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Auflistung nach Schlagwort "Visual analytics"

1 - 3 von 3
  • Textdokument
    Analysis and Comparison of the Gaze Behavior of E-Scooter Drivers and Cyclists
    (INFORMATIK 2020, 2021) Trefzger, Mathias; Titov, Waldemar; Schlegel, Thomas
    In this paper, we contribute an eye tracking study to evaluate the gaze behavior of e-scooter drivers and cyclists on high and low quality road surfaces. We recorded the surface quality with sensors and put the different surfaces in relation to the gaze behavior. We recorded eye movements of the participants and performed an Area of Interest (AOI) sequence analysis to identify gaze patterns. Found sequences show that on the high quality surface participants focused most commonly the distant road section and then shifted to nearer sections. Individual advantageous gaze sequences are omitted if the surface is poor. We found a significant difference in the attention distribution of the two means of transport. In addition, we can confirm previous results showing that low quality road surfaces cause the gaze to shift forward. However, the participants did not adapt their speed to the worse surface.
  • Zeitschriftenartikel
    Interactive Reputation Systems - How to Cope with Malicious Behavior in Feedback Mechanisms
    (Business & Information Systems Engineering: Vol. 60, No. 4, 2018) Sänger, Johannes; Pernul, Günther
    Early reputation systems use simple computation metrics that can easily be manipulated by malicious actors. Advanced computation models that mitigate their weaknesses, however, are non-transparent to the end-users thus lowering their understandability and the users’ trust towards the reputation system. The paper proposes the concept of interactive reputation systems that combine the cognitive capabilities of the user with the advantages of robust metrics while preserving the system’s transparency. Results of the evaluation show that interactive reputation systems increase both the users’ detection ability (robustness) and understanding of malicious behavior while avoiding trade-offs in usability.
  • Zeitschriftenartikel
    Machine learning meets visualization – Experiences and lessons learned
    (it - Information Technology: Vol. 64, No. 4-5, 2022) Quang Ngo, Quynh; Dennig, Frederik L.; Keim,; Sedlmair, Michael
    In this article, we discuss how Visualization (VIS) with Machine Learning (ML) could mutually benefit from each other. We do so through the lens of our own experience working at this intersection for the last decade. Particularly we focus on describing how VIS supports explaining ML models and aids ML-based Dimensionality Reduction techniques in solving tasks such as parameter space analysis. In the other direction, we discuss approaches showing how ML helps improve VIS, such as applying ML-based automation to improve visualization design. Based on the examples and our own perspective, we describe a number of open research challenges that we frequently encountered in our endeavors to combine ML and VIS.