context context-adaptive systems context-aware computing creative industries datenschutz digitalisation digitalisierung digitalization human-computer interaction kreativwirtschaft music recommender systems musik musikbusiness musikempfehlungssysteme musikindustrie musikwirtschaft online self-disclosure personalisierung privacy songwriting urheberrecht
Christine Bauer is Senior Postdoc Researcher at JKU Johannes Kepler University Linz, Austria, and Lecturer at the University of Vienna, Austria, the Danube University Krems, Austria, as well as the the University of Applied Sciences Technikum Wien, Austria, spanning the fields of Information Systems, Computer Science, and Business Administration. 2013 and 2015 Visiting Scholar at the School of Computer Science, Human-Computer Interaction Institute, at Carnegie Mellon University, Pittsburgh, PA. Postdoctoral Researcher at the Department of Information Systems and Information Management at the University of Cologne (2015-2016). Assistant Professor at the Department of Information Systems and Operations at Vienna University of Economics and Business (WU Wien), Austria (2009-2015). Lecturer at the Ferdinand Porsche FernFH Studiengänge (University of Applied Sciences with distance learning), Vienna, Austria (2009-2015). Guest Lecturer at the University of Popular Music and Music Business, Mannheim, Germany (2012-2015). Christine engaged in applied research as a Researcher at the E-Commerce Competence Center (EC3), Austria (2007-2009) and Junior Key Researcher at the Fachhochschulstudiengänge Burgenland (University of Applied Sciences), Austria (2006-2007). Furthermore, she did freelance research, for instance, for the Research Studios Austria and the University of Vienna. Before starting her academic career, Christine worked as Manager Licensing New Media at Austria's biggest collecting society AKM, Austria (2002-2006).
Christine holds a Doctoral degree in Social and Economic Sciences (2009, with honours) and a Master's degree in International Business Administration (2002) both from University of Vienna, Austria. Furthermore, she holds a Master's degree in Business Informatics (2011) from Vienna University of Technology (Austria). Further studies at the University of Wales Swansea (now: Swansea University), United Kingdom, the Konservatorium der Stadt Wien (now: Music and Arts University of the City of Vienna), Austria, and Vienna University of Economics and Business, Austria.
Her research focuses on the intersection between human-computer interaction, ubiquitous computing, and information systems. Her main fields of interest span manifold fields such as context-adaptive systems, recommender systems, online self-disclosure and privacy, methods for designing context-adaptive systems, and the creative industries, in particular the music sector and the media sector.
Christine has authored more than 50 papers in refereed journals and conference proceedings, two of them awarded as best research paper and one nominated for a best paper award. For her dissertation and also for her Master's thesis, she received the Dr. Maria Schaumayer prize. Furthermore, she received a scholarship for the Summer School of European Science Days 2009: "The Economics of Art and Culture", in Steyr, Austria, and for the Mentoring Program at the University of Vienna, Austria, (2008-2010). Scholarship for the Career Program at Vienna University of Economics and Business, Austria (2010-2011).
Examples of previous talks:
Self-Disclosure in Online Interaction
Using the Internet increasingly requires people to disclose personal information for various reasons such as establishing legitimacy, authentication, or providing personalized services. An enormous amount of literature analyzed various influencing variables that shape self-disclosure in online interaction. However, the range of studies considers very specific variables and therefore provides merely puzzle pieces of the field. This presentation puts the pieces together. Results suggest that, while the overall effects of demographic, environmental, person- and system-based predictors are rather weak, self-disclosure can to some extent be influenced by system design.
Radio aktiv: Von der redaktionellen Gestaltung über Empfehlungen zum dynamischen Programm (Radio active: From editorial design and recommendations towards a dynamic program)
Ein Hörfunkprogramm wird traditionell von einer Redaktion gestaltet. Eine gute Indexierung von öffentlichen aber auch radioeigenen Informationsquellen erlaubt es, die Redaktion zu unterstützen und so können ähnliche, aktuelle oder historische Inhalte zu einzelnen Beiträgen von einem Informationssystem empfohlen werden. Aber auch Endnutzern kann der Zugang zu ähnlichen, aktuellen oder historischen Inhalte zur Verfügung gestellt werden. Empfehlungen können dabei vertiefende Informationen zu einem Beitrag sein oder das System empfiehlt eine bestimmte Aneinanderreihung von zusammenpassenden Audiobeiträgen. Eine innovative Entwicklung in diesem Bereich ist die automatische, dynamische und etwa auch personalisierte Zusammenstellung eines Hörfunkprogramms durch ein System; Radio wird dabei aktiv für einzelne Hörer gestaltet.
Kontextadaptive Systeme: überall – auch in der Werbung
WU Competence Day 2011, Vienna, Austria, 17 November 2011.
What makes a good pop star? 15 minutes of fame on the Internet…?!
Panel discussion: What makes a good pop star? 15 minutes of fame on the Internet…?!. Vienna University of Economics and Business, Austria, 28 May 2010.
Reactive Music: More than a Sonic Experience
Reactive Music: More than a Sonic Experience. Invited talk for the event Human-Computer Confluence Research Challenges, HC2 VISIONS. Vienna, Austria, 14-15 May 2012.
The dark side of Web 2.0: From self-marketing to self-destruction of music artists
Web 2.0 and social media have triggered radical changes in the very fundament of music business. In times before the Internet era, the music business was characterized by a standardized process including the creation, selection, distribution, and consumption of music. The roles of the involved market players (e.g. composer, lyricist, performer, producer, etc.) were clear-cut. Yet, in the early days of music business, in some market segments within that business (particularly in the recording industry) only few large-scale companies dominated the market; in other words, the market was a highly concentrated market. These few powerful and profit-oriented enterprises were dominating the market, pre-selecting and determining which musical works should hit the market. However, with the evolution of Web 2.0 and its new possibilities for home recording available at relatively low-cost and easy to handle, a myriad of music items have been released on the Web.
The main consequences of that development are the following: (1) the overall amount of music items available increased drastically, as there are now tens of millions of music items available at a consumer’s fingertip ; and (2) the ratio between (professional) high-quality music and low-quality music shifted towards an overall deterioration.
This, in turn, has an impact on every market player involved in the music business.