Evaluation of gesture based interfaces for medical volume visualization tasks
| Autor: | Can Kirmizibayrak, John W. Philbeck, James K. Hahn, John L. Sibert, Nadezhda Radeva, Mike Wakid |
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| Rok vydání: | 2011 |
| Předmět: |
Computer science
business.industry Orientation (computer vision) Interface (computing) 05 social sciences Volume (computing) 020207 software engineering 02 engineering and technology Interaction technique Visualization Task (computing) Human–computer interaction Gesture recognition 0202 electrical engineering electronic engineering information engineering 0501 psychology and cognitive sciences Computer vision Artificial intelligence business 050107 human factors Gesture |
| Zdroj: | VRCAI |
| DOI: | 10.1145/2087756.2087764 |
| Popis: | Interactive systems are increasingly used in medical applications with the widespread availability of various imaging modalities. Gesture-based interfaces can be beneficial to interact with these kinds of systems in a variety of settings, as they can be easier to learn and can eliminate several shortcomings of traditional tactile systems, especially for surgical applications. We conducted two user studies that explore different gesture-based interfaces for interaction with volume visualizations. The first experiment focused on rotation tasks, where the performance of the gesture-based interface (using Microsoft Kinect) was compared to using the mouse. The second experiment studied localization of internal structures, comparing slice-based visualizations via gestures and the mouse, in addition to a 3D Magic Lens visualization. The results of the user studies showed that the gesture-based interface outperform the traditional mouse both in time and accuracy in the orientation matching task. The traditional mouse was the superior interface for the second experiment in terms of accuracy. However, the gesture-based Magic Lens interface was found to have the fastest target localization time. We discuss these findings and their further implications in the use of gesture-based interfaces in medical volume visualization, and discuss the possible underlying psychological mechanisms why these methods can outperform traditional interaction methods |
| Databáze: | OpenAIRE |
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