000			04211nam a22004215i 4500
999			_c387883 _d387883
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003			ES-MaUEC
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007			cr nn 008mamaa
008			220601s2009 sz | s |||| 0|eng d
020			_a9783031021855
024	7		_a10.1007/978-3-031-02185-5 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA76.9.H85 _b2009 EB
100			_aSieckenius de Souza, Clarisse. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _999908
245	1	0	_aSemiotic Engineering Methods for Scientific Research in HCI _cby Clarisse Sieckenius de Souza, Carla Faria Leitão
250			_a1st edition 2009
264		1	_aCham _bSpringer International Publishing _c2009
300			_a1 recurso en línea (XII, 121 páginas)
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aSynthesis Lectures on Human-Centered Informatics _x1946-7699
505	0		_aIntroduction -- Essence of Semiotic Engineering -- Semiotic Engineering Methods -- Case Study with Audacity -- Lessons Learned with Semiotic Engineering Methods -- The Near Future of Semiotic Engineering.
520			_aSemiotic engineering was originally proposed as a semiotic approach to designing user interface languages. Over the years, with research done at the Department of Informatics of the Pontifical Catholic University of Rio de Janeiro, it evolved into a semiotic theory of human-computer interaction (HCI). It views HCI as computer-mediated communication between designers and users at interaction time. The system speaks for its designers in various types of conversations specified at design time. These conversations communicate the designers' understanding of who the users are, what they know the users want or need to do, in which preferred ways, and why. The designers' message to users includes even the interactive language in which users will have to communicate back with the system in order to achieve their specific goals. Hence, the process is, in fact, one of communication about communication, or metacommunication. Semiotic engineering has two methods to evaluate the quality of metacommunication in HCI: the semiotic inspection method (SIM) and the communicability evaluation method (CEM). Up to now, they have been mainly used and discussed in technical contexts, focusing on how to detect problems and how to improve the metacommunication of specific systems. In this book, Clarisse de Souza and Carla Leitão discuss how SIM and CEM, which are both qualitative methods, can also be used in scientific contexts to generate new knowledge about HCI. The discussion goes into deep considerations about scientific methodology, calling the reader's attention to the essence of qualitative methods in research and the kinds of results they can produce. To illustrate their points, the authors present an extensive case study with a free open-source digital audio editor called Audacity. They show how the results obtained with a triangulation of SIM and CEM point at new research avenues not only for semiotic engineering and HCI but also for other areas of computer science such as software engineering and programming. Table of Contents: Introduction / Essence of Semiotic Engineering / Semiotic Engineering Methods / Case Study with Audacity / Lessons Learned with Semiotic Engineering Methods / The Near Future of Semiotic Engineering.
988			_aSynthesis Collection of Technology_2009
650		7	_2embne _9155848 _aInteracción hombre-ordenador
650		7	_2embne _9143846 _aSemiótica
700	1		_aLeitão, Carla Faria _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9688304
776	0	8	_iPrinted edition: _z9783031010576
776	0	8	_iPrinted edition: _z9783031033131
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-02185-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b04/2023 _dz _eIG _zSI