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020 _a9783319603698
024 7 _a10.1007/978-3-319-60369-8
_2doi
040 _bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aQA76.9.U83
_bH353 2018 EB
100 1 _aHalbrügge, Marc.
_eautor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_1http://viaf.org/viaf/5091151304663149460000/
245 1 0 _aPredicting User Performance and Errors
_bAutomated Usability Evaluation Through Computational Introspection of Model-Based User Interfaces
_cby Marc Halbrügge.
264 1 _aCham
_bSpringer International Publishing
_c2018
300 _a1 recurso en línea (XVI, 149 páginas 44 ilustraciones, 17 ilustraciones a color.)
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
490 0 _aT-Labs Series in Telecommunication Services,
_x2192-2810
490 0 _aEngineering (Springer-11647)
505 0 _aIntroduction -- Part I Theoretical Background and Related Work: Interactive Behavior and Human Error -- Model-Based UI Development (MBUID) -- Automated Usability Evaluation (AUE) -- Part II Empirical Results and Model Development: Introspection-Based Predictions of Human Performance -- Explaining and Predicting Sequential Error in HCI With Cognitive User Models -- The Competent User: How Prior Knowledge Shapes Performance and Errors -- A Deeply Integrated System for Introspection-Based Error Prediction -- The Unknown User: Does Optimizing for Errors and Time Lead to More Likable Systems?- General Discussion and Conclusion.
520 3 _aThis book proposes a combination of cognitive modeling with model-based user interface development to tackle the problem of maintaining the usability of applications that target several device types at once (e.g., desktop PC, smart phone, smart TV). Model-based applications provide interesting meta-information about the elements of the user interface (UI) that are accessible through computational introspection. Cognitive user models can capitalize on this meta-information to provide improved predictions of the interaction behavior of future human users of applications under development. In order to achieve this, cognitive processes that link UI properties to usability aspects like effectiveness (user error) and efficiency (task completion time) are established empirically, are explained through cognitive modeling, and are validated in the course of this treatise. In the case of user error, the book develops an extended model of sequential action control based on the Memory for Goals theory and it is confirmed in different behavioral domains and experimental paradigms. This new model of user cognition and behavior is implemented using the MeMo workbench and integrated with the model-based application framework MASP in order to provide automated usability predictions from early software development stages on. Finally, the validity of the resulting integrated system is confirmed by empirical data from a new application, eliciting unexpected behavioral patterns.
988 _aEBSPRINGER_2018
650 7 _2embne
_9149839
_aInterfaces de usuario
776 0 8 _iEdición impresa:
_z9783319603681
776 0 8 _iEdición impresa:
_z9783319603704
776 0 8 _iEdición impresa:
_z9783319868493
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-60369-8
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE