Investigating Human Perceptions of Trust in Robots for Safe HRI in Home Environments
Alessandra Rossi, Kerstin Dautenhahn, Kheng Lee Koay, Joe Saunders
- Year
- 2017
- Citations
- 38
Abstract
In an era in which robots take a part in our lives in daily living activities, humans have to trust robots in home environments. We aim to create guidelines that allow humans to trust robots to be able to look after their well-being by adopting human-like behaviours. We want to study a Human-Robot Interaction (HRI) to assess whether a certain degree of transparency in the robots actions, the use of social behaviours and natural communications can affect humans' sense of trust and companionship towards the robots. However, trust can change over time due to different factors, e.g. due to perceiving erroneous robot behaviors. We believe that the magnitude and the timing of the error during an interaction may have different impacts resulting in different scales of loss of trust and of restoring lost trust.
Keywords
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