Multimodal-Multisensor Behavioral Analytics: Going Deeper into Human-Centered Design

Sharon Oviatt

Prof. Sharon Oviatt

Professor of HCI and Creative Technologies,
Monash University, Australia

Bio: Professor Sharon Oviatt is internationally known for her work on human-centered interfaces, multimodal-multisensor interfaces, mobile interfaces, educational interfaces, the cognitive impact of computer input tools, and behavioral analytics. She originally received her PhD in Experimental Psychology at the University of Toronto, and she has been a professor of Computer Science, Information Technology, Psychology, and also Linguistics. Her research is known for its pioneering and multidisciplinary style at the intersection of Computer Science, Psychology, Linguistics, and Learning Sciences. Sharon has been recipient of the inaugural ACM-ICMI Sustained Accomplishment Award, National Science Foundation Special Creativity Award, ACM-SIGCHI CHI Academy Award, and an ACM Fellow Award for “contributions to the empirical and theoretical foundations of multimodal systems, and to human-centered computer interfaces,” awarded to the top 1% of the international computing community. She has published a large volume of high-impact papers in a wide range of multidisciplinary venues (Google Scholar citations >11,000; h-index 47) and is an Associate Editor of the main journals and edited book collections in the field of human-centered interfaces. Many of Sharon’s publications are considered classics that are required reading in HCI, mobile, and multimodal interface courses, including at top universities such as MIT and Stanford. Her recent books include The Design of Future Educational Interfaces (2013, Routledge Press), The Paradigm Shift to Multimodality in Contemporary Computer Interfaces (2015, Morgan-Claypool), and the multi-volume Handbook of Multimodal-Multisensor Interfaces (co-edited with Bjoern Schuller, Phil Cohen, Anthony Krueger, Gerasimos Potamianos and Daniel Sonntag, 2017-2018, ACM Books). She has delivered over 100 keynotes, invited talks and tutorials worldwide at conferences, universities and corporate events. Related to her ICMI 2018 tutorial, Sharon is one of the founders of the field of multimodal learning analytics.

Deep Learning for Multimodal and Multisensorial Interaction

Björn W. Schuller

Prof. Björn W. Schuller

Head of Group on Language Audio & Music,
Imperial College London, UK

Bio: Björn W. Schuller received his diploma, doctoral degree, habilitation, and Adjunct Teaching Professor all in EE/IT from TUM in Munich/Germany. He is the Head of GLAM - the Group on Language Audio & Music - at Imperial College London/UK, Full Professor and ZD.B Chair of Embedded Intelligence for Health Care and Wellbeing at the University of Augsburg/Germany, co-founding CEO and current CSO of audEERING, permanent Visiting Professor at HIT/China, and an Associate of the University of Geneva/Switzerland. Before, he was Full Professor at the University of Passau/Germany, and with Joanneum Research in Graz/Austria and the CNRS-LIMSI in Orsay/France. He is a Fellow of the IEEE, President-Emeritus of the AAAC, and Senior Member of the ACM. He (co-)authored 700+ publications (18000+ citations, h-index=66), and is the Editor in Chief of the IEEE Transactions on Affective Computing, General Chair of ACM ICMI 2014, ACII 2019, ACII Asia 2018, and a Program Chair of ACM ICMI 2019/2013, Interspeech 2019, ACII 2015/2011, and IEEE SocialCom 2012. He was honoured as Fellow of the IEEE, one of 40 extraordinary scientists under the age of 40 by the WEF, and Senior Member of the ACM. He has given more than a dozen tutorials at prime venues such as ACII, ACM Multimedia, EMBC, ICASSP, IJCAI, Interspeech, or IUI. Björn served as Coordinator/PI in 10+ European Projects, is an ERC Starting Grantee, and consultant of companies such as GN, Huawei or Samsung.

ICMI 2018 ACM International Conference on Multimodal Interaction. Copyright © 2018-2018