De Experience Tool: Mapping facts and practice to develop (spatial) experiences (Moes, Schrandt, Manuputty, Admiraal & van der Mark, 2019), is in eerste instantie ontwikkeld door docent-onderzoekers en een oud-student van het Amsterdam Fashion Institute (AMFI) om studenten beter onderbouwde afwegingen te laten maken over inrichting van bijvoorbeeld metrostations, winkels maar ook tentoonstellingen. De toolkit is dus niet ontwikkeld in het kader van Designing Experiencescapes of De Tentoonstellingsmaker van de 21ste Eeuw, maar deze onderzoeken hebben wel een belangrijke inhoudelijke basis gegeven voor de toolkit en zijn dus zeer relevant voor de (toekomstige) tentoonstellingsmaker. Het doel van deze tool is om spelers te inspireren bij en informeren over het creëren van belevingen in (hoofdzakelijk) fysieke ruimtes. De tool is voor iedereen die geïnteresseerd is in het creëren van belevingen en met name interessant voor studenten die een beleving willen neerzetten, in welke vorm dan ook en professionals uit de museale en de retailsector die invloed hebben op het inrichten van fysieke ruimtes.
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The MSP Challenge uses game technology and role-play to support communication and learning for Marine/Maritime Spatial Planning. Since 2011, a role-playing game, a board game and a digital interactive simulation platform have been developed. The MSP Challenge editions have been used in workshops, conferences, education, as well as for real life stakeholder engagement. The authors give an overview of the development of the MSP Challenge and reflect on the value of the approach as an engaging and ‘fun’ tool for building mutual understanding and communicating MSP.
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Purpose: To establish age-related, normal limits of monocular and binocular spatial vision under photopic and mesopic conditions. Methods: Photopic and mesopic visual acuity (VA) and contrast thresholds (CTs) were measured with both positive and negative contrast optotypes under binocular and monocular viewing conditions using the Acuity-Plus (AP) test. The experiments were carried out on participants (age range from 10 to 86 years), who met pre-established, normal sight criteria. Mean and ± 2.5σ limits were calculated within each 5-year subgroup. A biologically meaningful model was then fitted to predict mean values and upper and lower threshold limits for VA and CT as a function of age. The best-fit model parameters describe normal aging of spatial vision for each of the 16 experimental conditions investigated. Results: Out of the 382 participants recruited for this study, 285 participants passed the selection criteria for normal aging. Log transforms were applied to ensure approximate normal distributions. Outliers were also removed for each of the 16 stimulus conditions investigated based on the ±2.5σ limit criterion. VA, CTs and the overall variability were found to be age-invariant up to ~50 years in the photopic condition. A lower, age-invariant limit of ~30 years was more appropriate for the mesopic range with a gradual, but accelerating increase in both mean thresholds and intersubject variability above this age. Binocular thresholds were smaller and much less variable when compared to the thresholds measured in either eye. Results with negative contrast optotypes were significantly better than the corresponding results measured with positive contrast (p < 0.004). Conclusions: This project has established the expected age limits of spatial vision for monocular and binocular viewing under photopic and high mesopic lighting with both positive and negative contrast optotypes using a single test, which can be implemented either in the clinic or in an occupational setting.
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Due to societal developments, like the introduction of the ‘civil society’, policy stimulating longer living at home and the separation of housing and care, the housing situation of older citizens is a relevant and pressing issue for housing-, governance- and care organizations. The current situation of living with care already benefits from technological advancement. The wide application of technology especially in care homes brings the emergence of a new source of information that becomes invaluable in order to understand how the smart urban environment affects the health of older people. The goal of this proposal is to develop an approach for designing smart neighborhoods, in order to assist and engage older adults living there. This approach will be applied to a neighborhood in Aalst-Waalre which will be developed into a living lab. The research will involve: (1) Insight into social-spatial factors underlying a smart neighborhood; (2) Identifying governance and organizational context; (3) Identifying needs and preferences of the (future) inhabitant; (4) Matching needs & preferences to potential socio-techno-spatial solutions. A mixed methods approach fusing quantitative and qualitative methods towards understanding the impacts of smart environment will be investigated. After 12 months, employing several concepts of urban computing, such as pattern recognition and predictive modelling , using the focus groups from the different organizations as well as primary end-users, and exploring how physiological data can be embedded in data-driven strategies for the enhancement of active ageing in this neighborhood will result in design solutions and strategies for a more care-friendly neighborhood.
