1,721,322 research outputs found
CoMoRea 2011: 8th IEEE workshop on Context Modeling and Reasoning - Committees and welcome
CoMoRea 2013: 10th IEEE workshop on context modeling and reasoning 2013-committees and welcome : ssage from CoMoRea 2013 co-chairs
Towards Understanding Mobility in Museums
Data mining techniques can provide valuable insight to understand mobility in museums. However, the results of such techniques might not be easily understood by the museum staff. In this paper, we propose a graph-based approach to model museum exhibitions, sensor locations, and guiding tasks. We further discuss how route-based trajectory mining can be adapted to work with this graph model and which challenges need to be addressed to cope with the graph dynamics and the continuous flow of sensor data. Based on the demands of two target groups, curators and visitors, three applications are proposed: a museum graph editor, a mobile museum guide, and a curator decision support. We propose an architecture for a platform that provides context information and data mining results to such applications. We claim that our proposed platform can cover many aspects and demands that arise in the museum environment today
ACOMORE'14: The first symposium on activity and context modeling and recognition, 2014 - Welcome and committees
Data Mining von multidimensionalen Qualitätsdaten aus einer computerintegrierten industriellen Fertigung zur visuellen Analyse von komplexen Wirkzusammenhängen
Evoking gesture in interactive art
In this paper, we describe an interactive artwork that uses large body gestures as its primary interactive mode. The artist intends the work to provoke active reflection in the audience by way of gesture and content. The technology is not the focus, rather the aim is to provoke memory, to elicit feelings of connective human experiences in a required-to-participate audience. We find the work provokes a diverse and contradictory set of responses. The methods used to understand this include qualitative methods common to evaluating interactive art works, as well as in-depth discussions with the artist herself. This paper is relevant to the Human - Centered Computing track because in all stages of the design of the work - as well as the evaluation - the focus is on the human aspect; the computing is designed to enable all-too-human responses
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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