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  • Ute Schmid (10)
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  • 2012 (9)
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Show/Hide Abstract Visibility in Information Spaces and in Geographic Environments. Post-Proceedings of the KI'11 Workshop (October 4th, 2011, TU Berlin, Germany) (2011)
Andreas Henrich Christoph Schlieder Ute Schmid Inessa Seifert Bertram Saendig Dominik Kremer Peter Grossman Markus Wachter Marius Raab Claus-Christian Carbon Stella J. Faerber
In the post-proceedings of the Workshop "Visibility in Information Spaces and in Geographic Environments" a selection of research papers is presented where the topic of visibility is addressed in different contexts. Visibility governs information selection in geographic environments as well as in information spaces and in cognition. The users of social media navigate in information spaces and at the same time, as embodied agents, they move in geographic environments. Both activities follow a similar type of information economy in which decisions by individuals or groups require a highly selective filtering to avoid information overload. In this context, visibility refers to the fact that in social processes some actors, topics or places are more salient than others. Formal notions of visibility include the centrality measures from social network analysis or the plethora of web page ranking methods. Recently, comparable approaches have been proposed to analyse activities in geographic environments: Place Rank, for instance, describes the social visibility of urban places based on the temporal sequence of tourist visit patterns. The workshop aimed to bring together researchers from AI, Geographic Information Science, Cognitive Science, and other disciplines who are interested in understanding how the different forms of visibility in information spaces and geographic environments relate to one another and how the results from basic research can be used to improve spatial search engines, geo-recommender systems or location-based social networks.
Analogical Problem Solving: Insights from Verbal Reports (2012)
Linn Gralla Thora Tenbrink Michael Siebers Ute Schmid
Matchmaking: How similar is what I want to what I get? (2012)
Michael Munz Klaus Stein Martin Sticht Ute Schmid
A Cognitive Model For Predicting Aesthetical Judgements As Similarity to Dynamic Prototypes (2012)
Ute Schmid Michael Siebers Johannes Folger Simone Schineller Dominik Seuss Marius Raab Claus-Christian Carbon Stella J. Faerber
Applying Grammar Inference To Identify Generalized Patterns of Facial Expressions of Pain (2012)
Ute Schmid Michael Siebers Dominik Seuß Miriam Kunz Stefan Lautenbacher
Comparing Automated Pain Classifiers with Human Performance (2012)
Johannes Folger Michael Siebers Miriam Kunz Stefan Lautenbacher Ute Schmid
Implicit and explicit learning of artificial grammars from letter strings, visual, and visual-motor patterns (2012)
Jaqueline Hofmann Tobias Kaiser Ute Schmid
From Streams of Observations to Knowledge-Level Productive Predictions (2013)
Mark Wernsdorfer Ute Schmid
Modelling Adaptation Effects as Similarity to Dynamic Prototypes (2012)
Michael Siebers Johannes Folger Simone Schineller Dominik Seuß Stella Faerber Ute Schmid
Semi-Analytic Natural Number Series Induction (2012)
Michael Siebers Ute Schmid

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