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The Participant Journey Map: Understanding the design of interactive Augmented Play Spaces

Augmented Play Spaces (APS) are (semi-) public environments where playful interaction isfacilitated by enriching the existing environment with interactive technology. APS canpotentially facilitate social interaction and physical activity in (semi-)public environments. Incontrolled settings APS show promising effects. However, people’s willingness to engagewith APSin situ, depends on many factors that do not occur in aforementioned controlledsettings (where participation is obvious). To be able to achieve and demonstrate thepositive effects of APS when implemented in (semi-)public environments, it is important togain more insight in how to motivate people to engage with them and better understandwhen and how those decisions can be influenced by certain (design) factors. TheParticipant Journey Map (PJM) was developed following multiple iterations. First,based on related work, and insights gained from previously developed andimplemented APS, a concept of the PJM was developed. Next, to validate and refinethe PJM, interviews with 6 experts with extensive experience with developing andimplementing APS were conducted. Thefirst part of these interviews focused oninfluential (design) factors for engaging people into APS. In the second part, expertswere asked to provide feedback on thefirst concept of the PJM. Based on the insightsfrom the expert interviews, the PJM was adjusted and refined. The Participant JourneyMap consists of four layers: Phases, States, Transitions and Influential Factors. There aretwo overarchingphases:‘Onboarding’and‘Participation’and 6statesa (potential)participant goes through when engaging with an APS:‘Transit,’‘Awareness,’‘Interest,’‘Intention,’‘Participation,’‘Finishing.’Transitionsindicate movements between states.Influential factorsare the factors that influence these transitions. The PJM supportsdirections for further research and the design and implementation of APS. Itcontributes to previous work by providing a detailed overview of a participant journeyand the factors that influence motivation to engage with APS. Notable additions are thedetailed overview of influential factors, the introduction of the states‘Awareness,’‘Intention’and‘Finishing’and the non-linear approach. This will support taking intoaccount these often overlooked, key moments in future APS research and designprojects. Additionally, suggestions for future research into the design of APS are given.

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The Participant Journey Map: Understanding the design of interactive Augmented Play Spaces

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Rapid DNA Technologies at the Crime Scene

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A unified algorithm for BRDF matching.

This paper generalizes existing BRDF fitting algorithms presented in the literature that aims to find a mapping of the parameters of an arbitrary source material model to the parameters of a target material model. A material model in this context is a function that maps a list of parameters, such as roughness or specular color, to a BRDF. Our conversion function approximates the original model as close as possible under a chosen similarity metric, either in physical reflectivities or perceptually, and calculates the error with respect to this conversion. Our conversion function imposes no constraints other than that the dimensionality of the represented BRDFs match.

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Self-localization based on visual lane marking maps

Autonomous driving in public roads requires precise localization within the range of few centimeters. Even the best localization systems based on GNSS cannot always reach this level of precision, especially in an urban environment, where the signal is disturbed by surrounding buildings and artifacts. Recent works have shown the advantage of using maps as a precise, robust, and reliable way of localization. Typical approaches use the set of current readings from the vehicle sensors to estimate its position on the map. The approach presented in this paper exploits a short-range visual lane marking detector and a dead reckoning system to construct a registry of the detected back lane markings corresponding to the last 240 m driven. This information is used to search in the map the most similar section, to determine the vehicle localization in the map reference. Additional filtering is used to obtain a more robust estimation for the localization. The accuracy obtained is sufficiently high to allow autonomous driving in a narrow road. The system uses a low-cost architecture of sensors and the algorithm is light enough to run on low-power embedded architecture.

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Parsons Revisited

The purpose of this article is to explore innovative and adaptive ways of matching people with jobs in the context of a Dutch policy initiative aimed at the skills mismatch in the region of Amsterdam. This is an important and urgent issue because of the challenges of the future labor market, in which technological disruption and socio-economic forces affect the content and conditions of jobs and occupations. Powered by digital technology and data-driven approaches it is possible to design ‘?ne-grained’ matching systems based on skills or competences. The article combines an exploration of occupational taxonomies, skills frameworks and good practices of these skills-based applications with a theoretical discussion on the relevance and adaptations of Person-Environment Fit and matching theories. The article shows that these new forms of innovative, adaptive and ?uid matching have bene?ts for policy-makers, employers and jobseekers alike. In the discussion section some critical remarks are made on the matching theory and its application in contemporary instruments and tools. https://www.ojs.tnkul.pl/index.php/jpepsi/article/view/9624

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Design of wind and solar energy supply, to match energy demand

Renewable energy sources have an intermittent character that does not necessarily match energy demand. Such imbalances tend to increase system cost as they require mitigation measures and this is undesirable when available resources should be focused on increasing renewable energy supply. Matching supply and demand should therefore be inherent to early stages of system design, to avoid mismatch costs to the greatest extent possible and we need guidelines for that. This paper delivers such guidelines by exploring design of hybrid wind and solar energy and unusual large solar installation angles. The hybrid wind and solar energy supply and energy demand is studied with an analytical analysis of average monthly energy yields in The Netherlands, Spain and Britain, capacity factor statistics and a dynamic energy supply simulation. The analytical focus in this paper differs from that found in literature, where analyses entirely rely on simulations. Additionally, the seasonal energy yield profile of solar energy at large installation angles is studied with the web application PVGIS and an hourly simulation of the energy yield, based on the Perez model. In Europe, the energy yield of solar PV peaks during the summer months and the energy yield of wind turbines is highest during the winter months. As a consequence, three basic hybrid supply profiles, based on three different mix ratios of wind to solar PV, can be differentiated: a heating profile with high monthly energy yield during the winter months, a flat or baseload profile and a cooling profile with high monthly energy yield during the summer months. It is shown that the baseload profile in The Netherlands is achieved at a ratio of wind to solar energy yield and power of respectively Ew/Es = 1.7 and Pw/Ps = 0.6. The baseload ratio for Spain and Britain is comparable because of similar seasonal weather patterns, so that this baseload ratio is likely comparable for other European countries too. In addition to the seasonal benefits, the hybrid mix is also ideal for the short-term as wind and solar PV adds up to a total that has fewer energy supply flaws and peaks than with each energy source individually and it is shown that they are seldom (3%) both at rated power. This allows them to share one cable, allowing “cable pooling”, with curtailment to -for example-manage cable capacity. A dynamic simulation with the baseload mix supply and a flat demand reveals that a 100% and 75% yearly energy match cause a curtailment loss of respectively 6% and 1%. Curtailment losses of the baseload mix are thereby shown to be small. Tuning of the energy supply of solar panels separately is also possible. Compared to standard 40◦ slope in The Netherlands, facade panels have smaller yield during the summer months, but almost equal yield during the rest of the year, so that the total yield adds up to 72% of standard 40◦ slope panels. Additionally, an hourly energy yield simulation reveals that: façade (90◦) and 60◦ slope panels with an inverter rated at respectively 50% and 65% Wp, produce 95% of the maximum energy yield at that slope. The flatter seasonal yield profile of “large slope panels” together with decreased peak power fits Dutch demand and grid capacity more effectively.

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Design of wind and solar energy supply, to match energy demand

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Mapping mentor teachers' roles in mentoring dialogues

The dialogue between a mentor teacher and a prospective teacher is a key element in the supervision of prospective teachers in the workplace. This literature study deals with the issue of how to conceptualize the supervisory behaviour of mentor teachers in mentoring dialogues by systematically examining empirical literature on aspects of mentor teachers' behaviour during dialogues with prospective teachers. From the findings a model is derived which can be used to describe and map mentor teachers' behaviour in mentoring dialogues. The model may be helpful in the further development of the quality of mentor teachers' behaviour in mentoring dialogues.

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Mapping mentor teachers' roles in mentoring dialogues

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Heel Holland matcht?

In de context van de zeer dynamische en steeds krapper wordende arbeidsmarkt anno 2022 pleiten verschillende organisaties voor het centraal stellen op de arbeidsmarkt van vaardigheden ofwel ‘skills’. In Nederland zijn er verschillende initiatieven gericht op het ontwikkelen van een skillsmarkt, maar van het grootschalig samenbrengen van werkzoekenden en werkgevers aan de hand van skills is voorlopig nog geen sprake. Dat komt mede omdat werkgevers de meerwaarde van skillsbenaderingen vaak nog te onduidelijk vinden. In dit artikel bespreken wij eerst de fundamentele bouwstenen van skillsmatches om vervolgens vanuit het perspectief van de werkgever de meerwaarde en vereisten van skillsmatching door te nemen. Fundamenteel aan skillsmatching is het in beeld brengen van skills. Daarvoor is het belangrijk om skills te objectiveren, aan te tonen en te wegen. Die skills kunnen vervolgens gebruikt worden tijdens het matchingsproces om vraag en aanbod op de arbeidsmarkt op basis van skills samen te brengen. Dat kan lonen voor werkgevers omdat zij daarmee (1) een grotere groep van geschikte kandidaten, (2) een fijnmaziger zicht op de kwaliteit van kandidaten, (3) een verbetering van de arbeidsorganisatie en (4) een stimulans voor het leren op de werkvloer kunnen bereiken. Om dat mogelijk te maken is het van belang dat werkgevers en HR-managers hun vraag naar arbeid uitdrukken in skills, gestructureerd hun skillsmatches evalueren en in kaart welke skills zij in de toekomst verwachten nodig te hebben.

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Lab report: Lidar Mapping with Livox Mid-40

Lab report on Lidar Mapping with Livox Mid-40 in ROS

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The Participant Journey Map: Understanding the design of interactive Augmented Play Spaces