International Journal of Human-Computer Interaction

Liu, Yan; Salvendy, Gavriel

doi: 10.1080/10447310609526169pmid: N/A

Association rules mining is a popular data mining modeling tool. It discovers interesting associations or correlation relationships among a large set of data items, showing attribute values that occur frequently together in a given dataset. Despite their great potential benefit, current association rules modeling tools are far from optimal. This article studies how visualization techniques can be applied to facilitate the association rules modeling process, particularly what visualization elements should be incorporated and how they can be displayed. Original designs for visualization of rules, integration of data and rule visualizations, and visualization of rule derivation process for supporting interactive visual association rules modeling are proposed in this research. Experimental results indicated that, compared to an automatic association rules modeling process, the proposed interactive visual association rules modeling can significantly improve the effectiveness of modeling, enhance understanding of the applied algorithm, and bring users greater satisfaction with the task. The proposed integration of data and rule visualizations can significantly facilitate understanding rules compared to their nonintegrated counterpart.

Kwon, Seong‐Jin; Chun, Jee‐Hoon; Bae, Jong‐Hyun; Suh, Myung‐Won

doi: 10.1080/10447310609526170pmid: N/A

The Virtual Reality (VR) system of a real‐time VR‐linked vehicle simulator that was used in this study provides visual information and sound effects to participants. The VR system of a VR‐linked vehicle simulator should provide a perceived velocity similar with the perceived velocity in actual driving. To achieve these goals, modeling and rendering methods that offer an improved performance for complex VR applications, such as the 3D road model, were implemented and evaluated. We also evaluated the influences of graphic and engine sound effects on the driver and analyzed each result according to a driver's viewpoint, the dot densities of road texture provided, the lateral distance between a virtual driver and environmental objects, and the engine sound. Each factor was individually analyzed through an experiment that evaluated the influence of visual images or sound effects in the vehicle simulator. Through the experimental evaluation, the research results could be used for improving the effectiveness of VR‐based vehicle simulators.

Nakatsu, Robbie T.; Benbasat, Izak

doi: 10.1080/10447310609526171pmid: N/A

This research empirically investigates the design choices that can be made to facilitate problem solving when intelligent systems fail. One way is to provide deep explanations, which are explanations that justify system actions. Another way is to manipulate system restrictiveness of the user interface. An experiment was conducted to investigate the effectiveness of deep explanation support, as well as manipulations of system restrictiveness. Results suggest that the less restrictive system was more effective for problem‐solving situations where system failure occurred. In addition, deep explanations were found to be somewhat helpful in system understanding, and this, in turn, led to improved problem‐solving performance.

Lam, Heidi; Kirkpatrick, Arthur E.; Dill, John; Atkins, M. Stella

doi: 10.1080/10447310609526172pmid: N/A

Two studies evaluated linear and hierarchy+elision small‐screen display formats for clinical reasoning tasks. A controlled, quantitative study with 28 medically naive participants using a task abstracted from clinical use of laboratory results found that both display formats supported rapid and accurate decision making. Distribution of the search targets significantly affected speed, with decisions in linear format made 13% faster (4.7 sec) when all targets could be viewed on a single screen than when targets required scrolling between several screens and in hierarchical format 15% faster (5.1 sec) when all the targets were confined within one category. Performance was equivalent regardless of the relative order of the target results and data in the laboratory report. In a qualitative study, 7 physicians used the displays to perform a realistic diagnosis. Physicians were comfortable with both display formats, but preference varied with clinical experience. The 5 less experienced clinicians favored hierarchy+elision, whereas the 2 highly experienced clinicians tended to prefer the linear display.

Inkpen, Kori; Dearman, David; Argue, Ritchie; Comeau, Marc; Fu, Ching‐Lung; Kolli, Sekhar; Moses, Jeremy; Pilon, Nick; Wallace, James

doi: 10.1080/10447310609526173pmid: N/A

The effectiveness of interaction with mobile devices can be impacted by handedness; however, support for handedness in the interface is rarely provided. The goal of this article is to demonstrate that handedness is a significant interface consideration that should not be overlooked. Four studies were conducted to explore left‐handed user interaction with right‐ or left‐aligned scrollbars on personal digital assistants. Analysis of the data shows that left‐handed users are able to select targets significantly faster using a left‐aligned scrollbar when compared to a right‐aligned scrollbar. User feedback also indicated that a left‐aligned scrollbar was preferred by left‐handed users and provided more natural interaction.

Nakatsu, Robbie T.

doi: 10.1080/10447310609526174pmid: N/A

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