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008			220601s2010 sz | s |||| 0|eng d
020			_a9783031021909
024	7		_a10.1007/978-3-031-02190-9 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA76.9.H85 _b2010 EB
100	1		_aKarat, Clare-Marie _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9687464
245	1	0	_aDesigning and Evaluating Usable Technology in Industrial Research : _bThree Case Studies _cby Clare-Marie Karat, John Karat
250			_a1st edition 2010
264		1	_aCham _bSpringer International Publishing _c2010
300			_a1 recurso en línea (XIII, 102 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: Themes and Structure of the Book -- Case Study 1: Conversational Speech Technologies: Automatic Speech Recognition (ASR) -- Case Study 2: Personalization in eCommerce -- Case Study 3: Security and Privacy Policy Management Technologies -- Insights and Conclusions -- The Future of Industrial HCI Research.
520			_aThis book is about HCI research in an industrial research setting. It is based on the experiences of two researchers at the IBM T. J. Watson Research Center. Over the last two decades, Drs. John and Clare-Marie Karat have conducted HCI research to create innovative usable technology for users across a variety of domains. We begin the book by introducing the reader to the context of industrial research as well as a set of common themes or guidelines to consider in conducting HCI research in practice. Then case study examples of HCI approaches to the design and evaluation of usable solutions for people are presented and discussed in three domain areas: - item Conversational speech technologies, - item Personalization in eCommerce, and - item Security and privacy policy management technologies In each of the case studies, the authors illustrate and discuss examples of HCI approaches to design and evaluation that worked well and those that did not. They discuss what was learned over time about different HCI methods in practice, and changes that were made to the HCI tools used over time. The Karats discuss trade-offs and issues related to time, resources, and money and the value derived from different HCI methods in practice. These decisions are ones that need to be made regularly in the industrial sector. Similarities and differences with the types of decisions made in this regard in academia will be discussed. The authors then use the context of the three case studies in the three research domains to draw insights and conclusions about the themes that were introduced in the beginning of the book. The Karats conclude with their perspective about the future of HCI industrial research. Table of Contents: Introduction: Themes and Structure of the Book / Case Study 1: Conversational Speech Technologies: Automatic Speech Recognition (ASR) / Case Study 2: Personalization in eCommerce / Case Study 3: Security and Privacy Policy Management Technologies / Insights and Conclusions / The Future of Industrial HCI Research.
988			_aSynthesis Collection of Technology_2010
650		7	_2embne _9145267 _aInvestigación industrial
650		7	_2embne _9147323 _aReconocimiento automático del lenguaje
700	1		_aKarat, John _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9687465
776	0	8	_iPrinted edition: _z9783031010620
776	0	8	_iPrinted edition: _z9783031033186
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-02190-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b03/2023 _dz _esc _zSI