5 accepted papers
A key component of dyadic spoken interactions is the contextually relevant non-verbal gestures, such as head movements that reflect a listener’s response to the interlocutor’s speech. Although significant progress has been made in the context of generating co-speech gestures, generating listener’s r…
Adversarial attacks on machine learning systems are an important area of study in cybersecurity. Keystroke dynamics (KD)-based user authentication systems utilize human typing behavior to distinguish between users. As robots continue to advance and become more capable at mimicking human behavior, th
The integration of humanoid and animal-shaped robots into specialized domains, such as healthcare, multiterrain operations, and psychotherapy, necessitates a deep understanding of proxemics-the study of spatial behavior that governs effective human-robot interactions. Unlike traditional robots in ma
We introduce HARPER, a novel dataset for 3D body pose estimation and forecasting in dyadic interactions between users and Spot, the quadruped robot manufactured by Boston Dynamics. The key-novelty of HARPER is its focus on the robot’s perspective, i.e., on the data captured by the robot’s sensors. T…
Future robots will be very advanced with high flexibility and accurate control performance. They will have the ability to mimic human behaviours or even perform better, which raises the significant risk of robot attack. In this work, we study the robot mimic attack on the current keystroke-dynamic u…