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999			_c361551 _d361551 _x1
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003			ES-MaUEC
005			20230102121408.0
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007			cr nn nnnaamaa
008			210811s2021 sz | s |||| 0|eng d
020			_a9783030673222
024	7		_a10.1007/978-3-030-67322-2 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA76.9 .H85 _b2021 EB
245	1	0	_aAdvances in Longitudinal HCI Research _cedited by Evangelos Karapanos, Jens Gerken, Jesper Kjeldskov, Mikael B. Skov
250			_aFirst edition 2021
264		1	_aCham _bSpringer International Publising _c2021
300			_a1 recurso en línea (VI, 242 páginas) _b48 ilustraciones, 38 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aarchivo de texto _bPDF
490	0		_aHuman-Computer Interaction Series _x2524-4477
490	0		_aComputer Science (SpringerNature-11645)
490	0		_aComputer Science (R0) (SpringerNature-43710)
505	0		_aIntroduction to Longitudinal HCI Research -- Part A: Theoretical Perspectives -- Longitudinal Studies in HCI Research -- Longitudinal Studies in Information Systems -- Part B: Methods for Longitudinal HCI Research -- Recommendations for Conducting Longitudinal Experience Sampling Studies -- Longitudinal First Person HCI Research Methods -- Imagining the Future of Longitudinal HCI Studies: Sensor-Embedded Everyday Objects as Subjective Data Collection Tools -- Experiments, Longitudinal Studies and Sequential Experimentation: How Using 'Intermediate Results' can Help Design Experiments -- Part C: Reviews of, and Case Studies on Longitudinal HCI Research -- Tensions and Techniques in Investigating Longitudinal Experiences with Slow Technology Research Products -- Opportunities and Challenges for Long-Term Tracking -- Augmenting Gestural Interactions with Mid-air Haptic Feedback: A Case Study of Mixed-method Longitudinal UX-testing in the Lab -- A Six-Month, Multi-Platform Investigation of Creative Crowdsourcing.
520	3		_aLongitudinal studies have traditionally been seen as too cumbersome and labor-intensive to be of much use in research on Human-Computer Interaction (HCI). However, recent trends in market, legislation, and the research questions we address, have highlighted the importance of studying prolonged use, while technology itself has made longitudinal research more accessible to researchers across different application domains. Aimed as an educational resource for graduate students and researchers in HCI, this book brings together a collection of chapters, addressing theoretical and methodological considerations, and presenting case studies of longitudinal HCI research. Among others, the authors: discuss the theoretical underpinnings of longitudinal HCI research, such as when a longitudinal study is appropriate, what research questions can be addressed and what challenges are entailed in different longitudinal research designs reflect on methodological challenges in longitudinal data collection and analysis, such as how to maintain participant adherence and data reliability when employing the Experience Sampling Method in longitudinal settings, or how to cope with data collection fatigue and data safety in applications of autoethnography and autobiographical design, which may span from months to several years present a number of case studies covering different topics of longitudinal HCI research, from "slow technology", to self-tracking, to mid-air haptic feedback, and crowdsourcing.
988			_aSpringer_Computer_2021
650		7	_2embne _9155848 _aInteracción hombre-ordenador
700	1		_aKarapanos, Evangelos _eeditor literario
700	1		_aGerken, Jens _eeditor literario
700	1		_aKjeldskov, Jesper _eeditor literario
700	1		_aSkov, Mikael B _eeditor literario
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-67322-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b02/2022 _dz _eu _zSI