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Advances in longitudinal HC...
Longitudinal 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 "low technology" to self-tracking, to mid-air haptic feedback, and crowdsourcing
Monografía
monografia Rebiun28807968 https://catalogo.rebiun.org/rebiun/record/Rebiun28807968 m o d cr |n||||||||| 210816s2021 sz o 000 0 eng d 9783030673222 electronic bk.) 3030673227 electronic bk.) 3030673219 9783030673215 10.1007/978-3-030-67322-2 doi AU@ 000069838614 UPNA0540966 UPVA 997818439203706 UAM 991008097535404211 UCAR 991008232100404213 UR0534211 YDX eng YDX GW5XE OCLCO EBLCP OCLCF UYZG bicssc COM070000 bisacsh UYZG thema 004.01/9 23 Advances in longitudinal HCI research Evangelos Karapanos, Jens Gerken, Jesper Kjeldskov, Mikael B. Skov, editors Cham, Switzerland Springer 2021 Cham, Switzerland Cham, Switzerland Springer 1 online resource 1 online resource Human-computer interaction series 2524-4477 Introduction 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 Longitudinal 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 "low technology" to self-tracking, to mid-air haptic feedback, and crowdsourcing Human-computer interaction- Longitudinal studies Human-computer interaction- Research Human-computer interaction Electronic books Longitudinal studies. Karapanos, Evangelos editor. https://orcid.org/0000-0001-5910-4996 Gerken, Jens editor Kjeldskov, Jesper editor Skov, Mikael B. editor Original 3030673219 9783030673215 (OCoLC)1225975874 Human-computer interaction series