Learn More
An increasing number of applications for social robots focuses on learning and playing with children. One of the unanswered questions is what kind of social character a robot should have in order to positively engage children in a task. In this paper, we present a study on the effect of two different social characters of a robot (peer vs. tutor) on(More)
Since children (5-9 years old) are still developing their emotional and social skills, their social interactional behaviors in small groups might differ from adults' interactional behaviors. In order to develop a robot that is able to support children performing collaborative tasks in small groups, it is necessary to gain a better understanding of how(More)
In this note, we present minimal robot movements for robotic technology for children. Two types of minimal gaze movements were designed: social-gaze movements to communicate social engagement and deictic-gaze movements to communicate task-related referential information. In a two (social-gaze movements vs. none) by two (deictic-gaze movements vs. none)(More)
This paper addresses the issue of how personality recognition can be helpful for sentiment analysis. We exploited the corpus for sentiment analysis released for the SEMEVAL 2013, we automatically annotated personality labels by means of an unsupervised system for personality recognition. We validated the automatic annotation on a small set of Twitter users,(More)
Imagine a room with toys scattered on the floor and a robot that is motivating a small group of children to tidy up. This scenario poses real-world challenges for the robot, e.g., the robot needs to navigate autonomously in a cluttered environment, it needs to classify and grasp objects, and it needs to interact with the children and adapt its behaviors to(More)
Minimal movements coupled with semantic free utterances could represent a solution for non-anthropomorphic robots to meaningfully communicate during child-robot interaction (cHRI). The research presented in this paper explores minimal nonverbal behavior to supply non-anthropomorphic robots with the communicative power necessary to engage as 'cooperative(More)
In collaborative play, children exhibit different levels of engagement. Some children are engaged with other children while some play alone. In this study, we investigated multimodal detection of individual levels of engagement using a ranking method and non-verbal features: turn-taking and body movement. Firstly, we automatically extracted turn-taking and(More)
Developing systems that motivate people to change their behaviors, such as an exercise application for the smartphone, is challenging. One solution is to implement motivational strategies from existing behavior change theory and tailor these strategies to preferences based on personal characteristics, like personality and gender. We operationalized(More)