Aigner, R., Pointner, A., Haller, M., & Michahelles, F. (2025). sqid: A Multipurpose Virtualization Tool, Streamlining Setups for UbiComp Research. IEEE Pervasive Computing, 1–10. https://doi.org/10.1109/MPRV.2025.3627401
E193-04 - Forschungsbereich Artifact-based Computing & User Research
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Journal:
IEEE Pervasive Computing
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ISSN:
1536-1268
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Date (published):
2025
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Number of Pages:
10
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Publisher:
IEEE COMPUTER SOC
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Peer reviewed:
Yes
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Keywords:
Data Processing; Data Visualization; Sensor Data; Modularity; Interaction Design; Data Processing Pipeline; Visual Programming; Third-party Software; Programming Paradigm; Raw Data; Prototype; Operating System; Flow Data; Interoperability; Agility; Arduino; Debugging; Bluetooth; Point Cloud Data; Stages Of Acquisition; Specific Use Case; Gesture Recognition; Licensing Fees; Simulink; JavaScript; Accessible Interface; Raw Sensor Data
en
Abstract:
Frequently, pervasive computing research involves numerous distributed and interconnected components that must work in concert. Setting up the required technical backbone is often demanding, time-consuming, tedious, and repetitive. Existing tools for developing, testing, and tuning data-processing pipelines to extract high-level control data from low-level sensor data rely on specialized interfaces that are nontransparent, complicated, and inflexible, requiring specific personnel, such as programmers, which limits accessibility for specialists in other related fields, such as interaction designers. To address these challenges, we present a virtualization platform for data processing, transfer, and relaying. By coupling the visual programming paradigm with coherent data visualization and a network-based architecture, it facilitates adaptability and modularity, and is also compatible with a variety of hardware devices and third-party software.
