Collaboratively Composing an Argumentative Essay: Wiki versus Face-to-face Interactions

Analysing Face to Face Computer-mediated Interactions

Detailed analysis of face to face computer mediated interactions implies a study of a corpus composed of the interaction traces produced by the collaborative tool and video and audio recordings. Because of their separate nature, it is frequently difficult to perform this joint analysis. In order to facilitate such analyses we propose a model for describing corpora composed of sources from diffe...

The adaptation of visual arts and architecture to with AN attitude toward Emmanuel Levinas’s Face- To- Face philosophy

One of problems of today’s society is the fact that the artist is away from the profession of other arts and various social groups, as well as disregard of art and artist by the above groups and the consequent weakness of art in the community. The importance of establishing social interactions and Face- To- Face of different social groups with the arts and artists, as well as artist with other ...

Supporting Argumentative Knowledge Construction in Face-to- Face Settings: From ArgueTable to ArgueWall

Research on computer-supported collaboration scripts has so far widely neglected human-computer-interaction (HCI) aspects. This paper presents a set of case studies on the user interface of a computer application that smoothly fits into the practice of argumentative knowledge construction in co-located collaborative learning. During an iterative design process different user interface designs w...

Time-varying networks approach to face-to-face empirical interactions

F2FCrowds: Planning Agent Movements to Enable Face-to-Face Interactions

We present an approach for multi-agent navigation that facilitates face-to-face interaction in virtual crowds. We describe a model of approach behavior for virtual agents that includes a novel interaction velocity prediction (IVP) algorithm. This algorithm is combined with human body motion synthesis constraints and facial actions to improve the behavioral realism of virtual agents. We combine ...