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Computational Analysis of a Human–Robot Working Alliance Trust in Robot-Based Therapy

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Data Engineering for Smart Systems

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 238))

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Abstract

This paper presents a computational analysis of human–robot working alliance trust with behaviour change intervention domain. The model can be used as a trust evaluation module that supports robot-based therapy in maintaining trust human trust towards robots. Simulation experiments under various parameter settings indicated that the model could generate reasonable behaviour of distinct types of chosen cases. Moreover, by equilibria analysis, the model's stability state has been established, and by automated checking, the model's fundamental empirical-based properties have been confirmed.

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Author information

Authors and Affiliations

  1. Relational Machines Group, Human-Centred Computing Lab, School of Computing, Universiti Utara Malaysia, 06010, Sintok, Kedah, Malaysia

    Azizi Ab Aziz & Wadhah A. Abdulhussain

Authors
  1. Azizi Ab Aziz
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  2. Wadhah A. Abdulhussain
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Corresponding author

Correspondence to Azizi Ab Aziz .

Editor information

Editors and Affiliations

  1. School of Electrical and Data Engineering, University of Technology Sydney, Sydney, NSW, Australia

    Priyadarsi Nanda

  2. Manipal University Jaipur, Jaipur, Rajasthan, India

    Vivek Kumar Verma

  3. Manipal University Jaipur, Jaipur, Rajasthan, India

    Sumit Srivastava

  4. Manipal University Jaipur, Jaipur, Rajasthan, India

    Rohit Kumar Gupta

  5. Department of Computer Science and Engineering, Malviya National Institute of Technology, Jaipur, Rajasthan, India

    Arka Prokash Mazumdar

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© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Aziz, A.A., Abdulhussain, W.A. (2022). Computational Analysis of a Human–Robot Working Alliance Trust in Robot-Based Therapy. In: Nanda, P., Verma, V.K., Srivastava, S., Gupta, R.K., Mazumdar, A.P. (eds) Data Engineering for Smart Systems. Lecture Notes in Networks and Systems, vol 238. Springer, Singapore. https://doi.org/10.1007/978-981-16-2641-8_41

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