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Auflistung nach Autor:in "Rukzio, Enrico"

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  • Konferenzbeitrag
    Behind the Screens: Exploring Eye Movement Visualization to Optimize Online Teaching and Learning
    (Mensch und Computer 2023 - Tagungsband, 2023) Sauter, Marian; Wagner, Tobias; Hirzle, Teresa; Lin, Bao Xin; Rukzio, Enrico; Huckauf, Anke
    The effective delivery of e-learning relies on the continuous monitoring and management of students' attention. While instructors in traditional classroom settings can readily assess crowd attention through gaze cues, these cues are largely unavailable in online learning environments. To address this challenge and highlight the significance of our study, we collected eye movement data from twenty students and developed four visualization methods: (a) a heat map, (b) an ellipse map, (c) two moving bars, and (d) one vertical bar, which were overlaid on 13 instructional videos. Our findings revealed unexpected preferences among instructors. Contrary to expectations, they did not favor the established heat map and vertical bar for live online teaching. Instead, they opted for the less intrusive ellipse visualization. Despite this, the heat map remained the preferred choice for retrospective analyses due to its more detailed information. Importantly, all visualizations were deemed useful and contributed to re-establishing emotional connections in online learning. In conclusion, our innovative visualizations of crowd attention demonstrate considerable potential for a broad range of applications, extending beyond e-learning to encompass all online presentations and retrospective analyses. The significant outcomes of our study underscore the crucial role these visualizations will play in enhancing both the effectiveness and emotional connectedness of future e-learning experiences, thereby facilitating the educational landscape.
  • Zeitschriftenartikel
    How Companion-Technology can Enhance a Multi-Screen Television Experience: A Test Bed for Adaptive Multimodal Interaction in Domestic Environments
    (KI - Künstliche Intelligenz: Vol. 30, No. 1, 2016) Gugenheimer, Jan; Honold, Frank; Wolf, Dennis; Schüssel, Felix; Seifert, Julian; Weber, Michael; Rukzio, Enrico
    This article deals with a novel multi-screen interactive TV setup (smarTVision) and its enhancement through Companion-Technology. Due to their flexibility and the variety of interaction options, such multi-screen scenarios are hardly intuitive for the user. While research known so far focuses on technology and features, the user itself is often not considered adequately. Companion-Technology has the potential of making such interfaces really user-friendly. Building upon smarTVision, it’s extension via concepts of Companion-Technology is envisioned. This combination represents a versatile test bed that not only can be used for evaluating usefulness of Companion-Technology in a TV scenario, but can also serve to evaluate Companion-Systems in general.
  • Zeitschriftenartikel
    Projizierte tischbasierte Benutzungsschnittstellen
    (Informatik-Spektrum: Vol. 37, No. 5, 2014) Winkler, Christian; Rukzio, Enrico
  • Konferenzbeitrag
    UnitEye: Introducing a User-Friendly Plugin to Democratize Eye Tracking Technology in Unity Environments
    (Proceedings of Mensch und Computer 2024, 2024) Wagner, Tobias; Colley, Mark; Breckel, Daniel; Kösel, Michael; Rukzio, Enrico
    Eye tracking is a powerful tool for analyzing visual attention, as an input technique, or for diagnosing disorders. However, eye tracking hardware is expensive and not accessible to everyone, thus, considerably limiting real-world usage or at-home evaluations. Although webcam-based eye tracking is feasible due to advances in computer vision, its open-source implementation as an easy-to-use tool is lacking. We implemented UnitEye, a Unity plugin enabling eye tracking on desktop and laptop computers. In a technical evaluation (N=12), we tested the precision and accuracy of our system compared to a state-of-the-art eye tracker. We also evaluated the usability of UnitEye with N=5 developers. The results confirm that our system provides reliable eye tracking performance for a webcam-based system and well-integrated features contributing to ease of use.