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Auflistung nach Autor:in "Mattar, Nikita"

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  • Konferenzbeitrag
    Benefits of Locating Overt Visual Attention in Space Using Binocular Eye Tracking for Mixed Reality Applications
    (Workshop-Proceedings der Tagung Mensch & Computer 2009, 2009) Pfeiffer, Thies; Mattar, Nikita
    The ”Where?” is quite important for Mixed Reality applications: Where is the user looking at? Where should augmentations be displayed? The location of the overt visual attention of the user can be used both to disambiguate referent objects and to inform an intelligent view management of the user interface. While the vertical and horizontal orientation of attention is quite commonly used, e.g. derived from the orientation of the head, only knowledge about the distance allows for an intrinsic measurement of the location of the attention. This contribution reviews our latest results on detecting the location of attention in 3D space using binocular eye tracking.
  • Konferenzbeitrag
    Interactive Human-Guided Optimization for Logistics Planning
    (Mensch und Computer 2015 – Proceedings, 2015) Mattar, Nikita; Kulms, Philipp; Kopp, Stefan
    Logistics planning is an important problem in industry, where goods have to be parceled appropriately to meet delivery dates or reduce shipping costs. This optimization problem is classically solved offline using standard algorithms and focused heuristics, e.g. bin packing or route planning. However, in practical work environments, constraints may change flexibly and it is often not clear what an optimal solution looks like. Further, logistics planning consists of multiple steps that often are handled by different human employees in different departments. In this paper we propose an interactive approach using human-guided optimization, where solution spaces can be interactively explored, manipulated, and constrained at runtime. Based on an analysis of the problem of multi-step logistics planning, we present a system that supports users in solving this optimization problem, and we report first evaluation results obtained in the first two iterations of a user-centered design process.