Gerhard Sagerer

TL;DR: The results demonstrate that the tendency to build a model of another's mind linearly increases with its perceived human-likeness, first evidence of a contribution of higher human cognitive functions such as ToM in direct interactions with artificial robots.

TL;DR: It is proposed that the study of embodied cognitive agents, such as humanoid robots, can advance the understanding of the cognitive development of complex sensorimotor, linguistic, and social learning skills, which will benefit the design of cognitive robots capable of learning to handle and manipulate objects and tools autonomously.

TL;DR: It is argued that form, function, and context have to be taken systematically into account in order to develop a model to help us understand social robots.

TL;DR: It is shown that articulatory feature (AF) systems are capable of achieving a superior performance at high noise levels and that the combination of acoustic and AFs consistently leads to a significant reduction of word error rate across all acoustic conditions.

TL;DR: The design of a robot's head faces contradicting requirements when integrating powerful sensing with social expression and reactions of the general public show that current head designs often cause negative user reactions and distract from the functional capabilities.