In most coordinated view geovisualization tools, a transient visual effect is used to highlight observations across views when brushed with a mouse or other input device. Most current geovisualization and information visualization systems use colored outlines or fills to highlight observations, but there remain a wide range of alternative visual strategies that can also be implemented and compared to color highlighting to evaluate user performance. This paper describes the results of an experiment designed to compare user performance with two highlighting methods; color and leader lines. Our study methodology uses eye-tracking to capture participant eye fixations while they answer questions that require attention to highlighted observations in multiple views. Our results show that participants extract information as efficiently from coordinated view displays that use leader line highlighting to link information as they do from those that use a specific color to highlight items. We also found no significant differences when changing the color of the highlighting effect from red to black. We conclude that leader lines show significant potential for use as an alternative highlighting method in coordinated multiple view visualizations, allowing color to be reserved for representing thematic attributes of data.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1109/TVCG.2014.2371858 | DOI Listing |
Nat Commun
January 2025
Department of Chemistry, University of Zurich, Zurich, Switzerland.
Comput Med Imaging Graph
December 2024
School of Optics and Photonics, Beijing Institute of Technology, Beijing, 100081, Beijing, PR China; Zhengzhou Research Institute, Beijing Institute of Technology, Zhengzhou, 450000, Henan, PR China. Electronic address:
In skull base surgery, the method of using a probe to draw or 3D scanners to acquire intraoperative facial point clouds for spatial registration presents several issues. Manual manipulation results in inefficiency and poor consistency. Traditional registration algorithms based on point clouds are highly dependent on the initial pose.
View Article and Find Full Text PDFJ Chem Phys
January 2025
Departamento de Química Física, Facultad de Ciencias Químicas, Universidad Complutense de Madrid, 28040 Madrid, Spain.
Rigid, non-polarizable water models are very efficient from a computational point of view, and some of them have a great ability in predicting experimental properties. There is, however, little room for improvement in simulating water with this strategy, whose main shortcoming is that water molecules do not change their interaction parameters in response to the local molecular landscape. In this work, we propose a novel modeling strategy that involves using two rigid non-polarizable models as states that water molecules can adopt depending on their molecular environment.
View Article and Find Full Text PDFBMJ Support Palliat Care
January 2025
Palliative Care, Oxford University Hospitals NHS Foundation Trust, Oxford, Oxfordshire, UK
Introduction: The National Audit of Care at the End of Life reports the quality of care provided to people dying in hospital. This paper reports the bereavement (quality) survey data about the families' view of care provided to the patient and support provided to the family.
Methods: Anonymised summary data were retrieved from 'Key findings for patients and carers on the quality of end of life care in acute and community hospitals' reports 2019-2022 and the summary report 2018.
Sensors (Basel)
December 2024
School of Aerospace and Mechanical Engineering, The University of Oklahoma, Norman, OK 73019, USA.
Autonomous vehicles (AVs) offer significant potential to improve safety, reduce emissions, and increase comfort, drawing substantial attention from both research and industry. A critical challenge in achieving SAE Level 5 autonomy, full automation, is path planning. Ongoing efforts in academia and industry are focused on optimizing AV path planning, reducing computational complexity, and enhancing safety.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!