AutomotiveUI 2013 - 2nd Workshop on "The Social Car" (October 27, 2013)

Andreas Riener

is a postdoctoral research fellow at the Institute of Pervasive Computing at the University of Linz (Austria). He has more than 60 refereed publications in the broader field of (implicit) human-computer interaction and context-aware computing. His core competence and current research focus is driver vital state recognition from embedded sensors, multimodal sensor and actuator systems, context-sensitive data processing/context-aware computing and implicit interaction influencing the driver-vehicle interaction loop. Andreas is and has been engaged in several EU- and industrial-funded research projects. Andreas is member of the Austrian Computer Society (OCG) and IEEE Member, and member of the Human Factors and Ergonomics Society (HFES), Europe Chapter.

Myounghoon "Philart" Jeon

is an assistant professor in the Department of Cognitive and Learning Sciences at Michigan Tech. His research areas encompass auditory displays, affective computing, assistive technology, and automotive interface design. His research has yielded around 60 publications across various journals and conference proce edings. He received his PhD from Georgia Tech in 2012. His dissertation focused on the design of in-vehicle emotion regulation interfaces using auditory displays. Previously, he worked at LG Electronics and was responsible for all of their automotive UIs & sound designs.

Ignacio Alvarez

is currently research assistant at the Human-Centered Computing Lab in Clemson University focusing on Automotive User Interaction design and its relation to driver distraction. Furthermore he is project manager in BMW for Connected Drive and Innovations for the Asia Pacific Area, where he directs the development of vehicle telematic functions for driver assistance, security, infotainment and location based services. He obtained his PhD in Computer Science and Artificial Intelligence at University of the Basque Country in Spain in 2012. His dissertation focused on the development of natural vehicle voice interfaces adaptive to the driver distraction level.