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    Chapter and Conference Paper

    Improving the Recommendations of Meals in the PROMISS Application

    The PROMISS application is specifically built to let older adults keep track of their diet and protein intake. To improve the user-experience of this application, we study how machine learning algorithms can b...

    Dewi Spooren, Laura M. van der Lubbe in Smart Objects and Technologies for Social Goods (2023)

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    Chapter and Conference Paper

    Using Topic Modelling to Personalise a Digital Self-compassion Training

    Young adults that struggle with mental health issues experience barriers to seek help. With our online self-compassion training we try to overcome some of these barriers. To improve our training, we can person...

    Laura M. van der Lubbe, Nina Groot in Pervasive Computing Technologies for Healt… (2022)

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    Chapter and Conference Paper

    A Serious Game for Training Verbal Resilience to Doorstep Scams

    People are frequently confronted with scams; swindlers trying to gain your trust to get hold of your personal information, money or belongings. Elderly people are especially vulnerable to these tricks, that ty...

    Laura M. van der Lubbe, Charlotte Gerritsen, Daniel Formolo in Games and Learning Alliance (2019)

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    Chapter and Conference Paper

    Design of an Agent-Based Learning Environment for High-Risk Doorstep Scam Victims

    Doorstep scams are scams, often happening at the front door, in which a con artist has a convincing, but fraudulent, story with the purpose of coming into your house and/or stealing money. Various campaigns to...

    Laura M. van der Lubbe, Tibor Bosse in Highlights of Practical Applications of Ag… (2018)

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    Chapter and Conference Paper

    Modeling Internalizing and Externalizing Behaviour in Autism Spectrum Disorders

    This paper presents a neurologically inspired computational model for Autism Spectrum Disorders addressing internalizing and externalizing behaviour. The model has been verified by mathematical analysis and it...

    Laura M. van der Lubbe, Jan Treur in Computational Collective Intelligence (2016)