Ambient Intelligence: Human–Agent Interactions in a Networked Community

2007 ◽  
pp. 279-303 ◽  
Author(s):  
Kostas Stathis ◽  
Robert Spence ◽  
Oscar de Bruijn ◽  
Patrick Purcell
Keyword(s):  
Ambient Intelligence ◽  
Agent Interactions ◽  
Human Agent

scholarly journals Towards alignment strategies in human-agent interactions based on measures of lexical repetitions

2021 ◽  
Author(s):  
Guillaume Dubuisson Duplessis ◽  
Caroline Langlet ◽  
Chloé Clavel ◽  
Frédéric Landragin
Keyword(s):  
Agent Interactions ◽  
Human Agent

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

2011 ◽  
pp. 305-324
Author(s):  
Wan Ching Ho ◽  
Kerstin Dautenhahn ◽  
Meiyii Lim ◽  
Sibylle Enz ◽  
Carsten Zoll ◽  
...  
Keyword(s):  
Autonomous Agents ◽  
Virtual Learning Environment ◽  
Virtual Agents ◽  
Cultural Backgrounds ◽  
Social Agents ◽  
Agent Interactions ◽  
Human Agent ◽  
The World ◽  
Intelligent Virtual Agents ◽  
Emotional Knowledge

This article presents research towards the development of a virtual learning environment (VLE) inhabited by intelligent virtual agents (IVAs) and modelling 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 bottom-up 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.

scholarly journals Towards Learning ‘Self' and Emotional Knowledge in Social and Cultural Human-Agent Interactions

2010 ◽  
pp. 602-621
Author(s):  
Wan Ching Ho ◽  
Kerstin Dautenhahn ◽  
Meiyii Lim ◽  
Sibylle Enz ◽  
Carsten Zoll ◽  
...  
Keyword(s):  
Autonomous Agents ◽  
Virtual Learning Environment ◽  
Virtual Agents ◽  
Cultural Backgrounds ◽  
Social Agents ◽  
Agent Interactions ◽  
Human Agent ◽  
The World ◽  
Intelligent Virtual Agents ◽  
Emotional Knowledge

This article presents research towards the development of a virtual learning environment (VLE) inhabited by intelligent virtual agents (IVAs) and modelling 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 bottom-up 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.

scholarly journals A Hierarchical Behavioral Dynamic Approach for Naturally Adaptive Human-Agent Pick-and-Place Interactions

Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-16
Author(s):  
Maurice Lamb ◽  
Patrick Nalepka ◽  
Rachel W. Kallen ◽  
Tamara Lorenz ◽  
Steven J. Harrison ◽  
...  
Keyword(s):  
Human Robot Interaction ◽  
Robot Interaction ◽  
Agent Interactions ◽  
Human Agent ◽  
Dinner Table ◽  
Pick And Place ◽  
Low Dimensional ◽  
High Level ◽  
Near Future ◽  
Simple Interaction

Interactive or collaborative pick-and-place tasks occur during all kinds of daily activities, for example, when two or more individuals pass plates, glasses, and utensils back and forth between each other when setting a dinner table or loading a dishwasher together. In the near future, participation in these collaborative pick-and-place tasks could also include robotic assistants. However, for human-machine and human-robot interactions, interactive pick-and-place tasks present a unique set of challenges. A key challenge is that high-level task-representational algorithms and preplanned action or motor programs quickly become intractable, even for simple interaction scenarios. Here we address this challenge by introducing a bioinspired behavioral dynamic model of free-flowing cooperative pick-and-place behaviors based on low-dimensional dynamical movement primitives and nonlinear action selection functions. Further, we demonstrate that this model can be successfully implemented as an artificial agent control architecture to produce effective and robust human-like behavior during human-agent interactions. Participants were unable to explicitly detect whether they were working with an artificial (model controlled) agent or another human-coactor, further illustrating the potential effectiveness of the proposed modeling approach for developing systems of robust real/embodied human-robot interaction more generally.

Scripting Human-Agent Interactions in a Generic ECA Framework

2008 ◽  
pp. 103-115 ◽  
Author(s):  
Hung-Hsuan Huang ◽  
Aleksandra Cerekovic ◽  
Igor S. Pandzic ◽  
Yukiko Nakano ◽  
Toyoaki Nishida
Keyword(s):  
Agent Interactions ◽  
Human Agent
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