Zoekresultaten

Producten 585

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Serious Games as planning support systems: learning from playing maritime spatial planning challenge 2050

The inherent complexity of planning at sea, called maritime spatial planning (MSP), requires a planning approach where science (data and evidence) and stakeholders (their engagement and involvement) are integrated throughout the planning process. An increasing number of innovative planning support systems (PSS) in terrestrial planning incorporate scientific models and data into multi-player digital game platforms with an element of role-play. However, maritime PSS are still early in their innovation curve, and the use and usefulness of existing tools still needs to be demonstrated. Therefore, the authors investigate the serious game, MSP Challenge 2050, for its potential use as an innovative maritime PSS and present the results of three case studies on participant learning in sessions of game events held in Newfoundland, Venice, and Copenhagen. This paper focusses on the added values of MSP Challenge 2050, specifically at the individual, group, and outcome levels, through the promotion of the knowledge co-creation cycle. During the three game events, data was collected through participant surveys. Additionally, participants of the Newfoundland event were audiovisually recorded to perform an interaction analysis. Results from survey answers and the interaction analysis provide evidence that MSP Challenge 2050 succeeds at the promotion of group and individual learning by translating complex information to players and creating a forum wherein participants can share their thoughts and perspectives all the while (co-) creating new types of knowledge. Overall, MSP Challenge and serious games in general represent promising tools that can be used to facilitate the MSP process.

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31-12-2017
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Spatial support of knowlegde production in higher education

This paper explores the impact of the physical and social dimensions of the work environment on satisfaction and perceived productivity of knowledge workers in Dutch universities of applied sciences. The approach took the form of a literature review, multiple case study of six research centres using interviews and logbook analysis, and web-based survey (N = 188). Optimally facilitating knowledge production requires both space for concentration (to support internalisation of knowledge) and space for interaction (to support externalisation of knowledge). None of the work environments involved in the study adequately supported all the phases of knowledge development adequately. Cellular offices with personal desks are preferred for solo work and, whereas new workplace designs with a focus on the office as a meeting place support interaction and collaboration. Spatial layout and interaction have a stronger impact than comfort and absence of distraction. The spatial layout should support both in-depth concentration and communication, fit the internalisation/externalisation ratio of activities, and accommodate the proximity essential for collaborative knowledge development. Being able to choose is the key to success. In terms of research limitations, knowledge workers’ productivity was measured by self-assessment, but only a limited number of diaries were collected. The lessons learned can be used as inputs to decision-making processes regarding the design, implementation and management of working environments in higher education settings. Few studies have been conducted concerning the spatial preferences and needs of knowledge workers in universities of applied sciences. The results show that the physical dimension (comfort and layout) is more important for collective productivity, whereas individual productivity is more strongly influenced by the social dimension (interaction and distraction).

MULTIFILE

31-03-2013
Spatial support of knowlegde production in higher education
product

Spatial support of knowledge production in higher education

This paper explores the impact of the physical and social dimensions of the work environment on  satisfaction and perceived productivity of knowledge workers in Dutch universities of applied sciences. The approach took the form of a literature review, multiple case study of six research centres using interviews and logbook analysis, and web-based survey (N = 188). Optimally facilitating knowledge production requires both space for concentration (to support internalisation of knowledge) and space for interaction (to support externalisation of knowledge). None of the work environments involved in the study adequately supported all the phases of knowledge development adequately. Cellular offices with personal desks are preferred for solo work and, whereas new workplace designs with a focus on the office as a meeting place support interaction and collaboration. Spatial layout and interaction have a stronger impact than comfort and absence of distraction. The spatial layout should support both in-depth concentration and communication, fit the internalisation/externalization ratio of activities, and accommodate the proximity essential for collaborative knowledge development. Being able to choose is the key to success. In terms of research limitations, knowledge workers’ productivity was measured by self-assessment, but only a limited number of diaries were collected. The lessons learned can be used as inputs to decision-making processes regarding the design, implementation and management of workingenvironments in higher education settings. Few studies have been conducted concerning the spatial preferences and needs of knowledge workers in universities of applied sciences. The results show that the physical dimension (comfort and layout) is more important for collective productivity, whereas individual productivity is more strongly influenced by the social dimension (interaction and distraction).

MULTIFILE

31-03-2014
Spatial support of knowledge production in higher education

Projecten 1

project

A tool for co-designing healthy environments for older citizens in Emerging Smart Neighborhoods

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.

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