170,509 research outputs found

    Ko-Orientierung und Ko-Referenzierung in Augmented Reality basierter Kooperation

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    Schnier C. Ko-Orientierung und Ko-Referenzierung in Augmented Reality basierter Kooperation. Bielefeld: Universität Bielefeld; 2016

    Collaboration in Augmented Reality: Referring to objects as a practical problem

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    Schnier C, Pitsch K. Collaboration in Augmented Reality: Referring to objects as a practical problem. Presented at the Discourse - Communication - Conversation Conference, Loughborough, UK

    A nation-wide retrospective, data-linkage, cohort study of epilepsy and incident dementia - supplement

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    Supplement to publication in Neurology. The text file holds two lists of codes used in electronic health records (hospital admission, death (ICD 10) and GP admission (ReadV2)) to classify dementia (incl. subtypes) and epilepsy

    Adaptability of Communicative Resources in AR-based Cooperation

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    Schnier C, Pitsch K, Dierker A, Hermann T. Adaptability of Communicative Resources in AR-based Cooperation. In: Proceedings of the 2nd Workshop on Gesture and Speech in Interaction (GESPIN 2011). 2011.We present an initial investigation from a semi-experimental setting, in which an Augmented Reality (AR) system, based on Head Mounted Displays (HMD), has been used for real- time collaboration in a task-oriented scenario (design of a museum exhibition). While allowing for a range of technical augmentations, the setting also restricts – due to the wear of HMDs – the participants’ ‘natural’ communicational resources. Our analysis reveals that – under these particular conditions – some everyday strategies of establishing co- orientation with the co-participant turn out to be not functional for the participants. At the same time, we find that some participants change their referencing strategies to overcome system-based limitations and to develop a – under these particular conditions – more efficient method in orienting the co-participant to specific objects or to the interaction situation itself: Participants transform their individual deictic gestures on several objects into other forms of gestural activities like for example the lifting or the tilting of an object. These particular changes in object trajectory are done in order to orientate the co-participants and establish joint attention. Furthermore, gestural referencing seems to be highly variable and contextual, if important interactional resources are artificially reduced

    Automatic detection of motion sequences for motion analysis

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    Brüning B-A, Schnier C, Pitsch K, Wachsmuth S. Automatic detection of motion sequences for motion analysis. In: Heylen D, Paggio P, Kipp M, eds. Proceedings of the ICMI Workshop on Multimodal Corpora for Machine Learning: Taking Stock and Roadmapping the Future. 2011.In order to understand and model the non-verbal communicative behavior of humans, qualitative techniques, such as Conversation Analysis, and quantitative techniques, such as 3D motion capturing, need to be combined. Although there has been some recent progress in annotation tools like ELAN or Anvil, there is still a lack of appropriate tool support that enables a concise simultaneous access to both types of data and that shows the relationship between them. Within this work, we present a pre- annotation tool that takes the results from off-the-shelf optical tracking systems, automatically fits an articulated skeleton model, and detects motion segments of individual joints. A sophisticated user interface easily allows the annotating person to find correlations between different joints, analyze the corresponding 3D pose in a reconstructed virtual environment, and to export combined qualitative and quantitative annotations to standard annotation tools. Using this technique we are able to examine complex setups with three persons in tight conversion or largely unconstrained engagement situations of humans and robots

    Dealing with fractured ecologies in AR-based cooperation

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    Pitsch K, Schnier C, Dierker A, Hermann T. Dealing with fractured ecologies in AR-based cooperation. Presented at the 12th International Pragmatics Conference (IPRA 2011), Manchester, UK

    Alignment in AR-based Cooperation

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    Schnier C, Dierker A, Pitsch K, Hermann T. Alignment in AR-based Cooperation. Presented at the Exploring Collaboration with Shareable Interfaces Workshop, Brighton, UK

    Dealing with fractured ecologies in Augmented Reality-based cooperation

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    Schnier C, Pitsch K, Dierker A, Hermann T. Dealing with fractured ecologies in Augmented Reality-based cooperation. Presented at the Conference of the International Institute For Ethnomethodology and Conversation Analysis (IIEMCA), Fribourg, Switzerland

    Collaboration in Augmented Reality: How to establish coordination and joint attention?

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    Schnier C, Pitsch K, Dierker A, Hermann T. Collaboration in Augmented Reality: How to establish coordination and joint attention? In: Boedker S, Bouvin NO, Lutters W, Wulf V, Ciolfi L, eds. Proceedings of the 12th European Conference on Computer Supported Cooperative Work (ECSCW 2011). Springer-Verlag London; 2011: 405-416.We present an initial investigation from a semi-experimental setting, in which an HMD-based AR-system has been used for real-time collaboration in a task-oriented scenario (design of a museum exhibition). Analysis points out the specific conditions of interacting in an AR environment and focuses on one particular practical problem for the participants in coordinating their interaction: how to establish joint attention towards the same object or referent. Analysis allows insights into how the pair of users begins to familarize with the environment, the limitations and opportunities of the setting and how they establish new routines for e.g. solving the ʻjoint attentionʼ-problem

    Alignment und Joint Attention in Augmented Reality

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    Schnier C, Pitsch K, Dierker A, Hermann T. Alignment und Joint Attention in Augmented Reality. In: Deppermann A, Spranz-Fogasy T, eds. 15. Arbeitstagung zur Gesprächsforschung. Kognition in Interaktion. 2011: 34
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