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Keynote Lectures

Brain-inspired medical image analysis for computer-aided diagnosis
Bart M. ter Haar Romeny, Eindhoven University of Technology (TU/e), Netherlands

Enhancing well-being through psychophysiology
Joyce Westerink, Philips Research and Eindhoven University of Technology (TU/e), Netherlands

Designing for Somaesthetic Experiences - focusing on actuation rather than sensing?
Kristina Höök, Royal Institute of Technology, Sweden

An Unobtrusive System to Measure, Assess, and Predict Cognitive Workload in Real-World Environments
Bethany Bracken, Charles River Analytics Inc., United States

 

 

Brain-inspired medical image analysis for computer-aided diagnosis

Bart M. ter Haar Romeny
Eindhoven University of Technology (TU/e)
Netherlands


Brief Bio
Bart M. ter Haar Romeny received the MSc degree in Applied Physics from Delft University of Technology in 1978, Ph.D. from Utrecht University in 1983 in biophysics. He became principal physicist of the Utrecht University Hospital Radiology Department. He was co-founder and associate professor at the Image Sciences Institute (ISI) of Utrecht University (1989-2001). From 2001, ter Haar Romeny holds the chair of Biomedical Image Analysis at the Department of Biomedical Engineering of Eindhoven University of Technology in the Netherlands, and since 2011 is appointed distinguished professor at Northeastern University, Shenyang, China. He closely collaborates with Philips Healthcare and Philips Research, other industries and (national and international) hospitals and research groups. Currently he is project leader of the Sino-Dutch RetinaCheck project, a large screening project for early detection of diabetic retinopathy in Liaoning, China.

He authored an interactive tutorial book on multi-scale computer vision techniques, edited a book on non-linear diffusion theory in computer vision and is involved in (resp. initiated) a number of international collaborations on these subjects. He is author/co-author of over 200 refereed journal and conference papers, 12 books and book chapters, and holds 2 patents. He supervised 29 PhD students, of which 4 graduated cum laude, and over 140 Master students. He is senior member of IEEE, associate member of the Chinese Brainnetome consortium, visiting professor at the Chinese Academy of Sciences in Beijing, member of the Governing Board of IAPR, Fellow of EAMBES, and chairman of the Dutch Society for Pattern Recognition and Image Processing.


Abstract
Discoveries on brain mechanisms have really taken off. Modern optical and new MRI technologies give insight in this spectacular organ, especially in the field of vision. Of mutual benefit are new developments in deep learning and neural network modeling, the mathematical understanding, and the availability of massively parallel computing power. The lecture will address a number of lessons to learn from the brain for medical computer-aided diagnosis, explain the mathematical intuition of a number of algorithms, and show some remarkable successes booked so far.

 

 

Enhancing well-being through psychophysiology

Joyce Westerink
Philips Research and Eindhoven University of Technology (TU/e)
Netherlands


Brief Bio
Joyce Westerink (1960) was originally trained as a physicist and afterwards expanded her horizon towards human-technology. She is affiliated with Philips Research (NL), where her research focuses on psychological topics in a technological context, such as visual perception & image quality, human factors & user interfaces, and more recently psychophysiology in the context of emotions, wellbeing and affective computing. She currently holds a chair on Wellbeing and Psychophysiology in Human-Technology Interaction at Eindhoven University of Technology. Written output of her work can be found in some 40 articles in books and international journals, and some15 US patents and patent applications.


Abstract
Wellbeing is of importance to all of us, yet it is under constant pressure in our 24/7 economy. Our mental state is reflected to some extent in bodily parameters like heart rate and skin conductance, and we can measure them in real life using wearable sensing technology. Therefore, the hope is that such psychophysiological measurements might help us find an optimal balance in our busy lives. The lecture will discuss a number of promising application areas. Among them is bringing stress awareness through monitoring physiology, e.g. showing a user his stress pattern as it develops over the day. Another use of the psychophysiological signals is for biofeedback, so that a user is optimally guided in specific relaxation exercises. By placing the user in the center of a closed optimization loop we might achieve such improvements in a completely effortless way. Finally, psychophysiological signals can also facilitate communication between persons, for instance allowing people to see whether they are in sync.

 

 

Designing for Somaesthetic Experiences - focusing on actuation rather than sensing?

Kristina Höök
Royal Institute of Technology
Sweden


Brief Bio
Kristina Höök is a professor in Interaction Design at the Royal Institute of Technology and also works part-time at SICS (Swedish Institute of Computer Science). She is the director of the Mobile Life centre. Höök has published numerous journal papers, books and book chapters, and conference papers in highly renowned venues. A frequent keynote speaker, she is known for her work on social navigation, seamfulness, mobile services, affective interaction and lately, designing for bodily engagement in interaction through somaesthetics. Her competence lies mainly in interaction design and user studies helping to form design.  She has obtained numerous national and international grants, awards, and fellowships including the Cor Baayen Fellowship by ERCIM (European Research Consortium for Informatics and Mathematics), the INGVAR award and she is an ACM Distinguished Scientist. She has been listed as one of the 50 most influential IT-women in Sweden every year since 2008. She is an elected member of Royal Swedish Academy of Engineering Sciences (IVA).


Abstract
In designing for bodily experiences, there has been a lack of theories that can provide the underpinnings we need to understand and deepen our design thinking. Despite all the work we have seen on designing for embodiment, the actual corporeal, pulsating, live, felt body has been notably absent from both theory and practical work. At the same time, digital products have become an integral part of the fabric of everyday life, the pleasures (and pains) they give, their contribution to our social identity, or their general aesthetics are now core features of their design. We see more and more attempts to design explicitly for bodily experiences with digital technology, but it is a notably challenging design task.  With the advent of new technologies, such as biosensors worn on your body, interactive clothes, or wearable computers such as mobiles equipped with accelerometers, a whole space of possibilities for gesture-based, physical and body-based interaction is opened. How can we do a better job in interaction design involving our bodies? I will discuss how Shusterman’s theories of somaesthetics might provide some inspiration, and the need to focus on actuation rather than sensing.

 

 

An Unobtrusive System to Measure, Assess, and Predict Cognitive Workload in Real-World Environments

Bethany Bracken
Charles River Analytics Inc.
United States


Brief Bio
Dr. Bethany Bracken, is a Senior Scientist at Charles River Analytics. Throughout her career, Dr. Bracken has used a variety of behavioral, physiological, cognitive, molecular, and neuroimaging methodologies in both humans and animals to answer questions about the neurobiology of behavior. At Charles River, she currently works on projects using neurophysiological and physiological sensing methods to assess human states such as stress, focused attention, and cognitive workload and to predict upcoming performance deficits to allow time to enact augmentation strategies to optimize that performance. Dr. Bracken has a B.S. in Psychology from Clarion University of Pennsylvania, and a Ph.D. in Neuroscience from Brandeis University. Before joining Charles River Analytics, Dr. Bracken completed a postdoctoral fellowship, quickly followed with a promotion to the faculty level, in the department of Psychiatry at McLean Hospital and Harvard Medical School.


Abstract
Bethany Bracken, Noa Palmon, Seth Elkin-Frankston, Scott Irvin, Michael Jenkins & Michael Farry

Across many careers, individuals face alternating periods of high and low attention and cognitive workload, which can result in impaired cognitive functioning and can be detrimental to job performance. For example, some professions (e.g., fire fighters, emergency medical personnel, doctors and nurses working in an emergency room, pilots) require long periods of low workload (boredom), followed by sudden, high-tempo operations during which they may be required to respond to an emergency and perform at peak cognitive levels. Conversely, other professions (e.g., air traffic controllers, market investors in financial industries, analysts) require long periods of high workload and multitasking during which the addition of just one more task results in cognitive overload resulting in mistakes.An unobtrusive system to measure, assess, and predict cognitive workload could warn individuals, their teammates, or their supervisors when steps should be taken to augment cognitive readiness. In this talk I will describe an approach to this problem that we have found to be successful across work domains includes: (1) a suite of unobtrusive, field-ready neurophysiological, physiological, and behavioral sensors that are chosen to best suit the target environment; (2) custom algorithms and statistical techniques to process and time-align raw data originating from the sensor suite; (3) probabilistic and statistical models designed to interpret the data into the human state of interest (e.g., cognitive workload, attention, fatigue); (4) and machine-learning techniques to predict upcoming performance based on the current pattern of events, and (5) display of each piece of information depending on the needs of the target user who may or may not want to drill down into the functioning of the system to determine how conclusions about human state and performance are determined. I will then focus in on our experimental results from our custom functional near-infrared spectroscopy sensor, designed to operate in real-world environments to be worn comfortably (e.g., positioned into a baseball cap or a surgeon’s cap) to measure changes in brain blood oxygenation without adding burden to the individual being assessed.


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