Background: Lexical access problems of inflected verbs are common in aphasia. Previous research addressed these problems either in purely linguistic terms (e.g., verb movement) or in terms of lexical characteristics (e.g., frequency). We propose a new measure of verb complexity, which combines linguistic and lexical characteristics and is formulated in terms of Shannon’s information theory. Aims: We aim to explore the complexity of individual verbs and verb paradigms and its effect on lexical access, both in unimpaired people and people with aphasia (PWA). We apply information theory to investigate the impact of verb complexity on reaction time (RT) for lexical decision. Methods & Procedures: 20 non-fluent aphasic subjects and 11 age-matched and education-matched peers performed an auditory lexical decision task containing 286 real and 286 phonotactically legal non-word past tense forms (regulars and irregulars). RTs and error rates were measured. Two information-theoretic measures were calculated: inflectional entropy (reflecting probabilistic variability of forms within a given verbal family) and information load (I) (reflecting complexity of an individual verb form). The effect for these and other more traditional measures on RT were measured. Outcomes & Results: Linear mixed model analyses to the data for each group with participant and verb as crossed random effects were performed. Results show that for all groups inflectional entropy had a facilitatory effect on RT. There was a group effect for inflectional entropy indicating that for the patients with aphasia the effect of inflectional entropy was less pronounced. At the same time, I did correlate with latencies for healthy adults but not for individuals with aphasia. Conclusions: Our results demonstrate that the decrease in lexical processing capacity characteristic for PWA has a measurable effect that can be calculated using information theoretical means. According to our model, these individuals have particular difficulties with processing lexical items of higher complexity, as measured by individual I, and benefit less from the support normally provided (in comprehension) by other members of the corresponding lexical network. Finally, the proposed information-theoretic complexity measures, which encompass both frequency effects and linguistic parameters, provide a superior measure of lexical access, and have a better explanatory power for the analyses of access problems found in non-fluent aphasia, compared to analyses based on frequency only.
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- Job control both Deaf and hearing are satisfied with amount of job control - Job demands both Deaf and hearing find that they can meet the jobs demands - Job strain both Deaf and hearing experience stress from time pressure and work planning issues - Language use is not a strain factor - Access to information is felt to be sufficient, although the information streams are different for Deaf and hearing employees - Deaf employees receive much information from their deaf colleagues - Hearing employees receive much information from their hearing colleagues
In the Netherlands approximately 2 million inhabitants have one or more disabilities. However, just like most people they like to travel and go on holiday.In this project we have explored the customer journey of people with disabilities and their families to understand their challenges and solutions (in preparing) to travel. To get an understanding what ‘all-inclusive’ tourism would mean, this included an analysis of information needs and booking behavior; traveling by train, airplane, boat or car; organizing medical care and; the design of hotels and other accommodations. The outcomes were presented to members of ANVR and NBAV to help them design tourism and hospitality experiences or all.
Collaborative networks for sustainability are emerging rapidly to address urgent societal challenges. By bringing together organizations with different knowledge bases, resources and capabilities, collaborative networks enhance information exchange, knowledge sharing and learning opportunities to address these complex problems that cannot be solved by organizations individually. Nowhere is this more apparent than in the apparel sector, where examples of collaborative networks for sustainability are plenty, for example Sustainable Apparel Coalition, Zero Discharge Hazardous Chemicals, and the Fair Wear Foundation. Companies like C&A and H&M but also smaller players join these networks to take their social responsibility. Collaborative networks are unlike traditional forms of organizations; they are loosely structured collectives of different, often competing organizations, with dynamic membership and usually lack legal status. However, they do not emerge or organize on their own; they need network orchestrators who manage the network in terms of activities and participants. But network orchestrators face many challenges. They have to balance the interests of diverse companies and deal with tensions that often arise between them, like sharing their innovative knowledge. Orchestrators also have to “sell” the value of the network to potential new participants, who make decisions about which networks to join based on the benefits they expect to get from participating. Network orchestrators often do not know the best way to maintain engagement, commitment and enthusiasm or how to ensure knowledge and resource sharing, especially when competitors are involved. Furthermore, collaborative networks receive funding from grants or subsidies, creating financial uncertainty about its continuity. Raising financing from the private sector is difficult and network orchestrators compete more and more for resources. When networks dissolve or dysfunction (due to a lack of value creation and capture for participants, a lack of financing or a non-functioning business model), the collective value that has been created and accrued over time may be lost. This is problematic given that industrial transformations towards sustainability take many years and durable organizational forms are required to ensure ongoing support for this change. Network orchestration is a new profession. There are no guidelines, handbooks or good practices for how to perform this role, nor is there professional education or a professional association that represents network orchestrators. This is urgently needed as network orchestrators struggle with their role in governing networks so that they create and capture value for participants and ultimately ensure better network performance and survival. This project aims to foster the professionalization of the network orchestrator role by: (a) generating knowledge, developing and testing collaborative network governance models, facilitation tools and collaborative business modeling tools to enable network orchestrators to improve the performance of collaborative networks in terms of collective value creation (network level) and private value capture (network participant level) (b) organizing platform activities for network orchestrators to exchange ideas, best practices and learn from each other, thereby facilitating the formation of a professional identity, standards and community of network orchestrators.
Hoogwaardig afvalhout van bewoners, bouwbedrijven en meubelmakers blijft momenteel ongebruikt omdat het te arbeidsintensief is om grote hoeveelheden ongelijke stukken hout van verschillende afmetingen en soorten te verwerken. Waardevol hout wordt waardeloos afval, tegen de principes van de circulaire economie in. In CW.Code werken Powerhouse Company, Bureau HUNC en Vrijpaleis samen met de HvA om te onderzoeken hoe een toegankelijke ontwerptool te ontwikkelen om upcycling en waardecreatie van afvalhout te faciliteren. In andere projecten hebben HvA en partners verschillende objecten gemaakt van afvalhout: een stoel, een receptiebalie, kleine meubels en objecten voor de openbare ruimte, vervaardigd met industriële robots. Deze objecten zijn 3D gemodelleerd met behulp van specifieke algoritmen, in de algemeen gebruikte ontwerpsoftware Rhino en Grasshopper. De projectpartners willen nu onderzoeken hoe deze algoritmen via een toegankelijke tool bruikbaar te maken voor creatieve praktijken. Deze tool integreert generatieve ontwerpalgoritmen en regelsets die rekening houden met beschikbaar afvalhout, en de ecologische, financiële en sociale impact van resulterende ontwerpen evalueren. De belangrijkste ontwerpparameters kunnen worden gemanipuleerd door ontwerpers en/of eindgebruikers, waardoor het een waardevol hulpmiddel wordt voor het co-creëren van circulaire toepassingen voor afvalhout. Dit onderzoek wordt uitgevoerd door HvA Digital Production Research Group, met bovengenoemde partners. HUNC heeft ervaring met stadsontwikkeling waarbij gebruik wordt gemaakt van lokaal gekapt afvalhout. Vrijpaleis biedt toegang tot een actieve, lokale community van makers met een sterke band met buurtbewoners. Powerhouse Company heeft ervaring in het ontwerpen met hout in de bouw. Alle drie kunnen profiteren van slimmere circulaire ontwerptools, waarbij beschikbaar materiaal, productiebeperkingen en impactevaluatie worden geïntegreerd. De tool wordt ontwikkeld en getest voor twee designcases: een binnenmeubelobject en een buitengevelelement. Bevindingen hiervan zullen leidend zijn bij de ontwikkeling van de tool. Na afronding van het project is een bètaversie gereed voor validatie door ontwerpers, bewonerscollectieven en onderzoek/onderwijs van de HvA.
