DOI: 10.11606/t.3.2019.tde-20032019-112606
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Collab4All: a method to foster inclusion in computer-supported collaborative work.

Abstract: During the last decades, the research field of Computer-Supported Collaborative Work has made impressive progress in proposing theories, techniques, and tools to support collaborative work in different settings. Nevertheless, despite the advances in the field and its branches, individuals with impairments still face inclusion challenges when performing computer-supported collaborative activities. In order to take part in such type of activities, individuals are expected to have skills and knowledge that may be… Show more

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Cited by 4 publications
(4 citation statements)
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“…The list of species and reactions was automatically converted into the system of ordinary differential equations (1) and solved numerically using the ZDPlasKin tool. The QtPlaskin visualization software was used for the analysis of the results [23].…”
Section: Model Descriptionmentioning
confidence: 99%
“…The list of species and reactions was automatically converted into the system of ordinary differential equations (1) and solved numerically using the ZDPlasKin tool. The QtPlaskin visualization software was used for the analysis of the results [23].…”
Section: Model Descriptionmentioning
confidence: 99%
“…Hence, for instance, among the most relevant contributions we can highlight the ConcurTaskTrees (CTT) notation [19], which facilitates the specification of the most interactive aspects of cooperative tasks; the Groupware Task Analysis (GTA) approach [20], whose conceptual framework proposes a set of representations for the specification of the different groupwork aspects and the environment in which it is carried out; or the Collaborative Usability Analysis (CUA) approach [21], a task analysis technique designed to represent groupwork tasks and carry out the usability evaluations of groupware system. Regarding more recent works, we can also find in the literature other works such as the Model of Coordinated Action (MoCA) method [22], focused on the description of complex collaborative scenarios and environments such as those which have diverse, high-turnover memberships or emerging practices; Domino [23], a framework for hybrid collaboration that involves simultaneous co-located and remote collaboration with phases of both synchronous and asynchronous work that spans multiple groupware applications and devices; Collab4all [24], which addresses accessibility issues when designing accessible and inclusive groupware; the Groupware for Collaborative Virtual Environments (G4CVE) method [25], focused on the development of collaborative virtual environments; Tesperanto [26,27], a model-based methodology for authoring technical documents; the Designing for Awareness in Shared Systems (DASS) framework [28], which gives a structured and comprehensive overview of design considerations for awareness, thus introduc-ing interaction designers to awareness into a more generalizable and operational design knowledge; Unified Modeling Languages (UML) extensions such as the TOUCHE proposal [29][30][31], whose conceptual framework incorporates a series of requirement templates that include new information to record specific characteristics of groupware systems; and the Collaborative System Requirement Modeling Framework (CSRMF), inspired by the i* notation [32], which proposes the CSRML notation [9,33]. Nevertheless, most of these works deal with other domains or are focused on the technological aspects of the systems, without addressing the development of collaborative learning scenarios, neither incorporating an adequate and complete awareness support (only the CSRMF and the DASS frameworks do), nor pedagogical usability support (the CUA method only incorporates usability patterns, but not the pedagogical one).…”
Section: Related Workmentioning
confidence: 99%
“…Finally, we use the software QTPlaskin, developed by Luque (2011), to analyze the main processes that contribute to create or destroy each species as a function of time.…”
Section: 1029/2017jd028235mentioning
confidence: 99%