Publications by authors named "Gennaro Cordasco"
Article Synopsis
- The study explored how the human-likeness and attractiveness of agents (human vs. robotic) affect participants' ability to adopt another's perspective in Visual Perspective-Taking (VPT) tasks.
- Participants were asked to judge the location of a target object based on different scenarios involving either human or robotic actors demonstrating various actions and cues, like gazing and stillness.
- Results showed that individuals could be grouped into two distinct styles of perspective-taking, influenced more by the nature of the agent than by attractiveness or social cues, highlighting the importance of understanding these factors for improving human-robot interactions.
Article Synopsis
- * Healthy participants and clinically depressed patients performed writing and drawing tasks on a digital tablet to measure specific features like pressure, time, and pen inclination.
- * Results indicate that most features, except for pressure, can effectively differentiate between depressed and non-depressed individuals, suggesting that these tasks could enhance current depression detection methods in clinical settings.
In social interactions, the reciprocity norm implies to adjust one's behavior to that of the other agents. Conversely, behaving according to self-interest involves taking into account the reciprocity principle only if it does not hinder the achievement of one's goals. However, reciprocity and self-interest may conflict with each other, as when returning a kind action involves sacrificing the possibility to achieve a personal objective.
View Article and Find Full Text PDFIn this research, we analyse data obtained from sensors when a user handwrites or draws on a tablet to detect whether the user is in a specific mood state. First, we calculated the features based on the temporal, kinematic, statistical, spectral and cepstral domains for the tablet pressure, the horizontal and vertical pen displacements and the azimuth of the pen's position. Next, we selected features using a principal component analysis (PCA) pipeline, followed by modified fast correlation-based filtering (mFCBF).
View Article and Find Full Text PDFThis work deals with a generalization of the minimum Target Set Selection (TSS) problem, a key algorithmic question in information diffusion research due to its potential commercial value. Firstly proposed by Kempe et al., the TSS problem is based on a linear threshold diffusion model defined on an input graph with node thresholds, quantifying the hardness to influence each node.
View Article and Find Full Text PDFThe current study aims at examining the relationship between the perfectionism two-factor model (i.e., concerns and strivings) and burnout dimensions measured by using the BAT (Burnout Assessment Tool) through a longitudinal study.
View Article and Find Full Text PDFArticle Synopsis
- Scientists studied how our brains recognize the shape of human hands, just like monkeys do with their hands.
- They found that when people looked at pictures of human hands after seeing real human hands, they recognized them less as human compared to when they saw robot hands or animal paws.
- This suggests that our brains have special ways to identify human hands from other shapes, showing that we are wired to notice human features better.