Comprehensive understanding of the merits of bottom-up urban development is lacking, thus hampering and complicating associated collaborative processes. Therefore, and given the assumed relevancies, we mapped the social, environmental and economic values generated by bottom-up developments in two Dutch urban areas, using theory-based evaluation principles. These evaluations raised insights into the values, beneficiaries and path dependencies between successive values, confirming the assumed effect of placemaking accelerating further spatial developments. It also revealed broader impacts of bottom-up endeavors, such as influences on local policies and innovations in urban development.
MULTIFILE
Collaborative Mixed Reality Environments (CMREs) enable designing Performative Mixed Reality Experiences (PMREs) to engage participants’ physical bodies, mixed reality environments, and technologies utilized. However, the physical body is rarely purposefully incorporated throughout such design processes, leaving designers seated behind their desks, relying on their previous know-how and assumptions. In contrast, embodied design techniques from HCI and performing arts afford direct corporeal feedback to verify and adapt experiential aesthetics within the design process. This paper proposes a performative prototyping method, which combines bodystorming methods with Wizard of Oz techniques with a puppeteering approach, using inside-out somaesthetic- and outside-in dramaturgical perspectives. In addition, it suggests an interdisciplinary vocabulary to share and evaluate PMRE experiences during and after its design collaboration. This method is exemplified and investigated by comparing two case studies of PMRE design projects in higher-art education using the existing Social VR platform NEOS VR adapted as a CMRE.
We investigate a computer supported approach in which pairs co-con-struct a qualitative representation of the dynamics of the industrial revolution in a shared workspace. A key feature of this approach concerns the use of a meta-vocabulary for representing cause-and-effect relationships that facilitates the use of a predefined norm-representation to automatically steer the collaborative learning process. In particular, it provides focus on the set of ingredients that the learners should use. Additionally, the workspace offers each learner pair information about progress and content-related support. An evaluation study was executed in a real classroom. A workbook provided information for constructing the representation and gave advise on how to approach this task together. How-ever, most pairs took an alternative approach and divided their actions in the shared workspace in an unbalanced way. Three types of task division occurred that showed differences in the number of errors and the number of requests for support. From this result, we formulate future directions for the development of a pedagogical approach that stimulates collaborative learning with qualitative representations and the support offered by the software.
