Footnote:
Diese Datenquelle enthält auch Bestandsnachweise, die nicht zu einem Volltext führen.
Description:
The interaction between humans and robots in industries is changing dramatically with the advances of artificially intelligent (autonomous) systems and robots. It is becoming possible for robots to share workspaces with humans, work around them, and collaborate with them autonomously. Such a revolution enables the construction of hybrid teams that include both humans and robots to harness their complementary strengths and reduce their weaknesses. However, there are many challenges that associate this advancement. For example, human physical and perceived safety are paramount for effective collaboration with robots. In addition, many naturally existing all-human teams aspects become relevant for the emerging hybrid one which represent new challenges that need to be addressed such as being mutually predictable and mutually trusting each other. Especially, human trust has shown to be essential factor for fruitful collaboration because of the uncertainty about and vulnerability to the robot behavior as an autonomous agent. It has a strong influence on human acceptance and the reliance related issues: over- and under-reliance. Although human trust in a robot has been intensively investigated, there are many missing pieces of information in the new context of industrial collaboration such as human trust dynamics, its factors, and means for its calibration. In addition to human trust, because of the interdependence between the human and the robot and the lack of predictability of the human behavior in general, the robot has to make decisions under uncertainty and vulnerability, which makes robot trust in a hybrid team relevant as well. Allowing the robot to possess the sense of trust can facilitate decision-making under the aforementioned conditions. This has not yet covered properly and calls for deeper investigation about its design, implementation, and implications on the interaction. This doctoral thesis looks into the trust concept in such a hybrid team from the perspective of both agents. First, the human trust ...