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The application of validating and dialectical coaching strategies in a personalised virtual coach for obese emotional eaters

There is a growing number of eHealth interventionsaiming at enhancing lifestyle to address obesity. However, theexisting interventions do not take the emotional aspects ofobesity into account. Forty percent of the overweight populationis an emotional eater. Emotional eaters gain weight because ofpoor emotion regulation, not just due to bad eating habits. Weaim at developing a personalised virtual coach ‘Denk je zèlf!’providing support for self-regulation of emotions for obeseemotional eaters. This paper presents a research study protocolon validating persuasive coaching strategies in emotionregulation, based on Dialectical Behaviour Therapy, ultimatelytargeting behaviour change. Our goal is to design a personalisedeCoaching framework, allowing us to optimally translatesuccessful behaviour change mechanisms and techniques, suchas dialectical strategies, into personalised persuasive coachingstrategies.

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Preface – Second Workshop on Responsible Applied Artificial InTelligence (RAAIT)

Artificial Intelligence (AI) is increasingly shaping the way we work, live, and interact, leading to significant developments across various sectors of industry, including media, finance, business services, retail and education. In recent years, numerous high-level principles and guidelines for ‘responsible’ or ‘ethical’ AI have been formulated. However, these theoretical efforts often fall short when it comes to addressing the practical challenges of implementing AI in real-world contexts: Responsible Applied AI. The one-day workshop on Responsible Applied Artificial InTelligence (RAAIT) at HHAI 2024: Hybrid Human AI Systems for the Social Good in Malmö, Sweden, brought together researchers studying various dimensions of Responsible AI in practice.This was the second RAAIT workshop, following the first edition at the 2023 European Conference on Artificial Intelligence (ECAI) in Krakow, Poland.

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Domme vragen over...Kunstmatige intelligentie (met lector Rix Groenboom)

Hanze MAG-podcast Q&A door dummies S01E03.Van AI hebben onze dummies ‘bizar weinig’ verstand, maar ze zijn er wel heel nieuwsgierig naar. Hanze-lector Rix Groenboom weet er alles van, dus hoog tijd om flink wat vragen op hem af te vuren.Van schaakcomputer tot ChatGPT, in ruim twintig is AI razendsnel geëvolueerd, maar nooit is er meer aandacht voor geweest als het afgelopen jaar. Dankzij vooral ChatGPT maakt de hele wereld nu ineens kennis met alle mogelijkheden die AI biedt.Maar wat is nu eigenlijk AI? Waarom is een rekenmachine geen AI, maar een chatbot wel? Hoe voed je AI op? Hoe herkent ie fake news? Wat is een Large Language Model (LLM)? Hoe maak je onderscheid tussen AI-content en door mensen gemaakte content? En moeten we ons zorgen maken over de snelheid waarmee AI zich momenteel ontwikkelt? Wat is Q&A door dummies?Weten dat je iets niet weet is het begin van wijsheid… Wat dat betreft zijn onze hosts/dummies Maikel en Mattheüs al heel wijs. Ze weten heel goed dat ze niets weten, maar ze laten het er niet bij zitten!Elke maand interviewen ze een nieuwe expert, niet gehinderd door enige kennis van zaken. Maar wel met grenzeloze nieuwsgierigheid en een goede dosis humor. Daarnaast behandelen ze kijkersvragen die jij – ja jij! – kan insturen door een dm (of mailtje) te sturen naar één van de socials van HanzeMag.Onze experts komen uit allerlei vakgebieden en kunnen onderzoekers, lectoren, docenten, ondernemers, politici, dictators, banketbakkers, ervaringsdeskundigen en/of fulltime helpdeskmedewerkers zijn. Ben je nieuwsgierig maar hou je niet van suffe colleges? Zoek je een amusante en informatieve show om een half uurtje mee te vullen? Zoek niet verder, dit is… ⁠Q&A door Dummies⁠!Presentatie: Maikel van Duinen & Mattheüs DouwesBeeld: Bas SwavingGeluid: Cazism

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Built Environment Influences on Emotional State Loneliness among Young Adults during Daily Activities: An Experience Sampling Approach

Loneliness among young adults is a growing concern worldwide, posing serious health risks. While the human ecological framework explains how various factors such as socio-demographic, social, and built environment characteristics can affect this feeling, still, relatively little is known about the effect of built environment characteristics on the feelings of loneliness that young people experience in their daily life activities. This research investigates the relationship between built environment characteristics and emotional state loneliness in young adults (aged 18–25) during their daily activities. Leveraging the Experience Sampling Method, we collected data from 43 participants for 393 personal experiences during daily activities across different environmental settings. The findings of a mixed-effects regression model reveal that built environment features significantly impact emotional state loneliness. Notably, activity location accessibility, social company during activities, and walking activities all contribute to reducing loneliness. These findings can inform urban planners and municipalities to implement interventions that support youngsters’ activities and positive experiences to enhance well-being and alleviate feelings of loneliness in young adults. Specific recommendations regarding the built environment are (1) to create spaces that are accessible, (2) create spaces that are especially accessible by foot, and (3) provide housing with shared facilities for young adults rather than apartments/studios.

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Inclusive artificial intelligence

In the book, 40 experts speak, who explain in clear language what AI is, and what questions, challenges and opportunities the technology brings.

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Three-Questions-Method for Coping with the Emotional Burden of Nurses and Nursing Students during COVID-19

Background: Nurses and nursing students experienced an emotional burden while working during the COVID-19 outbreak. During the COVID-19 outbreak three questions for nurses working under these extreme circumstances were formulated: 1. What today’s events do you remember? 2. How do you feel (physically and mentally)? 3. Do you have enough support? The purpose of this study was to obtain insight into whether nurses and nursing students perceive that the use of the three-questions-method contributes to effective coping with the emotional burden during the COVID-19 outbreak. Methods: Focus group interviews were held with hospital nurses (n = 11) and nursing students with internships in mental health care (n = 2), hospital (n = 9), and homecare/nursing home care (n = 3) in September 2020 followed by twenty semi-structured interviews one year later. Results: Almost all nurses and nursing students named factors that contributed to the emotional burden: fear, powerlessness, frustration, lack of knowledge about COVID-19, and pressure to pass the internship. Participants indicated that using the three-questions-method can help to effectively cope with the emotional burden during and after the COVID-19 outbreak. Conclusions: Using the three-questions-method offers added value in coping with emotional burden and can be used in education as well as in practice.

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Parents’ perspectives on adolescent social emotional learning:

Worldwide, schools implement social-emotional learning programs to enhance students' social-emotional skills. Although parents play an essential role in teaching these skills, knowledge about their perspectives on social-emotional learning is limited. In providing insight into the perspectives of parents from adolescent students this paper adds to this knowledge. An explorative qualitative study was conducted to gain insight into parents' perspectives on adolescent social-emotional learning. A broadly used professional framework for social emotional learning was used as a frame of reference in interviews with parents from diverse backgrounds. Within and across case analyses were applied to analyze the interviews. A conceptual model of four social-emotional skills constructs considered crucial learning by parents emerged from the data: respectful behavior, cooperation, self-knowledge and self-reliance. Parents' language, interpretations and orderings of skills indicate that the model underlying these constructs differs from skills embedded in the professional framework.

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Developing Team Design Patterns for Hybrid Intelligence Systems

With artificial intelligence (AI) systems entering our working and leisure environments with increasing adaptation and learning capabilities, new opportunities arise for developing hybrid (human-AI) intelligence (HI) systems, comprising new ways of collaboration. However, there is not yet a structured way of specifying design solutions of collaboration for hybrid intelligence (HI) systems and there is a lack of best practices shared across application domains. We address this gap by investigating the generalization of specific design solutions into design patterns that can be shared and applied in different contexts. We present a human-centered bottom-up approach for the specification of design solutions and their abstraction into team design patterns. We apply the proposed approach for 4 concrete HI use cases and show the successful extraction of team design patterns that are generalizable, providing re-usable design components across various domains. This work advances previous research on team design patterns and designing applications of HI systems.

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The application of validating and dialectical coaching strategies in a personalised virtual coach for obese emotional eaters

Preface – Second Workshop on Responsible Applied Artificial InTelligence (RAAIT)

Domme vragen over...Kunstmatige intelligentie (met lector Rix Groenboom)

Built Environment Influences on Emotional State Loneliness among Young Adults during Daily Activities: An Experience Sampling Approach

Inclusive artificial intelligence

Three-Questions-Method for Coping with the Emotional Burden of Nurses and Nursing Students during COVID-19

Parents’ perspectives on adolescent social emotional learning:

Developing Team Design Patterns for Hybrid Intelligence Systems

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The application of validating and dialectical coaching strategies in a personalised virtual coach for obese emotional eaters

Preface – Second Workshop on Responsible Applied Artificial InTelligence (RAAIT)

Domme vragen over...Kunstmatige intelligentie (met lector Rix Groenboom)

Built Environment Influences on Emotional State Loneliness among Young Adults during Daily Activities: An Experience Sampling Approach

Inclusive artificial intelligence

Three-Questions-Method for Coping with the Emotional Burden of Nurses and Nursing Students during COVID-19

Parents’ perspectives on adolescent social emotional learning:

Developing Team Design Patterns for Hybrid Intelligence Systems