In this essay an engineer and a philosopher, after many conversations, develop an argument for why the Aristotelian version of virtue ethics is the most promising way to develop what we call artificial moral, social agents, i.e. robots. This, evidently, applies to humans as well. There are several claims: first, that humans are not born moral, they are socialized into morality; second, that morality involves affect, emotion, feeling, before it engages reason; third, that how a moral being feels is related (...) to some narrative, whether moral or not; and finally, that narrativity is what builds a sense of a “moral” I, namely an authorial moral self. (shrink)

This paper presents an algorithm for analyzing social situations within a robot. We contribute a method that allows the robot to use information about the situation to select interactive behaviors. This work is based on interdependence theory, a social psychological theory of interaction and interpersonal situation analysis. Experiments demonstrate the utility of the information provided by the situation analysis algorithm and of the value of this method for guiding robot interaction. We conclude that the situation analysis algorithm offers a viable, (...) principled, and general approach to explore interactive robotics problems. (shrink)

This article investigates the challenge of developing a robot capable of determining if a social situation demands trust. Solving this challenge may allow a robot to react when a person over or under trusts the system. Prior work in this area has focused on understanding the factors that influence a person’s trust of a robot. In contrast, by using game-theoretic representations to frame the problem, we are able to develop a set of conditions for determining if an interactive situation demands (...) trust. In two separate experiments, human subjects were asked to evaluate either written narratives or mazes in terms of whether or not they require trust. The results indicate a _Φ_1= +0.592 and _Φ_2 = +0.406 correlation respectively between the subjects’ evaluations and the condition’s predictions. This is a strong correlation for a study involving human subjects. (shrink)

This article investigates the challenge of developing a robot capable of determining if a social situation demands trust. Solving this challenge may allow a robot to react when a person over or under trusts the system. Prior work in this area has focused on understanding the factors that influence a person’s trust of a robot (Hancock, et al., 2011). In contrast, by using game-theoretic representations to frame the problem, we are able to develop a set of conditions for determining if (...) an interactive situation demands trust. In two separate experiments, human subjects were asked to evaluate either written narratives or mazes in terms of whether or not they require trust. The results indicate aΦ1= +0.592 andΦ2= +0.406 correlation respectively between the subjects’ evaluations and the condition’s predictions. This is a strong correlation for a study involving human subjects. (shrink)

This article investigates the challenge of developing a robot capable of determining if a social situation demands trust. Solving this challenge may allow a robot to react when a person over or under trusts the system. Prior work in this area has focused on understanding the factors that influence a person’s trust of a robot (Hancock, et al., 2011). In contrast, by using game-theoretic representations to frame the problem, we are able to develop a set of conditions for determining if (...) an interactive situation demands trust. In two separate experiments, human subjects were asked to evaluate either written narratives or mazes in terms of whether or not they require trust. The results indicate aΦ1= +0.592 andΦ2= +0.406 correlation respectively between the subjects’ evaluations and the condition’s predictions. This is a strong correlation for a study involving human subjects. (shrink)