Title : Interacting with Information Beyond the Desktop

Presenter Lars Lischke
Abstract With advances in computing technology, all parts of society take decisions based on complex and processed data. Critical for the decision-making process is the communication of relevant information itself as well as an understanding of the data sources and applied processing techniques. This requires novel interaction techniques for exploring and visualizing data beyond exploring data at the desktop display. In this WAI talk, I will provide an overview about my research in human-computer interaction (HCI). I will show examples of how to explore data on multiple mobile devices, how to interact with large high-resolution displays and how information can be projected into industrial workplaces. Furthermore, I would like to discuss the relevance of HCI research for the VU and the Artificial Intelligence research groups in particular.

Title : Training with computers, acting with people

Presenter Daniel Formolo
Abstract We constantly use interpersonal stances in our daily life. Most of the time, we do it unconsciously, following ingrained habits or being reactive to situations. The aim of this work is to inspect how aware people are about their interpersonal stances, how can we use classification algorithms to infer people’s styles and if we could teach them to people. Among these topics I would like to present an experiment ongoing and discuss with you the implications draw conclusions over imprecise data in classification algorithms.

Title : Accomplishing Transparency within the General Data Protection Regulation

Presenter Dayana Spagnuelo
Abstract Transparency is a user-centric principle proposed to empower users to hold data processors accountable for the usage and the processing of the user’s personal data. Accomplishing transparency may come with some resistance because it requires significant architectural changes, but it is mandatory by law under the recently approved General Data Protection Regulation. To help the transition, we systematically review what Transparency Enhancing Technologies can help to accomplish transparency in agreement with technical requirements that we elicited from the Regulation’s articles.