An agent model for analysis of trust dynamics in short-term human-robot interaction

• Main Authors: Ab. Aziz, Azizi, Abdul Hussain, Wadhah A., Ahmad, Faudziah, Yusoff, Nooraini, Ahmad, Farzana Kabir
• Other Authors: Amnuaisuk, Somnuk Phon
• Format: Book Section
• Published: Springer International Publishing 2016
• Subjects: QA76 Computer software
• Online Access: http://repo.uum.edu.my/19715/; http://doi.org/10.1007/978-3-319-48517-1_8
• Institution: Universiti Utara Malaysia

Trust between human and robot is one of the crucial issues in robot-based therapy.It is highly important to provide a clearer and richer understanding and also to answer the questions why trust occurs in machines and how it can maintain successful interaction.In this paper, an agent based model for trust dynamics in short-term human-robot interaction is discussed and formally analysed. Three different cases were implemented to simulate various scenarios that explain the development of trust during short-term human-robot interaction; namely, (1) high level of trust, (2) moderate level of trust, and (3) low level of trust. Furthermore, simulation traces for fictional characters under different cases have pointed out realistic behaviours as existed in the literature. The developed model was verified by using mathematical (stability analysis) and automated verification (Temporal Trace Language).