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Auflistung nach Autor:in "Haubner, Nadia"

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  • Konferenzbeitrag
    Goal-snapping: an empirical evaluation of object snapping in tangible and multi-touch interfaces
    (ARCS 2012 Workshops, 2012) Schmitt, Sebastian; Luderschmidt, Johannes; Haubner, Nadia; Lehmann, Simon; Dörner, Ralf; Schwanecke, Ulrich
    We present “Goal-snapping”, a novel approach for applying snapping techniques to tangible and multi-touch interfaces. It can be used to support users in accomplishing basic tasks such as aligning, sorting or grouping of virtual objects. As using snapping on large surfaces poses challenges in interaction design, we identify and discuss according parameters in Goal-snapping. For sorting and aligning, we propose to use snappers that attract objects within a target zone and visually arrange them to present an overview. For exchanging objects among users, we propose that each user has a target snapper that acts as a goal to which objects can be flicked. A user study has shown that although participants embrace the use of snapping to automatically group objects in a sorting task, snapping does not accelerate the completion time and increases the error rate by accidently snapped objects. In a long distance positioning task, the use of snapping significantly increases task completion.
  • Konferenzbeitrag
    Towards a top-view detection of body parts in an interactive tabletop environment
    (ARCS 2012 Workshops, 2012) Haubner, Nadia; Schwanecke, Ulrich; Dörner, Ralf; Lehmann, Simon; Luderschmidt, Johannes
    Integrating digital tabletop systems in private living environments is a promising approach to enhance people's everyday life with information technology. Apart from using the surface of such a tabletop, research on the detection of interaction above and around the surface is increasing rapidly. So far, detection is limited either to very specific gestures above the surface or to rather abstract detection of users in a larger scenario. The detection of body parts in tabletop setups has rarely been investigated, although the knowledge about the whereabouts of body parts would be helpful to establish relationships between users and interactions. In this paper, we propose a system that is capable to detect body parts above and around such a tabletop setup using a depth camera. We further take up an existing approach to present how the detection in this setup could work. Additionally, we propose a new approach to obtain training data for the detection using a color suit.