Category: News

An interview by the Austrian public radio Ö1 with Erika Meins about why a change of location is good for our performance and well-being. Listen to the interview here:

The manuscript “Creative Uses of AI Systems and their Explanations: A Case Study from Insurance” authored by Michaela Benk, Raphael Weibel and Andrea Ferrario (Mobiliar Lab for Analytics at ETH and Chair of Technology Marketing, ETH), has been accepted at the ACM CHI 2022 Workshop on Human-Centered Explainable AI.

The manuscript “An Ethical Framework for Incorporating Digital Technology into Advance Directives: Promoting Informed Advance Decision Making in Healthcare” by S. Gloeckler, Andrea Ferrario (Mobiliar Lab for Analytics at ETH and Chair of Technology Marketing, ETH) and N. Biller-Andorno has been accepted in the Yale Journal of Biology and Medicine.

The manuscript “How explainability contributes to trust in AI” by Andrea Ferrario (Mobiliar Lab for Analytics at ETH and Chair of Technology Marketing, ETH) and Michele Loi has been accepted at the 2022 ACM Conference on Fairness, Accountability, and Transparency (FAccT’22).

The manuscript “The Value of Measuring Trust in AI – A Socio-Technical System Perspective,” authored among others by Michaela Benk and Andrea Ferrario (Mobiliar Lab for Analytics at ETH and Chair of Technology Marketing, ETH), has been accepted at the 2022 CHI workshop TRAIT. In a full-day workshop, the authors will be joining researchers from…
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The manuscript “Evaluating the Effects of a Programming Error on a Virtual Environment Measure of Spatial Navigation Behavior,” coauthored by Andrea Ferrario (Mobiliar Lab for Analytics at ETH and Chair of Technology Marketing, ETH), has been accepted in the Journal of Experimental Psychology: Learning, Memory, and Cognition.

Why returning to the office is good for our performance as well as our well-being. Jasmine Kerr and Erika Meins explain the science behind it. Read the article in the NZZ (in German) or the reprint in ETH’s Zukunftsblog (in English).

The manuscript “Predicting Working Memory in Healthy Older Adults Using Real-Life Language and Social Context Information: A Machine Learning Approach” by Andrea Ferrario (Mobiliar Lab for Analytics at ETH and Chair of Technology Marketing, ETH) et al., has been accepted for publication in JMIR Aging. The authors show that machine learning may support the prediction…
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Our presentation “Data Science zum Anfassen” from this year’s Scientifica at ETH Zürich is now online! Our researchers Michaela Benk and Mara Nägelin talk about how augmented reality technology can help make data science more tangible. Watch the recording here (in German):https://scientifica.ch/en/event/data-science-zum-anfassen/

Visitors of ETH Zürich tried out our VR-based method for stress management. A big thank you to digitalswitzerland D-MTEC ETH Zurich Die Mobiliar Florian Knapp Christoph Elhardt Raphael Weibel Jasmine Kerr Andrea Ferrario Nadine Elmer Miriam Kälin Photos: ETH Zürich / Sebastian Wagner-Vierhaus