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2018
Poulsen, Adam; Burmeister, Oliver K.; Tien, David (2018) : Care Robot Transparency Isn’t Enough for Trust: 2018 IEEE Region Ten Symposium (Tensymp): Sydney, Australia: IEEE, S. 293-297

DOI: https://doi.org/10.1109/TENCONSpring.2018.8692047

Abstract: A recent study featuring a new kind of care robot indicated that participants expect a robot’s ethical decision-making to be transparent to develop trust, even though the same type of ‘inspection of thoughts’ isn’t expected of a human carer. At first glance, this might suggest that robot transparency mechanisms are required for users to develop trust in robot-made ethical decisions. But the participants were found to desire transparency only when they didn’t know the specifics of a human-robot social interaction. Humans trust others without observing their thoughts, which implies other means of determining trustworthiness. The study reported here suggests that the method is social interaction and observation, signifying that trust is a social construct. Moreover, that ‘social determinants of trust’ are the transparent elements. This socially determined behaviour draws on notions of virtue ethics. If a caregiver (nurse or robot) consistently provides good, ethical care, then patients can trust that caregiver to do so often. The same social determinants may apply to care robots and thus it ought to be possible to trust them without the ability to see their thoughts. This study suggests why transparency mechanisms may not be effective in helping to develop trust in care robot ethical decision-making. It suggests that roboticists need to build sociable elements into care robots to help patients to develop patient trust in the care robot’s ethical decision-making.

Keywords: care robot ethical decision-making, care robot transparency, Decision Making, ethical aspects, healthcare robotics, Human robot interaction, human-robot interaction, human-robot social interaction, ieee xplore, machine transparency, medical robotics, Moral & Ethik, Patient Care, patient trust, Robot Ethics, robot-made ethical decisions, socially determined behaviour
2016
Patompak, P.; Jeong, S.; Chong, N. Y.; Nilkhamhang, I. (2016) : Mobile robot navigation for human-robot social interaction: 2016 16th International Conference on Control, Automation and Systems (ICCAS): Gyeongju, Korea: IEEE, S. 1298-1303

DOI: https://doi.org/10.1109/ICCAS.2016.7832481

Abstract: Human social interactions are believed to be described by a mathematical model called the Social Force Model (SFM). A variety of mobile robot research has often used the SFM to generate an appropriate navigation behavior. However, to create a mobile robot that moves around in a human-populated environment in a socially acceptable way, it should be stressed that the social conventions are strictly obeyed. This paper proposes an extended SFM between humans and robots, called the Social Relationship Model (SRM), to enable mobile robots to generate navigation paths in a human-like manner. Simulation results show notable advantages of SRM over the Transition based Rapidly Random Tree (T-RRT) path planning algorithm. The proposed method ensures a socially acceptable robot path, one of the most important issues for human-robot symbiosis.

Keywords: Angemessen(heit) (von Technik), Collision avoidance, Force, human-populated environment, human-robot interaction, human-robot social interaction, Human-Robot Symbiosis, ieee xplore, Mathematical model, mobile robot navigation, Mobile robots, Navigation, path planning, service robot, SFM, social force model, social relationship model, SRM, Symbiosis, transition based rapidly random tree, trees (mathematics), T-RRT path planning algorithm

2018

2016

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