This paper proposes using collaborative filtering, a technique for using other users’ information to model the behavior of a certain user, to predict users’ evaluative expressions for entities in dialogue. Previous studies have found that inducing users’ empathic utterances towards systems can improve user satisfaction. Predicting what users may utter and communicating this information in advan...

In this paper, we identify two categories of media that are common in computer-supported collaborative learning and software in general: communication media, and information media. These two types of media map easily on to two types of social activities in which learning is grounded: dialogue and monologue. Drawing on literature in learning theory, we suggest the need for interfaces that help s...

Our goal is to build and evaluate a web-based, collaborative distance-learning system that will allow groups of students to interact with each other remotely and with an intelligent electronic agent that will aid them in their learning. The agent will follow the discussion and interact with the participants when it detects learning trouble. In order to recognize problems in the dialogue, we inv...

We propose a perspective on dialogue that focuses on relative information contributions of conversation partners as a key to successful communication. We predict the success of collaborative task in English and Danish corpora of task-oriented dialogue. Two features are extracted from the frequency domain representations of the lexical entropy series of each interlocutor, power spectrum overlap ...

Expressions used to refer to entities in a common environment do not originate solely from one participant in a dialogue but are formed collaboratively. It is possible to train a model for resolving these referring expressions (REs) in a static manner using an appropriate corpus, but, due to the collaborative nature of their formation, REs are highly dependent not only on attributes of the refe...

In naturally-occurring collaborative dialogues, the participants often share the responsibility of taking initiative in the dialogue. Thus, in order for a system to interact with human agents in a natural and coherent fashion, it must be able to recognize and provide cues when shifts in initiative are intended, and to take initiative into account in interpreting user utterances and in generatin...

computer-supported collaborative learning (cscl) is a new trend in educational sciences. this study investigates how knowledge sharing and transferring can be facilitated by using cscl in a problem-solving setting. intervention of research is education regarding sustainable water resources management (swrm) by computer-supported collaborative learning (cscl). the purpose of this research was to...

Face-to-face dialogue is the basic site of language use. Our group’s program of research focuses on unique features of face-to-face dialogue, especially the ways in which participants collaborate moment-by-moment (e.g. Bavelas et al., 1995; Bavelas and Chovil, 1997; Bavelas et al., 2000, 2002). Current experiments are showing that the availability of collaborative processes in dialogue signific...

Epistemic dialogues, involving explanation and argumentation, have been recognized as potential vehicles for conceptual understanding. Although the role of dialogue in learning has received much attention, the problem of creating situations in which students engage in epistemic dialogue has only begun to be addressed. This article highlights the set of factors that must be taken into account in...