2,710 research outputs found

    The Visual Matrix Method: Imagery and Affect in a Group-based Research Setting

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    The visual matrix is a method for researching shared experience, stimulated by a sensory stimulus relevant to a research question. It is led by imagery, visualization and affect, which in the matrix take precedence over discourse. The method enables the symbolization of imaginative and emotional material, which might not otherwise be articulated and allows "unthought" dimensions of experience to emerge into consciousness in a participatory setting. We describe the process of the matrix with reference to the study "Public Art and Civic Engagement" (FROGGETT, MANLEY, ROY, PRIOR & DOHERTY, 2014) in which it was developed and tested. Subsequently, examples of its use in other contexts are provided. Both the matrix and post-matrix discussions are described, as is the interpretive process that follows. Theoretical sources are highlighted: its origins in social dreaming; the atemporal, associative nature of the thinking during and after the matrix which we describe through the Deleuzian idea of the rhizome; and the hermeneutic analysis which draws from object relations theory and the Lorenzerian tradition of scenic understanding. The matrix has been conceptualized as a "scenic rhizome" to account for its distinctive quality and hybrid origins in research practice. The scenic rhizome operates as a "third" between participants and the "objects" of contemplation. We suggest that some of the drawbacks of other group-based methods are avoided in the visual matrix—namely the tendency for inter-personal dynamics to dominate the event

    An Unfinished Canvas: A Review of Large-Scale Assessment in K-12 Arts Education

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    Reviews the status of and current practices in statewide standards-based arts assessment for K-12 education accountability. Examines the approaches and criteria of several models of large-scale arts assessment and five states' assessment programs

    Towards a Collaborative Filtering Framework for Recommendation in Museums: From Preference Elicitation to Group's Visits

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    AbstractRecommendation systems based on collaborative filtering methods can be exploited in the context of providing personalized artworks tours within a museum. However, in order to be effectively used, several problems have to be addressed: user preferences are not expressed as rating, items to be suggested are located in a physical space, and users may be in a group. In this work, we present a general framework that, by using the Matrix Factorization (MF) approach and a graph representation of a museum, addresses the problem of generating and then recommending an artworks sequence for a group of visitors within a museum. To reach a high-quality initial personalization, the recommendation system uses a simple, but efficient, elicitation method that is inspired by the MF approach. Moreover, the proposed approach considers the individual or the aggregated artworks' ratings to build up a solution that takes into account the physical location of the artworks

    A generative framework for computer-based interactive art in mass transport systems.

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    Over the course of the past decade the MRT (Mass Rapid Transit) stations in Taiwan have become open air art galleries: with more prominent and frequent display of various artistic creations in stations, including interactive artworks. However, unlike the audiences in more meticulously choreographed exhibition contexts, those in stations are usually involuntary. New criteria for the creation and evaluation of artworks in these context are necessary to enhance the connection between the audience and the artwork, and to elicit meaningful experience via interactivity. This research aims to uncover the critical factors that can turn an indifferent passenger into an explorative participant, subsequently leading them to obtain meaningful experiences through interaction with computer-based interactive artwork. This research focuses on artworks that are permanently installed in the stations, with three case studies conducted in MRT stations forming the backbone of the research. Field observation was the first step in each case study, conducted in order to understand the fundamentals of the interactivity between the passengers and the artworks. This was followed by in-depth interviews with the passengers and three professional interview groups. A critical Analytical Framework was formed throughout the course of the research, identifying five engaging characteristics: Incentive, Transfer, Accessibility, Play, and Challenge. These five characteristics were eventually reapplied to re-examine the case studies and the content of the interviews with the professionals. The findings of this research articulate how the Analytical Framework can be adopted in future research intended to create the conditions for more meaningful art-interactions. This Analytical Framework will assist artists, designers and researchers in their pre-planning and follow up evaluations of the degree of engagement generated by computer-based interactive artworks displayed in transport hubs. The interest that the outcomes of this research has attracted in the field suggests that the framework could be extended to the examination of various computer-based interactive artworks in similar public contexts. In this context, the framework would play a valuable role in uncovering a more dynamic paradigm used to illustrate how meaningful experiences can evolve in similar public spaces

    Art as Infrastructure: An evaluation of civic art and public engagement in four communities in south Los Angeles County

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    This report is an evaluation of a range of outcomes at the four sites in the Creative Graffiti Abatement Project in Los Angeles County. This report evaluates the success of arts-based strategies in shifting perceptions, increasing positive activity, reducing graffiti vandalism, building a sense of community ownership and building capacity for future arts and culture activities at the sites. While this report takes a summative approach to evaluating outcomes, the evaluator was embedded in planning and public engagement activities throughout the project, combining elements of a developmental evaluation approach with strategies from ethnographic inquiry. The report offers detailed recommendations for public art commissioning agencies, arts organizations, artists and evaluators implementing similar projects

    KioskAR: An Augmented Reality Game as a New Business Model to Present Artworks

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    Insights and Lessons: Community Arts and College Arts - A Report to The Kresge Foundation

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    This report examines two pilot initiatives, Community Arts and College Arts, launched during the 2008 economic downturn. After the completion of the multiyear initiatives, the Kresge Foundation commissioned a report on the effort. The qualitative analysis offers lessons and insights on the theme of art-based civic dialogue and community revitalization
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