Synthetic vision and emotion calculation in intelligent virtual human modeling

The virtual human technique already can provide vivid and believable human behaviour in more and more scenarios. Virtual humans are expected to replace real humans in hazardous situations to undertake tests and feed back valuable information. This paper will introduce a virtual human with a novel collision-based synthetic vision, short-term memory model and a capability to implement the emotion calculation and decision making. The virtual character based on this model can ‘see’ what is in his field of view (FOV) and remember those objects. After that, a group of affective computing equations have been introduced. These equations have been implemented into a proposed emotion calculation process to enlighten emotion for virtual intelligent huma

A Phenomenological “Aesthetics of Isolation” as Environmental Aesthetics for an Era of Ubiquitous Art

Here the concept of the human being as a “relatively isolated system” developed in Ingarden’s later phenomenology is adapted into an “aesthetics of isolation” that complements conventional environmental aesthetics. Such an aesthetics of isolation is especially relevant, given the growing “aesthetic overload” brought about by ubiquitous computing and new forms of art and aesthetic experience such as those involving virtual reality, interactive online performance art, and artificial creativity

This Far, No Further: Introducing Virtual Borders to Mobile Robots Using a Laser Pointer

We address the problem of controlling the workspace of a 3-DoF mobile robot. In a human-robot shared space, robots should navigate in a human-acceptable way according to the users' demands. For this purpose, we employ virtual borders, that are non-physical borders, to allow a user the restriction of the robot's workspace. To this end, we propose an interaction method based on a laser pointer to intuitively define virtual borders. This interaction method uses a previously developed framework based on robot guidance to change the robot's navigational behavior. Furthermore, we extend this framework to increase the flexibility by considering different types of virtual borders, i.e. polygons and curves separating an area. We evaluated our method with 15 non-expert users concerning correctness, accuracy and teaching time. The experimental results revealed a high accuracy and linear teaching time with respect to the border length while correctly incorporating the borders into the robot's navigational map. Finally, our user study showed that non-expert users can employ our interaction method.Comment: Accepted at 2019 Third IEEE International Conference on Robotic Computing (IRC), supplementary video: https://youtu.be/lKsGp8xtyI

Le risorse bibliografiche di archeologia in rete. Un panorama in evoluzione

The article describes some bibliographic works carried out as part of the research line devoted to archaeological computing at the Istituto di Studi sul Mediterraneo Antico (ISMA), CNR. The work analyses, in particular, the rich bibliography on archaeological computing in the 1990s published on the website Virtual Museum of Archaeological Computing (http://archaeologicalcomputing.lincei.it/) and the digital bibliographies of Massimo Pallottino, Sabatino Moscati and Mauro Cristofani, some leading figures in our Institute’s history. Next, the text explores some examples of bibliographic resources available online (those relating to open texts and those relating to simple bibliographic references) and also describes some recently launched projects dedicated to virtual libraries and digital infrastructures in the field of human sciences

Panel on future challenges in modeling methodology

This panel paper presents the views of six researchers and practitioners of simulation modeling. Collectively we attempt to address a range of key future challenges to modeling methodology. It is hoped that the views of this paper, and the presentations made by the panelists at the 2004 Winter Simulation Conference will raise awareness and stimulate further discussion on the future of modeling methodology in areas such as modeling problems in business applications, human factors and geographically dispersed networks; rapid model development and maintenance; legacy modeling approaches; markup languages; virtual interactive process design and simulation; standards; and Grid computing

Learning a human-perceived softness measure of virtual 3D objects

We introduce the problem of computing a human-perceived softness measure for virtual 3D objects. As the virtual objects do not exist in the real world, we do not directly consider their physical properties but instead compute the human-perceived softness of the geometric shapes. We collect crowdsourced data where humans rank their perception of the softness of vertex pairs on virtual 3D models. We then compute shape descriptors and use a learning to-rank approach to learn a softness measure mapping any vertex to a softness value. Finally, we demonstrate our framework with a variety of 3D shapes