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International Joint Conference on Ambient Intelligence

AmI 2013: Evolving Ambient Intelligence pp 120–135Cite as

People-Centric Adaptive Social Ecology between Intelligent Autonomous Humanoid Robot and Virtual Human for Social Cooperation

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 413))

Abstract

The paper presents a simple people-centric adaptive ecology between a humanoid robot and a virtual human (social agents) to perform a real-world common complex social task. The social task was to assist the social agents each other in searching for a hidden object in a homely environment. In order to develop the ecology between the agents, we developed the agents with various similar functionalities, interaction modalities, sensing abilities, intelligence, autonomy etc., and integrated them through a common communication platform based on a novel control algorithm. In order to assess people’s acceptance of the ecology between the social agents and to benchmark the ecology, we studied human’s interactions with those agents and with some other allied agents for that task.We evaluated the attributes and performances of the social agents in their cooperations for the task, analyzed the attributes and performances and benchmarked them with the standards. The results showed that both of the social agents within the ecology could perform satisfactorily to accomplish the common social task though the performances varied slightly between the agents.We also found a trade-off between the attributes and the performances of the social agents. We then proposed to use the results to develop adaptive social ecologies with intelligent social agents of different realities to assist the humans in various real-world complex social tasks in smart spaces, or to get the real-world social tasks done in cooperation between the social agents.

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Author information

Authors and Affiliations

  1. Dept. of Mechanical Engineering, Vrije Universiteit Brussel (VUB), Belgium

    S. M. Mizanoor Rahman

Authors
  1. S. M. Mizanoor Rahman
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Editor information

Editors and Affiliations

  1. Adaptive Information Cluster, School of Computer Science and Informatics, University College Dublin, Belfield, Dublin 4, Ireland

    Michael J. O’Grady

  2. University of Birjand, Iran

    Hamed Vahdat-Nejad

  3. Peter L. Reichertz Institute for Medical Informatics, Braunschweig, Germany

    Klaus-Hendrik Wolf

  4. Department of Computer Science, University College Dublin, Belfield, Dublin 4, Ireland

    Mauro Dragone

  5. University of St Andrews, UK

    Juan Ye

  6. RWTH Aachen University, Germany

    Carsten Röcker

  7. School of Computer Science and Informatics, University College Dublin, Belfield, Dublin 4, Ireland

    Gregory O’Hare

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© 2013 Springer International Publishing

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Rahman, S.M.M. (2013). People-Centric Adaptive Social Ecology between Intelligent Autonomous Humanoid Robot and Virtual Human for Social Cooperation. In: O’Grady, M.J., et al. Evolving Ambient Intelligence. AmI 2013. Communications in Computer and Information Science, vol 413. Springer, Cham. https://doi.org/10.1007/978-3-319-04406-4_13

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  • DOI: https://doi.org/10.1007/978-3-319-04406-4_13

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-04405-7

  • Online ISBN: 978-3-319-04406-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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