WHO ARE YOU? - On the Acquisition of Information about People for an Agent that Remembers

Nikita Mattar, Ipke Wachsmuth

Abstract

Humans make extensive use of specialized representations to remember people they interacted with. While current research on embodied conversational agents focuses on the relationship between agent and interlocutor, the representation of the latter is mostly neglected. But information about others are inevitable for an agent to adapt to its interlocutors and to establish long-term relationships with them. In this work, we present a model of Person Memory for virtual agents. We discuss what kinds of information have to be stored about people. Furthermore, we stress the importance of social categories. In our scenario, we focus on first encounters between our agent and people. We show how the agent is able to exploit his Person Memory to acquire information about others during Small Talk and guide the conversation.

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Paper Citation


in Harvard Style

Mattar N. and Wachsmuth I. (2012). WHO ARE YOU? - On the Acquisition of Information about People for an Agent that Remembers . In Proceedings of the 4th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-8425-96-6, pages 98-105. DOI: 10.5220/0003710900980105


in Bibtex Style

@conference{icaart12,
author={Nikita Mattar and Ipke Wachsmuth},
title={WHO ARE YOU? - On the Acquisition of Information about People for an Agent that Remembers},
booktitle={Proceedings of the 4th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2012},
pages={98-105},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003710900980105},
isbn={978-989-8425-96-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 4th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - WHO ARE YOU? - On the Acquisition of Information about People for an Agent that Remembers
SN - 978-989-8425-96-6
AU - Mattar N.
AU - Wachsmuth I.
PY - 2012
SP - 98
EP - 105
DO - 10.5220/0003710900980105