Recently, the development and deployment of social robots to support children with autism spectrum conditions (ASC) has attracted the attention of researchers in different fields. The main aim of this multidisciplinary research field is to teach and improve the social skills and capabilities of the children through interacting and playing with robots however, due to the spontaneous nature of ch...

Increasing emotional engagement in 3-D interactive environments is a hard, but important problem. It is important for its potential utility in increasing motivation, involvement, and engagement. These constructs are not only useful for entertainment applications, but also impact training and edutainment applications due to the impact of emotions on learning (Ulate, 2002; Wolfe, 2001). Many rese...

When building a story-intensive game, there is always the question of how much freedom to give the player. Give the player too little, and he may feel constrained and disconnected from the character he is controlling. Give him too much freedom, and the progression of the story may lag or stop altogether. The field of interactive drama attempts to strike a balance between interaction and authors...

Interactive image segmentation is characterized by multimodality. When the user clicks on a door, do they intend to select the door or the whole house? We present an endto-end learning approach to interactive segmentation that tackles this ambiguity. Our architecture couples two convolutional networks. The first is trained to synthesize a diverse set of plausible segmentations that conform to t...

The "transfer" model in science communication has been addressed critically from different perspectives, while the advantages of the interactive model have been continuously praised. Yet, little is done to account for the specific role of the interactive model in communicating "unfinished science." The traditional interactive methods in museums are not sufficient to keep pace with rapid scienti...

As learning-based methods make their way from perception systems to planning/control stacks, robot control have started enjoy the benefits that data-driven provide. Because directly affect motion of robot, methods, especially black box approaches, need be used with caution considering aspects such as stability and interpretability. In this letter, we describe a differentiable hierarchical archi...