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Advances In Longitudinal Hci Research Humancomputer Interaction Series 1st Ed 2021 Evangelos Karapanos Editor

  • SKU: BELL-34708810
Advances In Longitudinal Hci Research Humancomputer Interaction Series 1st Ed 2021 Evangelos Karapanos Editor
$ 31.00 $ 45.00 (-31%)

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Advances In Longitudinal Hci Research Humancomputer Interaction Series 1st Ed 2021 Evangelos Karapanos Editor instant download after payment.

Publisher: Springer
File Extension: EPUB
File size: 16.85 MB
Pages: 248
Author: Evangelos Karapanos (editor), Jens Gerken (editor), Jesper Kjeldskov (editor), Mikael B. Skov (editor)
ISBN: 9783030673215, 3030673219
Language: English
Year: 2021
Edition: 1st ed. 2021

Product desciption

Advances In Longitudinal Hci Research Humancomputer Interaction Series 1st Ed 2021 Evangelos Karapanos Editor by Evangelos Karapanos (editor), Jens Gerken (editor), Jesper Kjeldskov (editor), Mikael B. Skov (editor) 9783030673215, 3030673219 instant download after payment.

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 “slow technology”, to self-tracking, to mid-air haptic feedback, and crowdsourcing.

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