000			05442nam a2200565 i 4500
001			6813116
003			IEEE
005			20200413152853.0
006			m eo d
007			cr cn |||m|||a
008			090407s2009 caua foab 000 0 eng d
020			_a9781598299458 (electronic bk.)
020			_a9781598299441 (pbk.)
024	7		_a10.2200/S00173ED1V01Y200901HCI002 _2doi
035			_a(CaBNVSL)gtp00533836
035			_a(OCoLC)318897994
040			_aCaBNVSL _cCaBNVSL _dCaBNVSL
050		4	_aQA76.9.H85 _bD477 2009
082	0	4	_a004.019 _222
100	1		_aDe Souza, Clarisse Sieckenius.
245	1	0	_aSemiotic engineering methods for scientific research in HCI _h[electronic resource] / _cClarisse Sieckenius de Souza and Carla Faria Leitão.
260			_aSan Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA) : _bMorgan & Claypool Publishers, _cc2009.
300			_a1 electronic text (xii, 121 p. : ill.) : _bdigital file.
490	1		_aSynthesis lectures on human-centered informatics, _x1946-7699 ; _v# 2
538			_aMode of access: World Wide Web.
538			_aSystem requirements: Adobe Acrobat reader.
500			_aPart of: Synthesis digital library of engineering and computer science.
500			_aSeries from website.
504			_aIncludes bibliographical references (p. 115-120).
505	0		_aIntroduction -- Essence of semiotic engineering -- Brief historical perspective -- Metacommunication perspective -- Semiotic engineering methods -- Semiotic inspection method -- Preparation -- Analysis of metalinguistic signs -- Analysis of static signs -- Analysis of dynamic signs -- Comparison of segmented metacommunication messages -- Final evaluation of system's communicability -- Communicability evaluation method -- Preparation -- Application -- Tagging -- Interpretation -- Semiotic profiling -- Case study with audacity -- A semiotic inspection of audacity -- Preparation for the inspection -- Analysis of metalinguistic signs -- Analysis of static signs -- Analysis of dynamic signs -- Collating and comparing analyses -- The quality of metacommunication in audacity -- A communicability evaluation of audacity -- The evaluation setting -- Tagging and interpretation -- Semiotic profiling -- Findings and conclusions -- Internal articulation -- Cross-articulation -- External articulation -- Lessons learned with semiotic engineering methods -- The near future of semiotic engineering -- Acknowledgments -- Glossary -- References.
506	1		_aAbstract freely available; full-text restricted to subscribers or individual document purchasers.
510	0		_aCompendex.
510	0		_aINSPEC.
510	0		_aGoogle scholar.
510	0		_aGoogle book search.
520	3		_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.
530			_aAlso available in print.
588			_aTitle from PDF t.p. (viewed on April 7, 2009).
650		0	_aHuman-computer interaction.
650		0	_aSemiotics.
690			_aSemiotic engineering
690			_aHCI theories
690			_aQualitative methods in HCI
690			_aCommunicability evaluation
690			_aSemiotic inspection
700	1		_aLeitão, Carla Faria.
730	0		_aSynthesis digital library of engineering and computer science.
830		0	_aSynthesis lectures on human-centered informatics, _x1946-7699 ; _v# 2.
856	4	2	_3Abstract with links to resource _uhttp://ieeexplore.ieee.org/servlet/opac?bknumber=6813116
999			_c561675 _d561675