Thesis Supervision:
Feel free to email me if you are interested in doing a Master/Bachelor thesis or any other kind of project in the context of my research topics. If you would like to work on the intersection of arts & AI, and have an idea that challenges the boundaries of creativity, do get in touch with me. I am happy to discuss any other ideas. See further my Konjoin page.
Courses:
Social Computing [INFOMSOC] can be broadly defined as ‘computational facilitation of social studies and human social dynamics as well as the design and use of ICT technologies that consider social context’. Watt argues that ‘if handled appropriately, data about Internet-based communication and interactivity could revolutionize our understanding of collective human behaviour’. If you like to apply computational approaches to social phenomenon and problems with the aim of bringing a broader perspective to social problems, this course is your first step. This course provides you with knowledge of various methodologies used within the sphere of social computing. Topics typically include data ethics, data sources, social media and social network analysis, text mining, reality mining, surveys, social simulations, urban computing, AI for social good and data visualization. Depending on the project theme, the list of topics and readings may vary from year to year, please check the latest syllabus, check out the link below.
Cognition & Emotion [INFOB2CE] teaches the cognitive processes (such as perceiving and processing information, and storing and using it), emotions, and their interrelationship. The focus is on the role of these phenomena in the design and use of ICT. Traditionally, cognition and emotion are treated separately in research literature. However, the mutual dependence of emotions and cognitive processes is obvious, and clearly relevant for the design and evaluation of many computer applications: e.g., systems that help users making decisions in stressful situations, training applications in which virtual characters show emotions, and games that are entertaining and educational. In common applications emotions and cognitive processes of the user are also involved: when an application provides too much or too little information, the user will make errors and get frustrated. A well-designed application, on the contrary, affords the user a pleasant working experience. The course is relevant for students interested in human-computer interaction and in (serious) games and training applications. We update the course structure and content regularly, check out the syllabus of the course to see the latest in the link below.