Informatics, TU Vienna

Privacy-sensitive context-adaptive systems: Do we need personal data?

HCI / Lunchtime Scientific Series: Presentation by Christine Bauer from Johannes Kepler University Linz

The Human-Computer Interaction Group would like to kindly invite you to the following presentation by Christine Bauer from Johannes Kepler University Linz. Everyone is welcome and invited to attend the seminar.

Abstract

The art of understanding the human user, and the ability to tailor the service around their needs, emotions and preferences, are key to many online services such as personalized music recommendation or adaptive advertising. A major source to learn about users is the personal information that they disclose about themselves online. Still, often users react negatively towards the offer once they become aware of the personalization due to privacy concerns. There are endeavors to protect retrieved personal data on a system level to prevent access to this data by third parties. And there are endeavors to increase users’ trust in a system while still leveraging personal data - for instance, by making transparent how personal data is processed for a specific personalized offer (e.g., a recommended music playlist). However, besides retrieving and leveraging personal data (i.e., personalization), there are viable alternatives to present users adequate offer: Situationalization is the term we use to describe adaptations based on non-person-related situational (contextual) data. Besides introducing the concept of situationalization, I will discuss the benefits and challenges of applying the concept in practice, and will point to future avenues of research towards privacy-sensitive context-adaptive systems.

Biography

Christine Bauer is Senior Postdoc at Johannes Kepler University Linz, Austria, at the Department of Computational Perception. She received an Elise Richter Excellence grant sponsored by Austrian Science Fund (FWF) for the project “Fine-grained Culture-aware Music Recommender Systems”. She holds a Doctoral degree in Social and Economic Sciences and a Master’s degree in International Business Administration both from University of Vienna, Austria. Furthermore, she holds a Master degree in Business Informatics from Vienna University of Technology (TU Wien), Austria. She is passionate about the human perspective in the interaction with intelligent systems, whereby her goal is to include all relevant stakeholders’ perspectives. Her research activities center on the topic “the design of context-adaptive systems to support and assist their users,” at the intersection between business informatics, human-computer interaction, and ubiquitous computing. To date, she has authored more than 65 papers in refereed journals and conference proceedings, three of them awarded as best research paper, one received an award of excellence (highly commended paper), and four additional nominations for a best paper award.