Im Sommersemester 2017 findet auf Einladung von Prof. Dr. Dietmar Seipel der folgende Vortrag statt:
Freitag, 12. Mai 2017, 11.00 Uhr, Hörsaal 2 im Naturwissenschaftlichen Hörsaalbau
Prof. Dr. Grzegorz J. Nalepa
AGH University of Science and Technology
Cognitive assistants need to understand emotions.
On the integration of context-aware and affective systems.
Grzegorz J. Nalepa is a professor of computer science at the AGH University of Science and Technology in Kraków, Poland.
Cognitive assistants, or more recently smart advisors, are computer systems that augment human capabilities by providing decision support. Today, such systems should be personalized, and use wearable devices and ambient intelligence technologies to be constantly available to the user.
We argue, that human-centric cognitive computer systems should be able to detect and interpret changes of emotional state of the users. To acchieve this goal, we propose to combine two computing approaches: affective computing and context-aware systems. Affective Computing (AfC) is a field of study that puts interest in design and description of systems that are able to collect, interpret, and process emotional states. Assuming that emotions are physical and cognitive, as such they can be studied interdisciplinary by computer science, bio-medical engineering and psychology. Today, most often harvested and processed affective information is about: speech, body gestures and poses, facial expressions, and physiological monitoring. We will give an overview of important aspects of AfC. In our work, we focus on wearable sensors for physiological monitoring.
We will also explore opportunities of incorporation of affective information into context-aware systems paradigm. By a classic definition context, any information can be used to characterize the situation of an entity. We will focus on context-aware systems implemented with the use of mobile devices such as smartphones and present our results in this area. We will also explore opportunities of incorporation of affective information into context-aware systems paradigm. We propose the software platform AfCAI as a solution to the development of cognitive assistants that are based on context-aware and affective systems.