Abstract will be open on 10th April.
Hand-out files will be available on 10th May.
In order to achieve long-term interaction with robots, several factors should be considered. In this presentation, two important ones - culture and suspension of disbelief - are examined. Results extracted from experiments done in Egypt, Japan, Netherlands and Brazil with the humanoid robot KOBIAN shed light on the matter. While culture plays an important role in short-term interaction as it can make first impression favourable or unfavourable, the expectations of robot's intelligence and the human partner's own literacy level are crucial in making interactions last longer.
We focuses on cultural differences in perception of comfortableness of robots which have positive anthropomorphic features and negative ones respectively. Previously Japanese are found to distinguish positive features from negative features in anthropomorphism of robots but Westerns don't. We hypothesized that Japanese will show different patterns in comfortableness when the robot has positive features and when the robots has negative features but Americans won't. The results supported our hypothesis that Japanese show different comfortableness between robots with positive and negative features but Americans don't. Americans don't show different levels of comfortableness regarding the number of positive and negative features and are more open to anthropomorphized robots than Japanese. Japanese seem sensitive to negative features of anthropomorphism. Interestingly, they show lower level of comfortableness in case of fewer negative features and not in more negative features. It is possible that fewer negative features are easy to be detected and perceived more risky in collective cultures.
Trust is recently studied in a wide range of fields including, to name a few, philosophy, psychology, sociology, and economics. This trend of study is motivated by similar considerations that imply that human social life fundamentally depends on trust. Even doing an ordinary, garden-variety task, e.g., driving a car or shopping, requires investing trust in other people. Human society is becoming rapidly and extensively digitized and mechanized. As a result, human ordinary life inevitably depends on the use of machines today, and this dependence is increasingly robust and heavy. Moreover, overtrust leads to abuse, and distrust lead to non-use, of machines. These considerations motivate the recent study of trustworthy machines and robots in Human-Machine and Human-Robot Interaction. However, trust is a difficult beast to capture; many different conceptions of trust have been proposed, and it is not clear how they are related to each other or even whether they are about the same thing. In this talk, first, I review analyses of trust in philosophy that shed light on different aspect of the complex mental state of trust. Second, I relate these analyses to the study of trustworthy machines in HMI and HRI. Third, I consider what moral ramifications enhancement of trustworthiness of machines has in the future society.
Social robots are machines developed to interact with people and play a social role in human society. Individuals relate with social robots differently than how they interact with other technological tools. People tend to anthropomorphize these machines attributing them human features such as emotions, mind and intentionality: social robots are no more perceived as simple objects but they become social agents. As a consequence, this conceptualization of robots affects the relations human beings can develop with them and lead to treat them as members of a social out-group opposite to the human ingroup. Although the relation between humans and robots as social groups represents an interesting and novel issue, there is a lack of theoretical and empirical evidences in the literature linking social robotic research with social psychological constructs. With the present work, we want to highlight the importance of social identity and intergroup relations in social robotics and evidence how they can help us to improve the temporal interactions and sustainable relationships between humans and social robots.