An Agent Model for Analysis of Trust Dynamics in Short-Term Human-Robot Interaction
| Autor: | Wadhah A. Abdul Hussain, Nooraini Yusof, Azizi Ab Aziz, Faudziah Ahmad, Farzana Kabir Ahmad |
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| Rok vydání: | 2016 |
| Předmět: |
Agent-based model
business.industry Computer science 05 social sciences Stability (learning theory) 050105 experimental psychology Human–robot interaction Term (time) Dynamics (music) Robot 0501 psychology and cognitive sciences Artificial intelligence business 050107 human factors TRACE (psycholinguistics) |
| Zdroj: | Advances in Intelligent Systems and Computing ISBN: 9783319485164 |
| DOI: | 10.1007/978-3-319-48517-1_8 |
| Popis: | 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). |
| Databáze: | OpenAIRE |
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