Exploring individual user differences in the 2D/3D interaction with medical image data

User-centered design is often performed without regard to individual user differences. In this paper, we report results of an empirical study aimed to evaluate whether computer experience and demographic user characteristics would have an effect on the way people interact with the visualized medical data in a 3D virtual environment using 2D and 3D input devices. We analyzed the interaction through performance data, questionnaires and observations. The results suggest that differences in gender, age and game experience have an effect on people’s behavior and task performance, as well as on subjective\ud user preferences

Service-oriented visualization applied to medical data analysis

With the era of Grid computing, data driven experiments and simulations have become very advanced and complicated. To allow specialists from various domains to deal with large datasets, aside from developing efficient extraction techniques, it is necessary to have available computational facilities to visualize and interact with the results of an extraction process. Having this in mind, we developed an Interactive Visualization Framework, which supports a service-oriented architecture. This framework allows, on one hand visualization experts to construct visualizations to view and interact with large datasets, and on the other hand end-users (e.g., medical specialists) to explore these visualizations irrespective of their geographical location and available computing resources. The image-based analysis of vascular disorders served as a case study for this project. The paper presents main research findings and reports on the current implementation status

The Resource Identification Initiative: A cultural shift in publishing

A central tenet in support of research reproducibility is the ability to uniquely identify research resources, i.e., reagents, tools, and materials that are used to perform experiments. However, current reporting practices for research resources are insufficient to allow humans and algorithms to identify the exact resources that are reported or answer basic questions such as What other studies used resource X? To address this issue, the Resource Identification Initiative was launched as a pilot project to improve the reporting standards for research resources in the methods sections of papers and thereby improve identifiability and reproducibility. The pilot engaged over 25 biomedical journal editors from most major publishers, as well as scientists and funding officials. Authors were asked to include Research Resource Identifiers (RRIDs) in their manuscripts prior to publication for three resource types: antibodies, model organisms, and tools (including software and databases). RRIDs represent accession numbers assigned by an authoritative database, e.g., the model organism databases, for each type of resource. To make it easier for authors to obtain RRIDs, resources were aggregated from the appropriate databases and their RRIDs made available in a central web portal ( www.scicrunch.org/resources). RRIDs meet three key criteria: they are machine readable, free to generate and access, and are consistent across publishers and journals. The pilot was launched in February of 2014 and over 300 papers have appeared that report RRIDs. The number of journals participating has expanded from the original 25 to more than 40. Here, we present an overview of the pilot project and its outcomes to date. We show that authors are generally accurate in performing the task of identifying resources and supportive of the goals of the project. We also show that identifiability of the resources pre- and post-pilot showed a dramatic improvement for all three resource types, suggesting that the project has had a significant impact on reproducibility relating to research resources

Towards service-based interactive visualization

Abstract. The goal of interactive visualisation is not only to provide users with a possibility to view data and modify presentation parameters but also to permit them using interaction techniques for the interrogation and navigation through datasets and communication these insights with others. The data explosion has led to very large detailed datasets and the amount of details in them continues growing at explosive rates. Therefore, aside from developing efficient extraction techniques to act on datasets, it is necessary to have available computational facilities to visualize the results of the extraction process. Having this in mind we concentrate our efforts on the development of an ambitious project aimed at building a service-based interactive visualization framework to allow, on one hand visualization experts to construct visualizations for endusers, and on the other hand end-users to exploit visualization functionalities irrespective of their geographical location, available computational resources and interaction-visualization front-ends. 1

DATA LIGHTHOUSE: a service for Research Institutes to proactively engage with their researchers in the RDM space

RDAP 2017 poste

Bringing combined interaction to a problem solving environment for vascular reconstruction

The paper addresses the problem of how to make a human–computer interaction user-friendlier within a problem solving environment (PSE). Pre-operative planning of a vascular reconstruction procedure is a case study for this research. The Virtual Radiology Explorer (VRE) presented in the paper has being deployed for the virtual reality (VR) and desktop projection modalities. Both projection modalities have been compared in respect to the interaction capabilities provided to the potential users of the VRE. The heuristic usability evaluation of the VRE as well as the first results of user profiling show that the combination of VR and desktop within the same interaction–visualisation medium could help to satisfy the wider range of the VRE users. A Personal Space Station (PSS) is a possible solution for the implementation of this concept