With the aim to give an overview of most recent discoveries in field socially engaging interactive systems, present paper discusses features affecting users' acceptance virtual agents, robots, and chatbots. In addition, questionnaires exploited several investigations assess chatbots (voice only) are discussed reported Supplementary material make them available scientific community. These were d...

Abstract Recent progress in machine learning has led to promising results behavioral malware detection. Behavioral modeling identifies malicious processes via features derived by their runtime behavior. hold great promise as they are intrinsically related the functioning of each malware, and therefore considered difficult evade. Indeed, while a significant amount exists on evasion static featur...

The frontal cortex controls behavioral adaptation in environments governed by complex rules. Many studies have established the relevance of firing rate modulation after informative events signaling whether and how to update the behavioral policy. However, whether the spatiotemporal features of these neuronal activities contribute to encoding imminent behavioral updates remains unclear. We inves...

Since various behavioral movement patterns are likely to be valid within different, unique ranges of spatial and temporal scales (e.g., instantaneous, diurnal, or seasonal) with the corresponding spatial extents, a cross-scale approach is needed for accurate classification of behaviors expressed in movement. Here, we introduce a methodology for the characterization and classification of behavio...