How Do I Address You? Modelling addressing behavior based on an analysis of a multi-modal corpora of conversational discourse

Addressing is a special kind of referring and thus principles of multi-modal referring expression generation will also be basic for generation of address terms and addressing gestures for conversational agents. Addressing is a special kind of referring because of the different (second person instead of object) role that the referent has in the interaction. Based on an analysis of addressing behaviour in multi-party face-to-face conversations (meetings, TV discussions as well as theater plays), we present outlines of a model for generating multi-modal verbal and non-verbal addressing behaviour for agents in multi-party interactions

A comparison of addressee detection methods for multiparty conversations

Several algorithms have recently been proposed for recognizing addressees in a group conversational setting. These algorithms can rely on a variety of factors including previous conversational roles, gaze and type of dialogue act. Both statistical supervised machine learning algorithms as well as rule based methods have been developed. In this paper, we compare several algorithms developed for several different genres of muliparty dialogue, and propose a new synthesis algorithm that matches the performance of machine learning algorithms while maintaning the transparancy of semantically meaningfull rule-based algorithms

Exploiting `Subjective' Annotations

Many interesting phenomena in conversation can only be annotated as a subjective task, requiring interpretative judgements from annotators. This leads to data which is annotated with lower levels of agreement not only due to errors in the annotation, but also due to the differences in how annotators interpret conversations. This paper constitutes an attempt to find out how subjective annotations with a low level of agreement can profitably be used for machine learning purposes. We analyse the (dis)agreements between annotators for two different cases in a multimodal annotated corpus and explicitly relate the results to the way machine-learning algorithms perform on the annotated data. Finally we present two new concepts, namely `subjective entity' classifiers resp. `consensus objective' classifiers, and give recommendations for using subjective data in machine-learning applications.\u

Evaluation of the implementation of curriculum materials for civics in the Netherlands

Discusses a study evaluating the implementation of curriculum materials for civics in the Netherlands. Pedagogical principles aimed at increasing students' social commitment; Central research question; Exploration of broad context for implementation; Actual use of teaching packages by teachers

The use of innovation and practice profiles in the evaluation of curriculum implementation

Most generic curriculum reform efforts have to deal with a gap between the innovative aspirations of the initial designers and the daily reality of the intended audience of teachers. That tension is not alarming in itself. One might even say that without it no compelling reason for starting development work would exist. Unfortunately, many evaluation studies on the implementation and impact of curriculum development projects show that this discrepancy does not decrease over time. Apparently, not much improvement is made in detecting and reducing potential implementation problems.\ud This article presents some conceptual and instrumental guidelines for dealing with these problems, focusing on the use of `profiles¿ during evaluation of curriculum materials.\ud The paper starts with an introduction on the functions of exemplary curriculum materials and their possible representations, on the long road from original designers¿ ideas to effects of student learning. Next, we will explain the concepts of innovation and practice profiles. We will then provide guidelines for the development and use of such profiles, based on previous research experiences, and illustrated with some specific examples. Finally, we will reflect on the advantages and limitations of working with profiles

Weakly Restricted Stochastic Grammars

A new type of stochastic grammars is introduced for investigation: weakly restricted stochastic grammars. In this paper we will concentrate on the consistency problem. To find conditions for stochastic grammars to be consistent, the theory of multitype Galton-Watson branching processes and generating functions is of central importance.\ud The unrestricted stochastic grammar formalism generates the same class of languages as the weakly restricted formalism. The inside-outside algorithm is adapted for use with weakly restricted grammars

The integration of computer use in education

There is an increasing awareness that disappointing experiences with the introduction of computers in education are a consequence of insufficiently taking into account factors that are crucial when introducing change in educational settings. Many of the problems in the literature show great similarity with the kind of problems often experienced in curriculum implementation. In this context the endeavors to make computer use an integrated part of classroom activities are analyzed. Emphasis will be laid on the interaction between teachers and courseware; elements for a more effective strategy for the integration of computer use in educational practice will be presented, with special attention to the design of support materials as an essential part of courseware