This approach strips away the possibility of measuring interaction quality, pushing the research focus more towards larger scale sociological studies that try to find generalisable patterns of human behaviour and its relation with their affective experience. However, when we step away from more restrictive social settings to cases where people are free to move around as they wish, most research (stemming from the ubiquitous and pervasive computing community ) have tended to apply proxies such as co-location as a measure of social interaction. Fortunately, with the rising popularity of wearable technologies, there is an opportunity to digitize momentary social experiences as they unfold in the real world. The drive for an interdisciplinary approach stems a lot from the idea that computational tools that could have the most impact for enhancing social experience must necessarily be embedded in people's everyday lives. While the text above may sound like the start of a social science presentation, in this talk, Hung argued that in order to enhance the quality of human social experience where it could have the greatest benefit, we need an inherently interdisciplinary approach combining both social science and computer science. Studying how social interactions unfold and how these can affect or enhance social relationships taps into human's instinctive perception of the experience of social interactions. In today's society, one can consider social bonding to be important in relationships with a romantic partner, friends, and family or with professional colleagues. Social bonding is a key component in human collaboration and with it, comes the possibility to achieve more as a group than as an individual. Humans interact with one another on a daily basis. She leads the Perceptive Computing Lab, which is part of the Pattern Recognition and Bioinformatics Group. Hayley Hung, Associate Professor at the Technical University of Delft. Unfortunately there is no video of this colloquium. I will explain the algorithmic improvements, and also show how we have applied these in the health domain. In this talk, I will focus on three algorithmic innovations we have made to improve the applicability of RL in the health domain: (1) sample efficient RL (2) safe RL with domain knowledge, and (3) explainable RL. Reinforcement Learning (RL) is a very natural fit, however it comes with some characteristics that do not fit the medical domain well. Such decision can be supported by AI-driven models. Just think of a doctor continuously modifying the ventilator of an intubated ICU patient or changing the dosage of fluids administered depending on how the patient is doing. In healthcare many of the decisions made are of a sequential nature. Mark Hoogendoorn, Full Professor of Artificial Intelligence, VU, Amsterdam You can leave our website to view this video. This video can not be shown because you did not accept cookies. Welcome to contact us.Reinforcement Learning for Health and Wellbeing You curious and want to know more? Or start a Nightingale program. Where two persons are engaging in various activities together and learn from Working in the Nightingale concept, it enable more than one thousand childrenĪnd mentors to get together every week in Europe. Meetings Students who have had mentors themselves and now as University student they choose In the Nightingale mentoring program we now have Gain new knowledge and insight into children’s different lives and living Other’s lives and thinking. For students it is a unique possibility to Mentoring is individual learning opportunities – a chance to break into each Is building bridges not walls- one way to create a sustanable society. Others as individuals and not as spoke persons for particular religious –Īm convinced that meetings can change attitudes quicker than information everĬan and when bonds of friendship are sealed prejudices often fall away. Meet others – often different from themselves. Mentoring is the double benefits of joy and learning and the opportunity to It is also an unique possibility for children to come to the University and hear the mentors talk about their own way to the university and give children future hope.įor mentors it is also an unique possibility to get access to a child´s view showing respect and treating the child with dignity. More than twenty five years of experience in the Nightingale program has convinced me that mentoring has a positive impact on both children and mentors.Ī mentor can serve as a supportive person, promoting learning and support children in their development. Indeed, it is the only thing that ever has.’ Margaret ‘Never doubt that a small group of thoughtful committed citizens can change
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