ARCS - Conference on Architecture of Computing Systems

Permanent URI for this communityhttps://dl.gi.de/handle/20.500.12116/29354

Authors with most Documents  

Browse

Search Results

1 - 3 of 3
  • Conference Paper
    Towards integration of user interaction and context event processing in intelligent living environments
    (Gesellschaft für Informatik e.V., 2012) Lehmann, Simon; Schäfer, Jan; Dörner, Ralf; Schwanecke, Ulrich; Mühl, Gero; Richling, Jan; Herkersdorf, Andreas
    Event processing plays a significant role in the current development of intelligent living environments. It ranges from processing of information produced by a magnitude of sensors to gain insight into the activities of the inhabitants on a more global scale, to the processing of immediate and rather short-lived events of user input on and around interactive systems embedded in common household furniture like tabletops or tablets. Based on the work conducted separately in those two fields, we found that the still evolving field of complex event processing (CEP) provides the methods and tools to handle those distinct use-cases equally. Especially the application to interactive systems, while being novel and uncommon, is well suited and further shows the broad applicability of CEP. The comparison of the two application fields shows that, even though the events occurring in them are distinguished by their intention, commonalities do exist and provide integration points. Furthermore, the integration of those applications within the context of smart homes allows to provide demand-oriented resource management, which realizes self adaptation and control.
  • Conference Paper
    Goal-snapping: an empirical evaluation of object snapping in tangible and multi-touch interfaces
    (Gesellschaft für Informatik e.V., 2012) Schmitt, Sebastian; Luderschmidt, Johannes; Haubner, Nadia; Lehmann, Simon; Dörner, Ralf; Schwanecke, Ulrich; Mühl, Gero; Richling, Jan; Herkersdorf, Andreas
    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.
  • Conference Paper
    Towards a top-view detection of body parts in an interactive tabletop environment
    (Gesellschaft für Informatik e.V., 2012) Haubner, Nadia; Schwanecke, Ulrich; Dörner, Ralf; Lehmann, Simon; Luderschmidt, Johannes; Mühl, Gero; Richling, Jan; Herkersdorf, Andreas
    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.