Research in the area of pervasive computing and ambient intelligence aims to make use of context information to allow devices or applications behave in a context-aware, thus "intelligent" way. Context-aware systems have been studied in several fields and developed for over 30 years. However, they are still identified by Gartner, alongside cloud computing, business impact of social computing and pattern based strategy. By a classic definition context is any information that can be used to characterize the situation of an entity.
We will focus on systems implemented with the use of mobile devices such as smartphones. In such dynamic systems numbers of challenges need to be addressed. They include management of uncertain context data, as well as the need of adaptability. We will present recent results in this area including new knowledge representation and reasoning methods.
Affective Computing is a field of study that puts interest in design and description of systems that are able to collect, interpret, process (ultimately - simulate) emotional states (affects). We assume that emotions are physical and cognitive and as such they can be studied interdisciplinary by computer science, biomedical engineering and psychology. Today most often harvested and processed information are about: speech (prosody: pitch variables, speech rate), body gestures and poses (3D mapping, motion capture techniques), facial expressions (visual analysis and electromyography), physiological monitoring (blood pressure, blood volume pulse, galvanic skin response). We will give an overview of important aspects of affective computing. We will also explore opportunities of incorporation of affective information into context-aware systems paradigm.
Grzegorz J. Nalepa is an engineer with degrees in computer science - artifical intelligence, and also philosophy. He has been working in the area of intelligent systems and knowledge engineering for over 15 years. He formulated the eXtended Tabular Trees rule representation method, as well as the Semantic Knowledge Engineering approach. He co-authored over 150 research papers in international journals and conferences. He coordinates GEIST - Group for Engineering of Intelligent Systems and Technologies (http://geist.re). For almost 10 years he's been co-chairing the Knowledge and Software Engineering Workshop (KESE) at KI, the German AI conference, and more recently on the Spanish CAEPIA, as well ECAI. He is the President of the Polish Artificial Intelligence Society (PSSI), member of EurAI. He is also a member of IEEE, KES, AI*IA, PTK.
13.05.2016 | 14:00 c.t.
Takustr. 9, Raum 055