Comput Support Coop Work
April 2022
While CSCW researchers have studied collaboration across distance for more than two decades, the scale and context of geographically distributed work during the pandemic is unprecedented. Working from home as the default setting during the COVID-19 pandemic provides a unique opportunity for CSCW research to explore and develop new understandings of what it entails to engage in distributed collaborative work during a global crisis. In this paper, we revisit the distance framework, originally developed by Olson and Olson in 2000, through empirical data collected during the critical moments where COVID-19 was declared a pandemic and the world shut down: namely March 2020.
View Article and Find Full Text PDFDespite a growing interest in self-tracking of one's health, what factors lead to self-tracking routinely (i.e., collecting data at regular intervals), and the effects of this behavior, remain largely understudied.
View Article and Find Full Text PDFAMIA Annu Symp Proc
March 2019
Many mood tracking apps are available on smartphone app stores, but little is known about their features and their users' experiences. To investigate commercially available mood tracking apps, we conducted an in-depth feature analysis of 32 apps, and performed a qualitative analysis of a set of user reviews. Informed by a widely adopted personal informatics framework, we conducted a feature analysis to investigate how these apps support four stages of selftracking: preparation, collection, reflection, and action; and found that mood tracking apps offer many features for the collection and reflection stages, but lack adequate support for the preparation and action stages.
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