Internal working papers DIUF

Internal working papers DIUF
The DIUF Working Papers collection is a series of research papers edited by the Department of Informatics of the University of Fribourg (Switzerland). This series exists since 1958, and is available in its entirety in electronic form since 2015. The content of the publications fits into the research themes of informatics, operational research and statistics.
The collection has been published under the names of the Institute of Automation (IAUF) from 1958 to 1995, the Laboratory of Informatics (LIUF) from 1986 to 1995, and the Institute of Informatics (IIUF) from 1995 to 2000.
Université de Fribourg

Gesturing on the steering wheel, a comparison with speech and touch interaction modalities

Angelini, Leonardo ; Baumgartner, Jürgen ; Carrino, Francisco ; Carrino, Stefano ; Caon, Maurizio ; Abou Khaled, Omar ; Sauer, Jürgen ; Lalanne, Denis ; Mugellini, Elena ; Sonderegger, Andreas

(Internal working papers DIUF ; 15-03)

This paper compares an emergent interaction modality for the In-Vehicle Infotainment System (IVIS), i.e., gesturing on the steering wheel, with two more popular modalities in modern cars: touch and speech. We conducted a betweensubjects experiment with 20 participants for each modality to assess the interaction performance with the IVIS and the impact on the driving performance. Moreover, we...

Université de Fribourg

Intelligence Artificielle : Un aperçu

Mondal, Manuel ; Lalanne, Denis

(Internal working papers DIUF ; 21-03)

L’objectif de ce document est de présenter une introduction concise aux concepts fonda-mentaux de l’Intelligence Artificielle. Il s’adresse à toutes les personnes extérieures au domaine, curieuses à le découvrir ou à en approfondir leurs connaissances, tel que des chercheurs d’autres disciplines à la recherche de nouveaux outils, des juristes confrontés à des algorithmes de...

Université de Fribourg

Demystifying Artificial Intelligence

Mondal, Manuel ; Lalanne, Denis

(Internal working papers DIUF ; 21-02)

The objective of this document is to provide a non-technical introduction to the field of Artificial Intelligence. It is intended for anyone outside of the data science community curi-ous about the subject, such as researchers from other areas looking for new instruments, legal professionals confronted with automated decision making algorithms or legal tech tools, en-trepreneurs interested in...