Intelligent Agents - Conversations from Human-agent Imitation Games

Kevin Warwick, Huma Shah


What do humans say/ask beyond initial greetings? Are humans always the best at conversation? How easy is it to distinguish an intelligent human from an ‘intelligent agent’ just from their responses to unrestricted questions during a conversation? This paper presents an insight into the nature of human communications, including behaviours and interactions, from a type of interaction - stranger-to-stranger discourse realised from implementing Turing’s question-answer imitation games at Bletchley Park UK in 2012 as part of the Turing centenary commemorations. The authors contend that the effects of lying, misunderstanding, humour and lack of shared knowledge during human-machine and human-human interactions can provide an impetus to building better conversational agents increasingly deployed as virtual customer service agents. Applying the findings could improve human-robot interaction, for example as conversational companions for the elderly or unwell. But do we always want these agents to talk like humans do? Suggestions to advance intelligent agent conversation are provided.


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Paper Citation

in Harvard Style

Warwick K. and Shah H. (2015). Intelligent Agents - Conversations from Human-agent Imitation Games . In Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-758-074-1, pages 261-268. DOI: 10.5220/0005176702610268

in Bibtex Style

author={Kevin Warwick and Huma Shah},
title={Intelligent Agents - Conversations from Human-agent Imitation Games},
booktitle={Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},

in EndNote Style

JO - Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - Intelligent Agents - Conversations from Human-agent Imitation Games
SN - 978-989-758-074-1
AU - Warwick K.
AU - Shah H.
PY - 2015
SP - 261
EP - 268
DO - 10.5220/0005176702610268