(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...
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(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...
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In: Interacting with Computers, 2018, vol. 30, no. 2, p. 73-84
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In: Multimedia Tools and Applications, 2008, vol. 37, no. 2, p. 135-167
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In: Journal on Multimodal User Interfaces, 2010, vol. 3, no. 3, p. 237-247
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(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...
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This article examines the influence of mood feedback on different outcomes of teamwork in two different collaborative work environments. Employing a 2 x 2 between-subjects design, mood feedback (present vs. not present) and communication mode (face-to-face vs. video conferencing) were manipulated experimentally. We used a newly developed collaborative communication environment, called EmotiBoard,...
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In: Journal on multimodal user interfaces, 2010, vol. 3, no. 3, p. 237-247
This article introduces the problem of modeling multimodal interaction, in the form of markup languages. After an analysis of the current state of the art in multimodal interaction description languages, nine guidelines for languages dedicated at multimodal interaction description are introduced, as well as four different roles that such language should target: communication, configuration,...
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