This work presents a study about the use of Laban Movement Analysis (LMA) as a robust tool to describe human basic behavior patterns, to be applied in human-machine interaction. LMA is a language used to describe and annotate dancing movements and is divided in components [1]: Body, Space, Shape and Effort. Despite its general framework is widely used in physical and mental therapy [2], it has ...

Currently, users and consumers can review and rate products through online services, which provide huge databases that can be used to explore people's preferences and unveil behavioral patterns. In this work, we investigate patterns in movie ratings, considering IMDb (the Internet Movie Database), a highly visited site worldwide, as a source. We find that the distribution of votes presents scal...

By means of intercurrent hypothalamic positive reinforcement and tegmentat negative reinforcement tests, drug actions on two different brain-stimulated behaviors were assessed simultaneously. Chlorpromazine at 2 mg/kg was effective in antagonizing both hypothalamic positive reinforcement behavior and tegmental negative reinforcement behavior, but it regularly caused a greater percentage deficit...

Modeling human behavior is important for the design of robots as well as human-computer interfaces that use humanoid avatars. Constructive models have been built, but they have not captured all of the detailed structure of human behavior such as the moment-to-moment deployment and coordination of hand, head and eye gaze used in complex tasks. We show how this data from human subjects performing...

In this paper, we propose a new feature extraction technique for program execution logs. First, we automatically extract complex patterns from a program’s behavior graph. Then, we embed these patterns into a continuous space by training an autoencoder. We evaluate the proposed features on a real-world malicious software detection task. We also find that the embedding space captures interpretabl...