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ACM Transactions on Interactive Intelligent Systems (TiiS) - Special Issue on Interactive Computational Visual Analytics, Volume 4 Issue 1, April 2014

PromotionRank: Ranking and Recommending Grocery Product Promotions Using Personal Shopping Lists
Petteri Nurmi, Antti Salovaara, Andreas Forsblom, Fabian Bohnert, Patrik Floréen
Article No.: 1
DOI: 10.1145/2584249

We present PromotionRank, a technique for generating a personalized ranking of grocery product promotions based on the contents of the customer’s personal shopping list. PromotionRank consists of four phases. First, information retrieval...

Experiments with Mobile Drama in an Instrumented Museum for Inducing Conversation in Small Groups
Charles Callaway, Oliviero Stock, Elyon Dekoven
Article No.: 2
DOI: 10.1145/2584250

Small groups can have a better museum visit when that visit is both a social and an educational occasion. The unmediated discussion that often ensues during a shared cultural experience, especially when it is with a small group whose members...

Introduction to the Special Issue on Interactive Computational Visual Analytics
Remco Chang, David S. Ebert, Daniel Keim
Article No.: 3
DOI: 10.1145/2594648

This editorial introduction describes the aims and scope of ACM Transactions on Interactive Intelligent Systems's special issue on interactive computational visual analytics. It explains why visual analytics is crucial to the growing needs...

Interactive Statistics with Illmo
Jean-Bernard Martens
Article No.: 4
DOI: 10.1145/2509108

Progress in empirical research relies on adequate statistical analysis and reporting. This article proposes an alternative approach to statistical modeling that is based on an old but mostly forgotten idea, namely Thurstone modeling. Traditional...

Evaluation of Normal Model Visualization for Anomaly Detection in Maritime Traffic
Maria Riveiro
Article No.: 5
DOI: 10.1145/2591511

Monitoring dynamic objects in surveillance applications is normally a demanding activity for operators, not only because of the complexity and high dimensionality of the data but also because of other factors like time constraints and uncertainty....

Employing a Parametric Model for Analytic Provenance
Yingjie Victor Chen, Zhenyu Cheryl Qian, Robert Woodbury, John Dill, Chris D. Shaw
Article No.: 6
DOI: 10.1145/2591510

We introduce a propagation-based parametric symbolic model approach to supporting analytic provenance. This approach combines a script language to capture and encode the analytic process and a parametrically controlled symbolic model to represent...

Regression Cube: A Technique for Multidimensional Visual Exploration and Interactive Pattern Finding
Yu-Hsuan Chan, Carlos D. Correa, Kwan-Liu Ma
Article No.: 7
DOI: 10.1145/2590349

Scatterplots are commonly used to visualize multidimensional data; however, 2D projections of data offer limited understanding of the high-dimensional interactions between data points. We introduce an interactive 3D extension of scatterplots...