Data management in the asylum procedure in Germany: Study by EMN Germany for the European Migration Network

Die EMN-Studie thematisiert, wann welche Daten von welcher Behörde im Asylverfahren erfasst und in welchen Datenbanken zu welchem Zweck gespeichert werden. Zudem werden wichtige datenschutzrechtliche und datenqualitätssichernde Maßnahmen beschrieben. Daten von Asylsuchenden und Asylantragstellenden werden sowohl zum Zweck der Identitätsfeststellung und -sicherung, zur Überprüfung der Schutzbedürftigkeit, als auch zu verwaltungsspezifischen sowie integrations- und sicherheitsrelevanten Zwecken im Asylverfahren erfasst.Data of asylum seekers and asylum applicants are collected for the purpose of establishing and documenting identity, verifying the need for protection, as well as for administrative, integration and security-related purposes

Evaluating Musical Foreshadowing of Videogame Narrative Experiences

We experiment with mood-expressing, procedurally gener-ated music for narrative foreshadowing in videogames, in-vestigating the relationship between music and the player’s experience of narrative events in a game. We designed and conducted a user study in which the game’s music expresses true foreshadowing in some trials (e.g. foreboding music before a negative event) and false foreshadowing in others (e.g. happy music that does not lead to a positive event). We observed players playing the game, recorded analytics data, and had them complete a survey upon completion of the gameplay. Thirty undergraduate and graduate students participated in the study. Statistical analyses suggest that the use of musical cues for narrative foreshadowing induces a better perceived consistency between music and game narra-tive. Surprisingly, false foreshadowing was found to enhance the player’s enjoyment

Suggesting new plot elements for an interactive story

We present a system that uses evolutionary optimization to suggest new story-world events that, if added to an existing interactive story, would most improve the average interactive experience, according to author-supplied criteria. In doing so, we aim to apply some of the ideas from drama-managed storytelling, such as authorial aesthetic control, in an unguided setting more akin to emergent storytelling: rather than guiding or directing a player towards an experience in line with an author’s aesthetic goals, the storyworld is augmented with new content in a way that will tend to align with an author’s goals, even if the player is not guided. In this paper, we present an offline system, and demonstrate its robustness to a number of variations in authorial criteria and player-model assumptions. This is intended to lay the groundwork for a future system that would generate new content online, allowing for interactive stories larger than those explicitly written by the author.peer-reviewe

Modelling global pattern formations for collaborative learning environments

We present our research towards the design of a computational framework capable of modelling the formation and evolution of global patterns (i.e. group structures) in a population of social individuals. The framework is intended to be used in collaborative environments, e.g. social serious games and computer simulations of artificial societies. The theoretical basis of our research, together with current state of the art and future work, are briefly introduced.peer-reviewe

Generating narrative action schemas for suspense

A bottleneck in interactive storytelling is the authorial burden of writing narrative units, and connecting them to the interactive narrative structure. To address this problem, we present a hybrid approach that combines AI planning and evolutionary optimization in order to generated new plan operators representing possible story actions, within the framework of a planningbased interactive narrative system. We focus our work on inventing plan operators that are useful for contributing to suspenseful interactive stories, using suspense metrics that have been proposed in the literature.We devise an encoding scheme for converting a plan operator into a genetic-algorithm chromosome and vice versa, respecting constraints that are needed for an operator to be well-formed. We discuss the performance of the system, and several examples from preliminary experiments carried out to evaluate the evolved operators.This work has been supported in part by the EU FP7 ICT project SIREN (project no: 258453). We thank Arnav Jhala at UC Santa Cruz, and Antonios Liapis and Julian Togelius at IT University of Copenhagen for the discussion.peer-reviewe