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Virtual Reality (VR) is a promising technology platform for immersive visual analytics. However, the design space of VR analytics interface design is vast and difficult to explore using traditional A/B comparisons in controlled experiments. One factor that complicates such comparisons is the dataset. Exposing participants to the same dataset in all conditions introduces a learning effect. On the other hand, using different datasets for all experimental conditions introduces the dataset as an uncontrolled variable. In this paper we propose to rectify this by introducing a generative process for synthesizing clustered datasets for VR analytics experiments. This process generates datasets that are distinct while simultaneously allowing systematic comparisons in experiments. In addition, these datasets can also be used in an iterative design process. In a two-part experiment we demonstrate the validity of the process and demonstrate how new insights in VR-based visual analytics can be gained using synthetic datasets. Here, we are providing the Python scripts used to generate the datasets used in the above study as well as the six datasets (A, B, C, D, E, F) themselves.

Source code for the VIA tool used to analyse applications. Please see README file for details

This work was supported by the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No.~642774 (ETN-COLLDENSE). This dataset includes source code and input files for running all simulations presented in the associated paper, and all final datasets used in producing the figures.

ReactiveMP v4.2.0 Diff since v4.1.2 Merged pull requests: Allow functional form constraints that are not sub-typed from AbstractFormConstraint (#403) (@bvdmitri)

Quantum Key Distribution (QKD) hardware provides cryptographic keys that can be used to secure confidential data. This software allows to request keys exchanged using QKD from QKD hardware or a Key Management System by following the ETSI GS QKD 014 standard. It is then up to the user of this library to use these keys to encrypt data. This software can be used as a command-line program or as a library from either Rust or C code.

User interfaces are crucial for easy travel. To understand user preferences for travel information during automated shuttle rides, we conducted an online survey with 51 participants from 8 countries. The survey focused on the information passengers wish to access and their preferences for using mobile, private, and public screens during boarding and travelling on the bus. It also gathered opinions on the usage of Near-Field Communication (NFC) for shuttle bus confirmation and viewing assistance to help passengers stand precisely where the shuttle will arrive, overcoming navigation and language barriers. Results showed that 72.6% of participants indicated a need for NFC and 82.4% for viewing assistance. There was a strong correlation between preferences for shuttle bus schedules, route details (r=0.55), and next-stop information (r=0.57) on mobile screens, suggesting that passengers who value one type of information are likely to value related kinds too.

This is a repository of input files, executable codes, output files and post-processing scripts required to re-produce the results and figures for the paper "Modelling Particle Mass and Particle Number Emissions during the Active Regeneration of Diesel Particulate Filters".