Robert J.K. Jacob - Reality-Based Interaction, Next Generation User Interfaces, and Brain-Computer Interfaces

Organisé par : 
Nataliya Kosmyna
Intervenant : 
Robert J.K. Jacob

Information détaillée : 

Robert Jacob is a Professor of Computer Science at Tufts University, where his research interests are new interaction modes and techniques and user interface software; his current work focuses on implicit brain-computer interfaces. He has been a visiting professor at the University College London Interaction Centre, Universite Paris-Sud, and the MIT Media Laboratory.  Before coming to Tufts, he was in the Human-Computer Interaction Lab at the Naval Research Laboratory.  He received his Ph.D. from Johns Hopkins University, and he is a member of the editorial boards of Human-Computer Interaction and the International Journal of Human-Computer Studies and a founding member for ACM Transactions on Computer-Human Interaction.  He has served as Vice-President of ACM SIGCHI, Papers Co-Chair of the CHI and UIST conferences, and Co-Chair of UIST and TEI.  He was elected to the ACM CHI Academy in 2007, an honorary group of the principal leaders of the field of HCI, whose efforts have shaped the discipline and industry, and have led research and innovation in human-computer interaction.


Voir aussi le séminaire qui suivra : ACONIT- Histoire de l’informatique et du numérique

Résumé : 

I will begin with the notion of Reality-Based Interaction (RBI) as a unifying concept that ties together a large subset of the emerging generation of new, non-WIMP user interfaces. It attempts to connect current paths of research in HCI and to provide a framework that can be used to understand, compare, and relate these new developments. Viewing them through the lens of RBI can provide insights for designers and allow us to find gaps or opportunities for future development.  I will briefly discuss some past work in my research group on a variety of next generation interfaces such as tangible interfaces and eye movement-based interaction techniques. Then I will discuss our current work on brain-computer interfaces and the more general area of implicit interaction.