This paper discusses the use of natural language or „conversational‟ agents in e-learning environments. We describe and contrast the various applications of conversational agent technology represented in the e-learning literature, including tutors, learning companions, language practice and systems to encourage reflection. We offer two more detailed examples of conversational agents, one which ...

Polite behavior in intelligent conversational systems requires mixed-initiative dialog. AutoTutor is an intelligent tutoring system in which several of these conversational skills are implemented. This paper discusses some aspects of mixed-initiative dialog, as implemented in AutoTutor ranging from discourse markers, dialog moves and speech acts to question answering. In addition some of the st...

Interactions with conversational systems take diverse forms across applications and individual users. In order to develop intelligent systems that can accommodate these diverse conversational user experience (UX) needs and preferences, meanwhile balancing implementation costs, we propose a computationdriven approach to profile conversational interactions by measuring dialogue complexity of user...

as the arabic formal language is the national unifier that unites the sons of the arabs, so that it is a common language and the one of the holy quran, ideological inherited, and the language of science and knowledge, vulgar dialects in different arab countries, however, differ to the extent that, for example, a man from one of the eastern arab countries isn't able to find out the accent o...

Conventional synthetic voices can synthesise neutral read aloud speech well. But, to make synthetic speech more suitable for a wider range of applications, the voices need to express more than just the word identity. We need to develop voices that can partake in a conversation and express, e.g. agreement, disagreement, hesitation, in a natural and believable manner. In speech synthesis there ar...

Learning/training is an important application domain for intelligent agents technologies supporting believable dialogues and realistic virtual environments. In this paper, we first review, in section 2, some of the current applications and research in technology-enhanced learning. In section 3 we discuss the impact of conversational agents on the design of more effective individual and group/co...

Virtual humans and other virtual agents are becoming more common in our everyday lives. Whether in the form of phone-based personal assistants or automated customer service systems, these technologies have begun to touch more of our activities. This research aims to understand how this technology affects the way we interact with our computer systems. Using a chat bot, I studied the way a conver...

Scalability and reusability of tutorial dialogue systems is a function of the corresponding characteristics in their component tutoring and dialogue technologies. This paper discusses an architecture for a scalable, reusable, spoken conversational tutor, SCoT. With this design we hope to minimize the efforts needed to reuse the components for implementing a tutor in any domain, large or small.

Static recommendation methods like collaborative filtering suffer from the inherent limitation of performing real-time personalization for cold-start users. Online recommendation, e.g., multi-armed bandit approach, addresses this by interactively exploring user preference online and pursuing exploration-exploitation (EE) trade-off. However, existing bandit-based model actions homogeneously. Spe...