Joel Lanir

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Julita Vassileva

University of Saskatchewan

Sebastián Ventura

Universidad de Córdoba

Naim Kapucu

University of Central Florida

David Seamon

Kansas State University

Armando Marques-Guedes

UNL - New University of Lisbon

Noe Cornago

University of the Basque Country, Euskal Herriko Unibertsitatea

Gary Feinman

Field Museum

Fatiha Djemili Tolba

Badji Mokhtar - Annaba University

Johannes Preiser-Kapeller

Austrian Academy of Sciences

Lev Manovich

Graduate Center of the City University of New York

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Papers by Joel Lanir

Composite Indicators Visualization: Exploration of Multivariate Temporal Changes using Radial Visualization

We present a work in progress on visualization of a popular Measurement and Benchmarking method, ... more We present a work in progress on visualization of a popular Measurement and Benchmarking method, namely Composite Indicators (CIs). Composite indicators are increasingly recognized as an important tool in policy analysis and public communication and are often used to reflect performances of different units (e.g., countries, regions or organizations). Existing CI visualizations introduce a variety of solutions for the complex challenge of presenting multi-dimensional, time-oriented hierarchic data. Radial visualizations are popular among these solutions because of CI’s multi-dimensionality, although different coding is in use. In our work, we aim to shed light on radial presentations for multivariate temporal changes, hoping to produce relevant guidelines for CI visualizations. We introduce some radial design options with static and dynamic time coding, as we explore the design space. In future work, we plan to formally implement, and deploy selected designs.

<title>Analyzing target detection performance with multispectral fused images</title>

Applications of Digital Image Processing XXIX, 2006

With the advance in multispectral imaging, the use of image fusion has emerged as a new and impor... more With the advance in multispectral imaging, the use of image fusion has emerged as a new and important research area. Many studies have considered the advantages of specific fusion methods over the individual input bands in terms of human performance, yet few comparison studies have been conducted to determine which fusion method is preferable to another. This paper examines four different fusion methods, and compares human performance of observers viewing fused images in a target detection task. In the presented experiment, we implemented an approach that has not been generally used in the context of image fusion evaluation: we used the paired comparison technique to qualitatively assess and scale the subjective value of the fusion methods. Results indicated that the false color and average methods showed the best results.

The Design of Presentation tools for Multiple and Large Interactive Displays in Classrooms

A paradigm for classroom presentations on large, high-resolution displays

Impact of Multispectral Image Fusion Methods on Visual Search Behavior

2006 IEEE 24th Convention of Electrical & Electronics Engineers in Israel, 2006

Image fusion has gained importance in various target-based tasks with the advance of multispectra... more Image fusion has gained importance in various target-based tasks with the advance of multispectral imaging. In this study, we examine three different fusion methods by comparing human observers&amp;amp;#39; target detection performance with the resultant fused images. In the experiment reported here, participants&amp;amp;#39; eye movements were recorded as they searched for targets. We introduce a novel method to compensate for eye

Static reformulation: A user study of static hypertext for query-based reformulation

Proceedings of the 7th ACM/IEEE-CS joint …, 2007

Hypertext allows users to navigate between related materials in digital libraries. The most funda... more