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Human–Computer Interaction and Software Engineering for User Interface Plasticity
Published in Julie A. Jacko, The Human–Computer Interaction Handbook, 2012
UI redistribution denotes the reallocation of the UI components of the system to different interaction resources. The granularity of UI redistribution may vary from application level to pixel level:At the application level, the UI is fully replicated on each computing device. When the redistribution is dynamic, the whole UI of the application migrates to a new computing device, which in turn may trigger remolding.At the workspace level, the unit for distribution is the workspace. A workspace is a logical space that supports the execution of a set of logically connected tasks. This concept is similar to the notion of focus area used in contextual design for expressing the user-environment design. PebblesDraw (Myers 2001) and Rekimoto’s Pick and Drop (Rekimoto 1997) are examples of UI distribution at the workspace level.The interactor level distribution is a special case of the workspace level in which the unit for distribution is an elementary interactor.At the pixel level, any UI component can be partitioned across multiple resources. For example, in the seminal smart room DynaWall (Streitz et al. 1999), a window may simultaneously lie over two contiguous white boards as if these were managed by a single computer.
The Working Environment of the CATIA v5 Program
Published in Ionuţ Gabriel Ghionea, Cristian Ioan Tarbă, Saša Ćuković, CATIA v5, 2023
Ionuţ Gabriel Ghionea, Cristian Ioan Tarbă, Saša Ćuković
The Customize option is used to personalize the CATIA working environment. Thus, according to the dialog box with the same name in Figure 2.23, in the Start Menu tab, items can be added for quick access. From the User Workbenches tab, it is possible to create customized workspaces.
Collaboration on large interactive displays: a systematic review
Published in Human–Computer Interaction, 2021
Magdalena Mateescu, Christoph Pimmer, Carmen Zahn, Daniel Klinkhammer, Harald Reiterer
Research into the development of LIDs adheres to long-held views on the supportive role that technology and external representations play in the domain of group work (Salas, Cooke, & Rosen, 2008). The rationale is that well-designed workspaces help improve collaboration processes and outcomes of group work. Concretely, LIDs help groups view, interact with and generate artifacts, such as photos, spreadsheets, plans, text, graphic representations and videos, in a concerted manner. LIDs can be conceptualized as socio-cognitive tools that shape the collaborative processes and outcomes of these processes. LID elements that impact social interaction are the round-table constellation, face-to-face situations (Buisine et al., 2012) and the availability of personal spaces (Scott, Grant, & Mandryk, 2003). Social interaction is further shaped by the availability and placement of entry points and the skillful handling of physical and digital artifacts that can spark the curiosity and interest of collaborators to co-manipulate these objects (Rogers, Lim, Hazlewood, & Marshall, 2009). For example, the particular properties of LIDs (e.g. the number of entry points) condition collaborative processes in the form of the social interaction that unfolds between group members, which manifest for example in turn-taking patterns (Schneider et al., 2012). The cognitive aspects are contingent on the properties of LIDs that allow users to offload information processing and problem-solving by externalizing information (Fiore & Wiltshire, 2016). For example, opportunities for collaboratively engaging with external representations can activate concepts in people’s long-term memory and thus help them offload and stimulate cognition (Afonso Jaco, Buisine, Barré, Aoussat, & Vernier, 2013).