Towards Learning ‘Self’ and Emotional Knowledge in Social and Cultural Human-Agent Interactions

Original article can be found at: http://www.igi-global.com/articles/details.asp?ID=35052 Copyright IGI. Posted by permission of the publisher.This article presents research towards the development of a virtual learning environment (VLE) inhabited by intelligent virtual agents (IVAs) and modeling a scenario of inter-cultural interactions. The ultimate aim of this VLE is to allow users to reflect upon and learn about intercultural communication and collaboration. Rather than predefining the interactions among the virtual agents and scripting the possible interactions afforded by this environment, we pursue a bottomup approach whereby inter-cultural communication emerges from interactions with and among autonomous agents and the user(s). The intelligent virtual agents that are inhabiting this environment are expected to be able to broaden their knowledge about the world and other agents, which may be of different cultural backgrounds, through interactions. This work is part of a collaborative effort within a European research project called eCIRCUS. Specifically, this article focuses on our continuing research concerned with emotional knowledge learning in autobiographic social agents.Peer reviewe

Engaging virtual agents

Embodied virtual assistants normally don’t engage the user emotionally. They fulfil their functions, e.g. as shopping assistants or virtual teachers, factually and emotionless. This way, they do not explore the full potential of the presence of an embodied character. In real life, the personality of the teacher or salesperson, their ability to involve and even to entertain is essential for their success. But how much of these “soft factors” can be translated into behaviour of virtual agents? Which kinds of virtual personalities are appropriate for which group, and in which context? We call virtual agents with engaging “soft skills” Engaging Virtual Agents. This paper presents a software platform employed for experimenting with soft skills and for creating different personalities of virtual agents. The focus of this platform is on authoring principles that facilitate the cooperation of content creators and computer scientists. We also present “Julie”, an example that was shortly concluded as part of a research project commissioned by SAP AG. Julie is a virtual sales assistant that employs actively emotional expressions and narrative techniques, in order to provide additional motivation for the customer to visit and to remain at the virtual shop

Direct Manipulation-like Tools for Designing Intelligent Virtual Agents

If intelligent virtual agents are to become widely adopted it is vital that they can be designed using the user friendly graphical tools that are used in other areas of graphics. However, extending this sort of tool to autonomous, interactive behaviour, an area with more in common with artificial intelligence, is not trivial. This paper discusses the issues involved in creating user-friendly design tools for IVAs and proposes an extension of the direct manipulation methodology to IVAs. It also presents an initial implementation of this methodology

The SGIA and the Common Growing Language

Human or virtual agents are presented in our lives daily. They serve our purposes and represent us in different many situations. Nowadays the number of virtual agents is increasing daily because they are cheaper, faster and more accurate than human agents. Our aim in this article is to define a new type of intelligent agent called SGIA – Self Growing Intelligent Agent and a new defining language for it. The SGIA agent is an intelligent agent with all the common agents’ characteristics and with other special one: that to learn and grow by itself in knowledge and size.Software Agent, Knowledge Management, Education Process, Language Development

THE RELATIONSHIP BETWEEN HUMAN AND VIRTUAL AGENTS: A LIFE CYCLE VIEW

Virtual agents powered by artificial intelligence (AI) have been implemented in different service contexts, which have brought some changes to our lives. Previous studies have examined individual users\u27 motivations to use virtual agents and the influences of virtual agents as social objects on individual users. There is a lack of knowledge on the relationship between humans and virtual agents, which could help understand the role of virtual agents in societies. In this work, we chose the mobile app Replika as our research context and utilized the big data analysis method to explore the major topics covered in online reviews about Replika on Twitter. Based on social penetration theory, we found four relationships between users and Replika, including relationship formation, exploration, maintenance, and destruction or termination. Our findings contribute to the literature by unrevealing a life circle of the relationship between human and virtual agents

Expressing social attitudes in virtual agents for social training games

The use of virtual agents in social coaching has increased rapidly in the last decade. In order to train the user in different situations than can occur in real life, the virtual agent should be able to express different social attitudes. In this paper, we propose a model of social attitudes that enables a virtual agent to reason on the appropriate social attitude to express during the interaction with a user given the course of the interaction, but also the emotions, mood and personality of the agent. Moreover, the model enables the virtual agent to display its social attitude through its non-verbal behaviour. The proposed model has been developed in the context of job interview simulation. The methodology used to develop such a model combined a theoretical and an empirical approach. Indeed, the model is based both on the literature in Human and Social Sciences on social attitudes but also on the analysis of an audiovisual corpus of job interviews and on post-hoc interviews with the recruiters on their expressed attitudes during the job interview

Mediating Performance Through Virtual Agents

This paper presents the process of creation of virtual agents used in a virtual reality performance. The performance aimed to investigate how drama and performance could inform the creation of virtual agents and also how virtual reality could raise questions for drama and performance. The virtual agents were based on the performance of 2 actors. This paper describes the process of preparing the actors, capturing their performances and transferring them to the virtual agents. A second set of agents was created using non-professional 'naive performers' rather than actors