Titlebook: Advances in Longitudinal HCI Research; Evangelos Karapanos,Jens Gerken,Mikael B. Skov Book 2021 Springer Nature Switzerland AG 2021 Longit

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書目名稱Advances in Longitudinal HCI Research影響因子(影響力)




書目名稱Advances in Longitudinal HCI Research影響因子(影響力)學(xué)科排名




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書目名稱Advances in Longitudinal HCI Research網(wǎng)絡(luò)公開度學(xué)科排名




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書目名稱Advances in Longitudinal HCI Research被引頻次學(xué)科排名




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矛盾心理

Human–Computer Interaction Serieshttp://image.papertrans.cn/a/image/148695.jpg

Spinal-Fusion

Stephen Manuck,David Krantz,Joanna Polefronecal and methodological considerations, and presenting case studies of longitudinal HCI research. In this short introduction to the book, we reflect on the need for longitudinal studies in human–computer interaction research, we define what is and what is not longitudinal research and outline the sel

Legion

Andrew Steptoe,Heinz Rüddel,Hermann Neusly, longitudinal studies eliminate learning or novelty effects by considering change through repeated measurements of interaction and use. However, there seems to exist no agreement of how longitudinal HCI study designs are characterized. We conducted an analysis of 106 HCI papers published at the C

FATAL

Lymphocytic Choriomeningitis Virus,re. In this chapter, we will overview the reasons provided by researchers for when a longitudinal study is appropriate. Longitudinal studies have a particular focus on time and change. Time and change address a concern for understanding the details of human actors’ behaviour and perceptions both as

下船

放縱

William G. Stroop,J. Richard Baringere researcher themselves, as opposed to external users (or participants). We present three projects where longitudinal ‘a(chǎn)uto-approaches’ to research and design in HCI were applied, namely one auto-ethnography and two autobiographical designs. These projects help illustrate the benefits and challenges

占線

Metabolic Syndrome in Psoriasisan participants. While objective data collection can be obtained by and mediated through personal informatics, subjective data is mostly collected through labour-intensive tools. The potential of sensor-embedded everyday objects as subjective data collection tools is underexplored. Hence, in this ch

記成螞蟻

Aurora Parodi,Franco Rongioletti to achieve a specific goal. This problem description is known as the multi-armed bandit (MAB) problem and we describe it in detail and relate it to the methodological considerations that arise when designing longitudinal studies in HCI. Subsequently, the chapter reviews multiple treatment allocatio

Systemic

Alfredo Rebora,Franco Rongioletti designers consider in crafting such kinds of computational things? And, how should we study and evaluate such new technologies through a longer temporal frame? In this chapter, we draw on examples of longitudinal field studies of the Photobox and Olly research products to explore these questions an