25/04/2020

Optimizing for Happiness and Productivity: Modeling Opportune Moments for Transitions and Breaks at Work

Harmanpreet Kaur, Alex Williams, Daniel McDuff, Mary Czerwinski, Jaime Teevan, Shamsi Iqbal

Keywords: affect, productivity, workplace, recommendations

Abstract Paper Similar Papers

Abstract: Information workers perform jobs that demand constant multitasking, leading to context switches, productivity loss, stress, and unhappiness. Systems that can mediate task transitions and breaks have the potential to keep people both productive and happy. We explore a crucial initial step for this goal: finding opportune moments to recommend transitions and breaks without disrupting people during focused states. Using affect, workstation activity, and task data from a three-week field study (N=25), we build models to predict whether a person should continue their task, transition to a new task, or take a break. The R-squared values of our models are as high as 0.7, with only 15

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