:687669 TI - Low-Level Components of Analytic Activity in Information Visualization T2 - 2005 IEEE Symposium on Information Visualization (INFOVIS'05) SP - 15 N2 - Existing system-level taxonomies of visualization tasks are geared more towards the design of particular representations than the facilitation of user analytic activity. We present a set of ten low-level analysis tasks that largely capture people’s activities while employing information visualization tools for understanding data. To help develop these tasks, we collected nearly 200 sample questions from students about how they would analyze five particular data sets from different domains. The questions, while not being totally comprehensive, illustrated the sheer variety of analytic questions typically posed by users when employing information visualization systems. We hope that the presented set of tasks is useful for information visualization system designers as a kind of common substrate to discuss the relative analytic capabilities of the systems. Further, the tasks may provide a form of checklist for system designers. KW - activity KW - analytic KW - design KW - discovery KW - evaluation KW - knowledge KW - taxonomy AU - Amar, Robert AU - Eagan, James AU - Stasko, John PY - 2005/// UR - http://doi.ieeecomputersociety.org/10.1109/INFOVIS.2005.24 ER -