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During the COVID-19 pandemic, millions of previously co-located information workers had to work from home, a trend expected to become much more commonplace in the future. We interviewed 53 information workers from 17 U.S. teams to understand how this unique extended work-from-home setting influenced teamwork and how they adapted to it. Using a grounded theory approach, we discovered that extended remote work highlighted diversity in team members' home-lives and daily work rhythms. Whereas these types of diversity played only marginal roles for teams in the co-located office, they had a more tangible impact in the work-from-home setting, from coordination delays and interruptions to conflicts related to workload fairness, miscommunication, and trust. Importantly, workers reported that their teams adapted to these challenges by setting explicit norms and standards for online communication and asynchronous collaboration and by promoting general social and situational awareness. We discuss computer-supported designs to help teams manage these latent diversities in an extended remote teamwork setting. 

Personal visualizations present a separate class of visualizations where users interact with their own data to draw inferences about themselves. In this paper, we study how a realistic understanding of personal visualizations can be gained from analyzing user interactions. We designed an interface presenting visualizations of the personal data gathered in a prior study and logged interactions from 369 participants as they each explored their own data. We found that the participants spent different amounts of time in exploring their data and used a variety of physical devices which could have affected their engagement with the visualizations. Our findings also suggest that the participants made more comparisons between their data instances than with the provided baselines and certain interface design choices, such as the ordering of options, influenced their exploratory behaviors.