Previous research has shown that the perception that one’s partner is investing effort in a joint action can generate a sense of commitment, leading participants to persist longer despite increasing boredom. The current research extends this finding to human-robot interaction. We implemented a 2-player version of the classic snake game which became increasingly boring over the course of each round, and operationalized commitment in terms of how long participants persisted before pressing a ‘finish’ button to conclude each round. Participants were (...) informed that they would be linked via internet with their partner, a humanoid robot. Our results reveal that participants persisted longer when they perceived what they believed to be cues of their robot partner’s effortful contribution to the joint action. This provides evidence that the perception of a robot partner’s effort can elicit a sense of commitment to human-robot interaction. (shrink)

Robots seemingly in possession of an experiential mind, as well as humans allegedly incapable thereof, have been reported to elicit feelings of eeriness in their perceivers. The current work re-examined this claim, asking participants to rate both robots and humans in various social situations regarding their mind capacities, non-mind qualities, and overall appeal. It was found that feelings of eeriness towards both targets formed a distinct emotional response that was separable from simple dislike. Yet, unexpectedly, eeriness towards both targets intensified, (...) the less they were seen as possessing a typical human mind. For robots, however, this association was less consistent. Moreover, eeriness towards robots, but not towards humans, was most strongly predicted by a lack of perceived usefulness. These results indicate that mind attributions affect people’s attitudes towards each other more strongly than their attitudes towards humanoid robots. (shrink)

This article presents results from a multidisciplinary research project on the integration and transfer of language knowledge into robots as an empirical paradigm for the study of language development in both humans and humanoid robots. Within the framework of human linguistic and cognitive development, we focus on how three central types of learning interact and co-develop: individual learning about one's own embodiment and the environment, social learning (learning from others), and learning of linguistic capability. Our primary concern is how these (...) capabilities can scaffold each other's development in a continuous feedback cycle as their interactions yield increasingly sophisticated competencies in the agent's capacity to interact with others and manipulate its world. Experimental results are summarized in relation to milestones in human linguistic and cognitive development and show that the mutual scaffolding of social learning, individual learning, and linguistic capabilities creates the context, conditions, and requisites for learning in each domain. Challenges and insights identified as a result of this research program are discussed with regard to possible and actual contributions to cognitive science and language ontogeny. In conclusion, directions for future work are suggested that continue to develop this approach toward an integrated framework for understanding these mutually scaffolding processes as a basis for language development in humans and robots. (shrink)