Date: March 15, 2016
Abstract: With the advent of powerful and inexpensive sensing technology the ability to study human behaviour and activity at large scale and for long periods is becoming a firm reality. Wearables and mobile devices further allow the continuous physical colocation with the users. This reality generates new challenges but also opens the door to potentially innovative ways of understanding our daily lives. In this talk we will discuss our experience in large mobile sensor deployments and in using complex network science for the analysis of mobile sensing data. We will discuss the issues raised by mobile sensing big data in terms of data crowdsourcing, continuous sensing challenges, data analysis, privacy, user feedback. Examples will be drawn from our healthcare, transport, urban planning and organization analytics studies..
Speaker Bio: Cecilia Mascolo is Full Professor of Mobile Systems in the Computer Laboratory, University of Cambridge, UK. Prior joining Cambridge in 2008, she has been a faculty member in the Department of Computer Science at University College London. She holds a PhD from the University of Bologna. Her research interests are in human mobility modelling, mobile and sensor systems and networking and spatio-temporal data analysis. She has published in a number of top tier conferences and journals in the area and her investigator experience spans more than twenty projects funded by Research Councils and industry. She has served as organizing and programme committee member of over fifty mobile, sensor systems and networking conferences and workshops. She sits on the editorial boards of IEEE Pervasive Computing, IEEE Transactions on Mobile Computing and ACM Transactions on Sensor Networks. More details at www.cl.cam.ac.uk/users/cm542.
Date: March 16, 2016
Abstract: What will be the next computing paradigm as the ubiquitous computing wave crests: autonomobiles, robots, virtual reality, internet of things, intelligent agents? While pundits search for the next big thing among a dizzying array of shiny ideas, the truth is that pervasive technologies have reached critical mass that we no longer need to ask "what if" and we can shift our attention to "what when". One picture of that future is a recasting of how we think about designing digital experiences - rather than systems that react to user direction, we can design systems that respond dynamically to the users' attention, engagement and context: Responsive Media. The same machine learning technologies that have made speech and image recognition surprisingly accurate are also enhancing our devices' abilities to sense user activities, emotions and intentions and to deliver services and information proactively. Media experiences will be dramatically changed by the next generation of these technologies embedded into smartphones and VR goggles and robots and smart homes and autonomobiles so that they not only sense the audience's engagement in real time, but they can also predict disengagement and prevent it by dynamically shifting the content to appeal to an individual's preferences, emotion state and situation. More than just media experiences, imagine robots that can sense a child's frustration and actively assist in the homework, digital assistants that do not interrupt inappropriately, semi-autonomobiles that ensure the media is not disrupting the driver's attention demands, and more. Responsive media will be more like an engaging conversation among humans, rather than just passive consumption. What are the requirements for a conversational interaction? This talk will paint a picture and challenge the audience to identify the remaining technology barriers, architectures, business ecosystems, threats, and yes, the killer applications. I seek your input as we create the future beyond ubiquitous computing.
Speaker Bio: Dr. Bo Begole is VP and Global Head of Huawei Technologies' Media Technologies Lab spanning locations in China, US, Europe and Russia to create the future of networked media technologies. Previously, he was a Sr. Director at Samsung Electronics' User Experience Center America where he directed a team to develop new contextually intelligent services for wearable, mobile and display devices. Prior to that, he was a Principal Scientist and Area Manager at Xerox PARC where he directed the Ubiquitous Computing research program creating behavior-modeling technologies, responsive media and intelligent mobile agents. He is the author of Ubiquitous Computing for Business (FT Press, 2011) and dozens of peer-reviewed research papers. He holds 30 issued patents and dozens pending. Dr. Begole is an ACM Distinguished Scientist, active in many research conferences and was recently co-Chair of CHI 2015, the ACM conference on human factors in computing systems, in Seoul, Korea. His teams have developed core technologies for products in video compression, unified communication, groupware, media interoperability, consumer electronics and contextual intelligence. Dr. Begole received a Ph.D. in computer science from Virginia Tech in 1998. Prior to his studies, he was enlisted in the US Army as an Arabic language interpreter.