Search results for "Interaction"

Emo-dramatic Robotic Stewards

2010

In this paper will be presented an heterogeneous colony of robots capable to cooperate with people as effective partners to provide different kind of support among various working environments, such as museums, offices or trade fairs. Many systems have been integrated in order to develop robots capable to assists humans during the visit of the site, to guide them and to give information about the environment. According to the drama’s theory, each robot has a different character, something like a personality, so, each of them will interact with people in a different way. Robots show also emotional, non trivial, behaviours using an LSA conceptual space capable to synthesize the different emot…

HUMAN ANDROID INTERACTION TOWARD SOCIAL ROBOTICS.

2012

TSVD as a Statistical Estimator in the Latent Semantic Analysis Paradigm

2015

The aim of this paper is to present a new point of view that makes it possible to give a statistical interpretation of the traditional latent semantic analysis (LSA) paradigm based on the truncated singular value decomposition (TSVD) technique. We show how the TSVD can be interpreted as a statistical estimator derived from the LSA co-occurrence relationship matrix by mapping probability distributions on Riemanian manifolds. Besides, the quality of the estimator model can be expressed by introducing a figure of merit arising from the Solomonoff approach. This figure of merit takes into account both the adherence to the sample data and the simplicity of the model. In our model, the simplicity…

They are looking at me! Understanding how Audience Presence Impacts on Public Display Users

2017

It is well known from prior work, that people interacting as well as attending to a public display attract further people to interact. This behavior is commonly referred to as the honeypot effect. At the same time, there are often situations where an audience is present in the vicinity of a public display that does not actively engage or pay attention to the display or an approaching user. However, it is largely unknown how such a \textit{passive audience} impacts on users or people who intend to interact. In this paper, we investigate the influence of a passive audience on the engagement of people with a public display. In more detail, we report on the deployment of a display in a public s…

Intelligent Interfaces for Human-Computer Interaction (IIHCI): Welcome message from workshop organizers

2009

Recognition of Human Actions Through Deep Neural Networks for Multimedia Systems Interaction

2019

Nowadays, interactive multimedia systems are part of everyday life. The most common way to interact and control these devices is through remote controls or some sort of touch panel. In recent years, due to the introduction of reliable low-cost Kinect-like sensing technology, more and more attention has been dedicated to touchless interfaces. A Kinect-like devices can be positioned on top of a multimedia system, detect a person in front of the system and process skeletal data, optionally with RGBd data, to determine user gestures. The gestures of the person can then be used to control, for example, a media device. Even though there is a lot of interest in this area, currently, no consumer sy…

Visually-Grounded Language Model for Human-Robot Interaction

2010

Visually grounded human-robot interaction is recognized to be an essential ingredient of socially intelligent robots, and the integration of vision and language increasingly attracts attention of researchers in diverse fields. However, most systems lack the capability to adapt and expand themselves beyond the preprogrammed set of communicative behaviors. Their linguistic capabilities are still far from being satisfactory which make them unsuitable for real-world applications. In this paper we will present a system in which a robotic agent can learn a grounded language model by actively interacting with a human user. The model is grounded in the sense that meaning of the words is linked to a…

Decision Process in Human-Agent Interaction: Extending Jason Reasoning Cycle

2019

The main characteristic of an agent is acting on behalf of humans. Then, agents are employed as modeling paradigms for complex systems and their implementation. Today we are witnessing a growing increase in systems complexity, mainly when the presence of human beings and their interactions with the system introduces a dynamic variable not easily manageable during design phases. Design and implementation of this type of systems highlight the problem of making the system able to decide in autonomy. In this work we propose an implementation, based on Jason, of a cognitive architecture whose modules allow structuring the decision-making process by the internal states of the agents, thus combini…

Human-­Human Interaction: Trends and Challenges for Pervasive and Mobile Computing

2012

Human-to-human interaction (HHI) is a challenging new domain where networked information systems and intelligent environments surrounding people converge for the purpose of better satisfaction of users' requirements and anticipation of their needs. Ubiquitous and pervasive computing are currently considered mature domains that implement and employ networked information systems on many important applications. Ambient intelligence involves the deployment of sensors and devices into the environment to

Human Activity Recognition Process Using 3-D Posture Data

2015

In this paper, we present a method for recognizing human activities using information sensed by an RGB-D camera, namely the Microsoft Kinect. Our approach is based on the estimation of some relevant joints of the human body by means of the Kinect; three different machine learning techniques, i.e., K-means clustering, support vector machines, and hidden Markov models, are combined to detect the postures involved while performing an activity, to classify them, and to model each activity as a spatiotemporal evolution of known postures. Experiments were performed on Kinect Activity Recognition Dataset, a new dataset, and on CAD-60, a public dataset. Experimental results show that our solution o…