A network model of interpersonal alignment in dialog

In dyadic communication, both interlocutors adapt to each other linguistically, that is, they align interpersonally. In this article, we develop a framework for modeling interpersonal alignment in terms of the structural similarity of the interlocutors’ dialog lexica. This is done by means of so-called two-layer time-aligned network series, that is, a time-adjusted graph model. The graph model is partitioned into two layers, so that the interlocutors’ lexica are captured as subgraphs of an encompassing dialog graph. Each constituent network of the series is updated utterance-wise. Thus, both the inherent bipartition of dyadic conversations and their gradual development are modeled. The notion of alignment is then operationalized within a quantitative model of structure formation based on the mutual information of the subgraphs that represent the interlocutor’s dialog lexica. By adapting and further developing several models of complex network theory, we show that dialog lexica evolve as a novel class of graphs that have not been considered before in the area of complex (linguistic) networks. Additionally, we show that our framework allows for classifying dialogs according to their alignment status. To the best of our knowledge, this is the first approach to measuring alignment in communication that explores the similarities of graph-like cognitive representations. Keywords: alignment in communication; structural coupling; linguistic networks; graph distance measures; mutual information of graphs; quantitative network analysi

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

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 OF BUSINESS AND IS/IT STRATEGY AT TELENOR SWEDEN

Neculau, Andrei. Habib, Stephanie. Henriksson, Aron. Magarian Kenaraki, Miganoush Katrin. Liu, Yuanchang. 2009. Alignment of Business and IS/IT Strategy at Telenor Sweden.strategic alignment, IS/IT strategy, business strategy, organizational strategy, case study, Telenor

Grounding the Simulation of Iconic Gestures in Gesture Typology

Bergmann K, Kopp S, Rieser H. Grounding the Simulation of Iconic Gestures in Gesture Typology. In: Efthimiou E, Kouroupetroglou G, eds. Proceedings of the 9th International Gesture Workshop: Gestures in Embodied Communication and Human-Computer Interaction. Berlin/Heidelberg, Germany: Springer; 2011: 33-36

Self-, other-, and joint monitoring using forward models

In the psychology of language, most accounts of self-monitoring assume that it is based on comprehension. Here we outline and develop the alternative account proposed by Pickering and Garrod (2013), in which speakers construct forward models of their upcoming utterances and compare them with the utterance as they produce them. We propose that speakers compute inverse models derived from the discrepancy (error) between the utterance and the predicted utterance and use that to modify their production command or (occasionally) begin anew. We then propose that comprehenders monitor other people’s speech by simulating their utterances using covert imitation and forward models, and then comparing those forward models with what they hear. They use the discrepancy to compute inverse models and modify their representation of the speaker’s production command, or realize that their representation is incorrect and may develop a new production command. We then discuss monitoring in dialogue, paying attention to sequential contributions, concurrent feedback, and the relationship between monitoring and alignment

Gestures Indicating Dialogue Structure

Rieser H. Gestures Indicating Dialogue Structure. In: Proceedings of SEMdial 2011, 15th Workshop on the Semantics and Pragmatics of Dialogue. In Press

Introduction to the Special Issue on Incremental Processing in Dialogue

  A brief introduction to the topics discussed in the special issue, and to the individual papers

Voronoi languages: Equilibria in cheap-talk games with high-dimensional types and few signals

We study a communication game of common interest in which the sender observes one of infinite types and sends one of finite messages which is interpreted by the receiver. In equilibrium there is no full separation but types are clustered into convex categories. We give a full characterization of the strict Nash equilibria of this game by representing these categories by Voronoi languages. As the strategy set is infinite static stability concepts for finite games such as ESS are no longer sufficient for Lyapunov stability in the replicator dynamics. We give examples of unstable strict Nash equilibria and stable inefficient Voronoi Languages. We derive efficient Voronoi languages with a large number of categories and numerically illustrate stability of some Voronoi languages with large message spaces and non-uniformly distributed types.Cheap Talk, Signaling Game, Communication Game, Dynamic stability, Voronoi tesselation