Making Exhibitions, Brokering Meaning: Designing new connections across communities of practice

New media museum exhibits often see designers representing the research of expert content providers. Despite perceptions that such exhibits provide museum visitors with a greater depth and range of experience, differences in knowledge and practice between designers and content providers can see content development become an unruly, competitive process in which audience experience, digital mediation, visualisation techniques and meaning become contested territory. Drawing on Etienne Wenger’s theory of “communities of practice”, this paper argues that designers’ advocacy for audiences and distance from exhibition content well positions them to broker interdisciplinary goal setting so that exhibitions observe the representational objectives of content providers and meet the needs and preferences of museum visitors. A wide range of design literature already discusses the pragmatic benefits and ethical importance of user-centered design, while the literature on co-design suggests that designed outcomes are more successful if the design process considers the interests of all stakeholders. These discussions can be compelling, but the inherent challenges in engaging others’ perspectives and knowledge in the design process are less acknowledged, Wenger’s ideas on the social dynamics of group enterprise offering designers valuable insights into the actuality of negotiating designed outcomes with non-designer stakeholders. The paper has two main aspects. The first outlines the theory of communities of practice, focusing on the brokering of knowledge and practice between disciplines. This discussion frames an analysis of the design process for two museum exhibitions. Representing an original application of Wenger’s ideas, the discussion recognises the unique role of the designed artifact in brokering information visualization processes, transcending the actions and intentions of individual stakeholders. While accepting there are successful examples of interdisciplinary exchange in various areas of design, the interpretation of examples via Wenger contributes useful principles to the theorisation of co-design with non-designer stakeholders. Keywords: Information visualization; New media museum exhibits; Multidisciplinary projects; Communities of Practice; Brokering; User-centered design; Co-Design; Etienne Wenger</p

Interactive expert support for early stage full-year daylighting design: a user’s perspective on Lightsolve

Designing spaces that are able to balance illumination, glare and solar gains over a year is a real challenge, yet a problem faced every day by building designers. To assist them, a full year, climate-based daylighting simulation method, called Lightsolve, was developed, providing guided search based on the variation of daylight performance over the year by combining temporal performance visualization with spatial renderings. This paper focuses on the user’s perspective for Lightsolve. After a summary of its foundational concepts, it discusses the results of several pilot and more formal user studies conducted in educational contexts. As a core element of the paper, the method and results of an original, design-oriented user study on Lightsolve’s expert system are discussed. It was conducted to determine how well its decision-making algorithm would work when independent human interactions were included. It demonstrated that the expert system is generally successful as a performance-driven design tool respectful of the non-deterministic nature of the design process itself, and as a method for educating designers to improve daylighting performance

Applying a User-centred Approach to Interactive Visualization Design

Analysing users in their context of work and finding out how and why they use different information resources is essential to provide interactive visualisation systems that match their goals and needs. Designers should actively involve the intended users throughout the whole process. This chapter presents a user-centered approach for the design of interactive visualisation systems. We describe three phases of the iterative visualisation design process: the early envisioning phase, the global specification hase, and the detailed specification phase. The whole design cycle is repeated until some criterion of success is reached. We discuss different techniques for the analysis of users, their tasks and domain. Subsequently, the design of prototypes and evaluation methods in visualisation practice are presented. Finally, we discuss the practical challenges in design and evaluation of collaborative visualisation environments. Our own case studies and those of others are used throughout the whole chapter to illustrate various approaches

Analyzing library collections with starfield visualizations

This paper presents a qualitative and formative study of the uses of a starfield-based visualization interface for analysis of library collections. The evaluation process has produced feedback that suggests ways to significantly improve starfield interfaces and the interaction process to improve their learnability and usability. The study also gave us clear indication of additional potential uses of starfield visualizations that can be exploited by further functionality and interface development. We report on resulting implications for the design and use of starfield visualizations that will impact their graphical interface features, their use for managing data quality and their potential for various forms of visual data mining. Although the current implementation and analysis focuses on the collection of a physical library, the most important contributions of our work will be in digital libraries, in which volume, complexity and dynamism of collections are increasing dramatically and tools are needed for visualization and analysis

Computer-Aided System for Wind Turbine Data Analysis

Context: The current work on wind turbine failure detection focuses on researching suitable signal processing algorithms and developing efficient diagnosis algorithms. The laboratory research would involve large and complex data, and it can be a daunting task. Aims: To develop a Computer-Aided system for assisting experts to conduct an efficient laboratory research on wind turbine data analysis. System is expected to provide data visualization, data manipulation, massive data processing and wind turbine failure detection. Method: 50G off-line SCADA data and 4 confident diagnosis algorithms were used in this project. Apart from the instructions from supervisor, this project also gained help from two experts from Engineering Department. Java and Microsoft SQL database were used to develop the system. Results: Data visualization provided 6 different charting solutions and together with robust user interactions. 4 failure diagnosis solutions and data manipulations were provided in the system. In addition, dedicated database server and Matlab API with Java RMI were used to resolve the massive data processing problem. Conclusions: Almost all of the deliverables were completed. Friendly GUI and useful functionalities make user feel more comfortable. The final product does enable experts to conduct an efficient laboratory research. The end of this project also gave some potential extensions of the system

Experiences with starfield visualizations for analysis of library collections

This paper presents a qualitative and formative study of the uses of a starfield-based visualization interface for analysis of library collections. The evaluation process has produced feedback that suggests ways to significantly improve starfield interfaces and the interaction process to improve their learnability and usability. The study also gave us clear indication of additional potential uses of starfield visualizations that can be exploited by further functionality and interface development. We report on resulting implications for the design and use of starfield visualizations that will impact their graphical interface features, their use for managing data quality and their potential for various forms of visual data mining. Although the current implementation and analysis focuses on the collection of a physical library, the most important contributions of our work will be in digital libraries, in which volume, complexity and dynamism of collections are increasing dramatically and tools are needed for visualization and analysis