Proposing Human-Robot Trust Assessment Through Tracking Physical Apprehension Signals in Close-Proximity Human-Robot Collaboration
| Autor: | Kasper Hald, Matthias Rehm, Thomas B. Moeslund |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
0209 industrial biotechnology
Apprehension Computer science 05 social sciences 02 engineering and technology Human Robot Collaboration Human–robot interaction Test (assessment) Task (project management) 020901 industrial engineering & automation Human–computer interaction Human Robot Interaction medicine Robot 0501 psychology and cognitive sciences Tracking (education) human robot trust medicine.symptom 050107 human factors |
| Zdroj: | RO-MAN Hald, K, Rehm, M & Moeslund, T B 2019, Proposing Human-Robot Trust Assessment Through Tracking Physical Apprehension Signals in Close-Proximity Human-Robot Collaboration . in 28th IEEE International Conference on Robot and Human Interactive Communication (ROMAN) ., 8956335, IEEE Computer Society Press, IEEE RO-MAN proceedings, The 28th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), New Delhi, India, 14/10/2019 . https://doi.org/10.1109/RO-MAN46459.2019.8956335 |
| Popis: | We propose a method of human-robot trust assessment in close-proximity human-robot collaboration involving body tracking for recognition of physical signs of apprehension. We tested this by performing skeleton tracking on 30 participant while they repeated a shared task with a Sawyer robot while reporting trust between tasks. We tested different robot velocity and environment conditions with an unannounced increase in velocity midway through to provoke a dip trust. Initial analysis show significant effect for the test conditions on participant movements and reported trust as well as linear correlations between tracked signs of apprehension and reported trust. |
| Databáze: | OpenAIRE |
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