000130148 001__ 130148
000130148 005__ 20241125101154.0
000130148 0247_ $$2doi$$a10.1109/THMS.2023.3332592
000130148 0248_ $$2sideral$$a136492
000130148 037__ $$aART-2023-136492
000130148 041__ $$aeng
000130148 100__ $$aBravo, Crescencio
000130148 245__ $$aModeling awareness requirements in groupware: from cards to diagrams
000130148 260__ $$c2023
000130148 5060_ $$aAccess copy available to the general public$$fUnrestricted
000130148 5203_ $$aUp to now, groupware has enjoyed a certain stability in terms of the users’ technical requirements, being the awareness dimension one of its key services to provide usability and improve collaboration. Nonetheless, currently, groupware technologies are being stressed: on the one hand, the pandemic of COVID-19 has greatly driven the massive use of groupware tools to overcome physical distancing; on the other hand, the new digital worlds (with disruptive devices, changing paradigms, and growing productive needs) are introducing new collaboration settings. This, and the fact that software engineering methods are not paying enough attention to the awareness, makes us concentrate on facilitating its design. Thus, we have created a visual modeling technique, based on a conceptual framework, to be used by the developers of groupware systems to describe awareness requirements. This visual language, called the awareness description diagrams, has been validated in some experimental activities. The results obtained show that this is a valid technique in order to model the awareness support, that it is useful and understandable for groupware engineers, and that the visual representation is preferred to a more textual one in terms of expressiveness.
000130148 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000130148 590__ $$a3.5$$b2023
000130148 592__ $$a1.139$$b2023
000130148 591__ $$aCOMPUTER SCIENCE, CYBERNETICS$$b8 / 32 = 0.25$$c2023$$dQ1$$eT1
000130148 593__ $$aControl and Systems Engineering$$c2023$$dQ1
000130148 591__ $$aCOMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE$$b75 / 197 = 0.381$$c2023$$dQ2$$eT2
000130148 593__ $$aHuman-Computer Interaction$$c2023$$dQ1
000130148 593__ $$aComputer Networks and Communications$$c2023$$dQ1
000130148 593__ $$aComputer Science Applications$$c2023$$dQ1
000130148 593__ $$aHuman Factors and Ergonomics$$c2023$$dQ1
000130148 593__ $$aSignal Processing$$c2023$$dQ2
000130148 593__ $$aArtificial Intelligence$$c2023$$dQ2
000130148 594__ $$a7.1$$b2023
000130148 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000130148 700__ $$aDuque, Rafael
000130148 700__ $$aMolina, Ana I.
000130148 700__ $$0(orcid)0000-0001-9895-0837$$aGallardo, Jesús$$uUniversidad de Zaragoza
000130148 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf.
000130148 773__ $$g54, 1 (2023), 56-67$$pIEEE trans. hum.-mach. syst.$$tIEEE transactions on human-machine systems$$x2168-2291
000130148 8564_ $$s3058287$$uhttps://zaguan.unizar.es/record/130148/files/texto_completo.pdf$$yVersión publicada
000130148 8564_ $$s3578977$$uhttps://zaguan.unizar.es/record/130148/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000130148 909CO $$ooai:zaguan.unizar.es:130148$$particulos$$pdriver
000130148 951__ $$a2024-11-22-12:08:17
000130148 980__ $$aARTICLE