Home // ACHI 2018, The Eleventh International Conference on Advances in Computer-Human Interactions // View article


Extended Method to Alternate the Estimation of Global Purposes and Local Objectives in Multiple Human-Agent Interaction

Authors:
Yoshimasa Ohmoto
Takashi Suyama
Toyoaki Nishida

Keywords: Multi-modal interaction; human-agent interaction; multi-user interaction; intentional stance

Abstract:
We are interested in how to realize the natural interaction between human and agent in a virtual world the same way the human-human interaction occurs in real-world. The differences between virtual experiences and real-world experiences highlight the fact that the former are not equivalent to the latter. We focused on the mental stances to establish the social relationships between humans and agents. The purpose of this study was to investigate whether the extended method to alternate the estimation of local objectives and global purposes using a network-connected two-layer model in multiple human agent interaction (eAEGL model) could induce the intentional stance in human participants. We conducted an experiment to evaluate the effect of the proposed method using two types of agents: an agent that implemented eAEGL model and a simple goal-oriented agent. The results suggest that the participants who interacted with the eAEGL agent considered the agent to be an interaction partner and they positively involved the agent in their virtual world experiences.

Pages: 212 to 217

Copyright: Copyright (c) IARIA, 2018

Publication date: March 25, 2018

Published in: conference

ISSN: 2308-4138

ISBN: 978-1-61208-616-3

Location: Rome, Italy

Dates: from March 25, 2018 to March 29, 2018