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Titlebook: Data through Movement; Designing Embodied H Francesco Cafaro,Jessica Roberts Book 2021 The Editor(s) (if applicable) and The Author(s), und

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發(fā)表于 2025-3-21 16:04:22 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Data through Movement
副標(biāo)題Designing Embodied H
編輯Francesco Cafaro,Jessica Roberts
視頻videohttp://file.papertrans.cn/264/263264/263264.mp4
叢書名稱Synthesis Lectures on Visualization
圖書封面Titlebook: Data through Movement; Designing Embodied H Francesco Cafaro,Jessica Roberts Book 2021 The Editor(s) (if applicable) and The Author(s), und
描述When you picture human-data interactions (HDI), what comes to mind? The datafication of modern life, along with open data initiatives advocating for transparency and access to current and historical datasets, has fundamentally transformed when, where, and how people encounter data. People now rely on data to make decisions, understand current events, and interpret the world. We frequently employ graphs, maps, and other spatialized forms to aid data interpretation, yet the familiarity of these displays causes us to forget that even basic representations are complex, challenging inscriptions and are not neutral; they are based on representational choices that impact how and what they communicate. This book draws on frameworks from the learning sciences, visualization, and human-computer interaction to explore embodied HDI. This exciting sub-field of interaction design is based on the premise that every day we produce and have access to quintillions of bytes of data, the exploration and analysis of which are no longer confined within the walls of research laboratories. This volume examines how humans interact with these data in informal (not work or school) environments, paritcularly
出版日期Book 2021
版次1
doihttps://doi.org/10.1007/978-3-031-02610-2
isbn_softcover978-3-031-01482-6
isbn_ebook978-3-031-02610-2Series ISSN 2159-516X Series E-ISSN 2159-5178
issn_series 2159-516X
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-21 23:28:03 | 只看該作者
Designing Engaging Human-Data Interactions,ith the distinctly different—or even absent—motivations for engaging deeply with the data, calls for unique design requirements. We discuss how embodiment and novel, engaging interactions can provide extrinsic motivations to (literally) jump in, and we describe strategies to lure visitors into the interaction with HDI systems.
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發(fā)表于 2025-3-22 01:00:25 | 只看該作者
Embodiment and Sensemaking,a and how these perspectives were related to sensemaking and learning talk. We then discuss how embodiment may support people’s interpretation of causal relationships in data. Finally, we discuss two methodological approaches that can structure the task of assessing the interaction with HDI installations.
地板
發(fā)表于 2025-3-22 06:55:15 | 只看該作者
Conclusion,ny exciting opportunities—and challenges—for research in the field. For this reason, we want to conclude with a look forward toward some of the open challenges that highlight promising research directions for HDI.
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Computer and Information Sciences IIIakoff and Johnson’s Conceptual Metaphor Theory (CMT). Second, we compare definitions of “embodied interaction.” Third, we discuss theories of learning in informal settings, emphasizing learning as situated in a social, cultural, and historical context and mediated through interactions within that context.
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發(fā)表于 2025-3-22 20:22:27 | 只看該作者
Christoph Schnurr,Dietmar Pierre K?nigsettings, as museum visitors do not typically consult user manuals before exploring an installation (Cafaro et al. [2013]). Thus, we need approaches and methodologies to inform the design of these control actions.
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