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Behaviour Grid for Improving Safety in Industrial Environment

The Saxion University of Applied Sciences recently started the project “Safety atWork”. The objective of the project is to increase safety at the workplace by applyingand combining state of the art artifacts Ambient Intelligence, Industrial & ProductDesign and Smart Functional Materials [1].There is a human factor involved as well. Preliminary, safety is related to incidentshappening to persons who get injured or even die. In 97% of the cases where an injuryoccurs [2] that what happens is within someone’s control. Many incidents at work areoften the result of human behavior, how people interact with each other and howpeople cope with risks and guidelines. Industrial environments need to be organizedin such a way that people behave safely in an automatic way and that safety becomesa habit. Forcing safe behavior starts with safe products. However, in many cases thisis not sufficient, and incidents still occur. Therefore communication is often a moreeffective medium. One cost effective, asynchronous, and persisting way ofcommunicating to people is through ICT. The effort of changing behavior throughICT is called Persuasive Technology. In this paper we focus on ambient aspects ofsafety: influencing people in an invisible way to make industrial environments safer.Based on literature we work towards a model to systematically select measures toinfluence behavior to enhance safety. The model is a rudimentary framework still tobe filled out, which is the subject of our current research projects.

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Behaviour Grid for Improving Safety in Industrial Environment

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Safety at Work

In this document, we provide the methodological background for the Safety atWork project. This document combines several project deliverables as defined inthe overall project plan: validation techniques and methods (D5.1.1), performanceindicators for safety at work (D5.1.2), personal protection equipment methods(D2.1.2), situational awareness methods (D3.1.2), and persuasive technology methods(D4.1.2).

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Een verkenning van competentieontwikkeling in leeromgevingen op de grens van opleiding en beroepspraktijk

In het hoger onderwijs zijn diverse hybride leeromgevingen ontstaan op het snijvlak van onderwijs en werkveld. Dit artikel verkent hoe deze leeromgevingen adaptief vermogen, zelfsturend leervermogen en multidisciplinair samenwerken stimuleren. Bij 12 hybride leeromgevingen zijn 42 interviews afgenomen, waarin drie categorieën van interventies zijn geïdentificeerd: 1) coaching gericht op het stellen van doelen, monitoren van voortgang, en reflectie dat zelfsturing ondersteunt (2) structureren van taken zodat planvorming en reflectie elkaar kort-cyclisch opvolgen, en (3) inzetten van werkvormen gericht op leren kennen en benutten van elkaars kwaliteiten en perspectieven zodat deze perspectieven worden ingezet in besluitvorming. Deze interventies in combinatie met kenmerken van de leeromgeving zoals het werken aan wicked problems, verantwoordelijkheid krijgen, tijd om te leren en diversiteit aan stakeholders, lijken adaptief vermogen, zelfsturend leervermogen en multidisciplinair samenwerken te stimuleren.

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Een verkenning van competentieontwikkeling in leeromgevingen op de grens van opleiding en beroepspraktijk

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Simulating Mechanics to Study Emergence in Games

This paper presents the latest version of the Machinations framework. This framework uses diagrams to represent the flow of tangible and abstract resources through a game. This flow represents the mechanics that make up a game’s interbal economy and has a large impact on the emergent gameplay of most simulation games, strategy games and board games. This paper shows how Machinations diagrams can be used simulate and balance games before they are built.

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Simulating Mechanics to Study Emergence in Games

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Adaptation to stressors: Hormesis as a framework for human performance

Although stressors are frequently linked to several negative health outcomes, experiencing stressors may be necessary for enhancing performance. At present, the literature is lacking a unified, comprehensive framework that accounts for both positive and negative outcomes following stressors. Therefore, we introduce the framework of hormesis, which has been applied in biological research for decades. According to hormesis, small-to-medium doses of a stressor can stimulate an organism's response, while large doses cause detrimental effects. In this article, we argue that these dose-response dynamics can be found in various domains of performance psychology (i.e., eustress and distress, psychological momentum, emotions, motivation, confidence, cognitive performance, training, skill acquisition, adversity, and trauma). Furthermore, hormesis also accounts for the inter- and intra-individual variability commonly found in responses to stressors. Finally, from an applied perspective, leveraging hormesis may stimulate new psychological interventions that mimic the well-known effects of (toxic) vaccinations at the level of behavior.

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Adaptation to stressors: Hormesis as a framework for human performance

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An optimization-simulation closed-loop feedback framework for modeling the airport capacity management problem under uncertainty

This paper presents an innovative approach that combines optimization and simulation techniques for solving scheduling problems under uncertainty. We introduce an Opt–Sim closed-loop feedback framework (Opt–Sim) based on a sliding-window method, where a simulation model is used for evaluating the optimized solution with inherent uncertainties for scheduling activities. The specific problem tackled in this paper, refers to the airport capacity management under uncertainty, and the Opt–Sim framework is applied to a real case study (Paris Charles de Gaulle Airport, France). Different implementations of the Opt–Sim framework were tested based on: parameters for driving the Opt–Sim algorithmic framework and parameters for riving the optimization search algorithm. Results show that, by applying the Opt–Sim framework, potential aircraft conflicts could be reduced up to 57% over the non-optimized scenario. The proposed optimization framework is general enough so that different optimization resolution methods and simulation paradigms can be implemented for solving scheduling problems in several other fields.

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An optimization-simulation closed-loop feedback framework for modeling the airport capacity management problem under uncertainty

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The SOS-framework (Systems of Sedentary behaviours): an international transdisciplinary consensus framework for the study of determinants, research priorities and policy on sedentary behaviour across the life course

AbstractBackground: Ecological models are currently the most used approaches to classify and conceptualise determinantsof sedentary behaviour, but these approaches are limited in their ability to capture the complexity of and interplaybetween determinants. The aim of the project described here was to develop a transdisciplinary dynamic framework,grounded in a system-based approach, for research on determinants of sedentary behaviour across the life span andintervention and policy planning and evaluation.Methods: A comprehensive concept mapping approach was used to develop the Systems Of Sedentary behaviours(SOS) framework, involving four main phases: (1) preparation, (2) generation of statements, (3) structuring (sorting andranking), and (4) analysis and interpretation. The first two phases were undertaken between December 2013 andFebruary 2015 by the DEDIPAC KH team (DEterminants of DIet and Physical Activity Knowledge Hub). The lasttwo phases were completed during a two-day consensus meeting in June 2015.

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The SOS-framework (Systems of Sedentary behaviours): an international transdisciplinary consensus framework for the study of determinants, research priorities and policy on sedentary behaviour across the life course

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ICT research methods for machine learning engineering

The current set of research methods on ictresearchmethods.nl contains only one research method that refers to machine learning: the “Data analytics” method in the “Lab” strategy. This does not reflect the way of working in ML projects, where Data Analytics is not a method to answer one question but the main goal of the project. For ML projects, the Data Analytics method should be divided in several smaller steps, each becoming a method of its own. In other words, we should treat the Data Analytics (or more appropriate ML engineering) process in the same way the software engineering process is treated in the framework. In the remainder of this post I will briefly discuss each of the existing research methods and how they apply to ML projects. The methods are organized by strategy. In the discussion I will give pointers to relevant tools or literature for ML projects.

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Towards a global quality framework for assistive technology service delivery

Assistive technology supports maintenance or improvement of an individual’s functioning and independence, though for people in need the access to assistive products is not always guaranteed. This paper presents a generic quality framework for assistive technology service delivery that can be used independent of the setting, context, legislative framework, or type of technology. Based on available literature and a series of discussions among the authors, a framework was developed. It consists of 7 general quality criteria and four indicators for each of these criteria. The criteria are: accessibility; competence; coordination; efficiency; flexibility; user centeredness, and infrastructure. This framework can be used at a micro level (processes around individual users), meso level (the service delivery scheme or programme) or at a macro level (the whole country). It aims to help identify in an easy way the main strengths and weaknesses of a system or process, and thus guide possible improvements. As a next step in the development of this quality framework the authors propose to organise a global consultancy process to obtain responses from stakeholders across the world and to plan a number of case studies in which the framework is applied to different service delivery systems and processes in different countries.

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Behaviour Grid for Improving Safety in Industrial Environment

Safety at Work

Een verkenning van competentieontwikkeling in leeromgevingen op de grens van opleiding en beroepspraktijk

Simulating Mechanics to Study Emergence in Games

Adaptation to stressors: Hormesis as a framework for human performance

An optimization-simulation closed-loop feedback framework for modeling the airport capacity management problem under uncertainty

The SOS-framework (Systems of Sedentary behaviours): an international transdisciplinary consensus framework for the study of determinants, research priorities and policy on sedentary behaviour across the life course

ICT research methods for machine learning engineering

Towards a global quality framework for assistive technology service delivery

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Products 180

Behaviour Grid for Improving Safety in Industrial Environment

Safety at Work

Een verkenning van competentieontwikkeling in leeromgevingen op de grens van opleiding en beroepspraktijk

Simulating Mechanics to Study Emergence in Games

Adaptation to stressors: Hormesis as a framework for human performance

An optimization-simulation closed-loop feedback framework for modeling the airport capacity management problem under uncertainty

The SOS-framework (Systems of Sedentary behaviours): an international transdisciplinary consensus framework for the study of determinants, research priorities and policy on sedentary behaviour across the life course

ICT research methods for machine learning engineering

Towards a global quality framework for assistive technology service delivery