@inproceedings{96f00bd3b0824329a1c9e5ee108301a0,
title = "Social media and ubiquitous technologies for remote worker wellbeing and productivity in a post-pandemic world",
abstract = "In light of the ongoing COVID-19 pandemic, remote work styles have become the norm. However, these work settings introduce new intricacies in worker behaviors. The overlap between work and home can disrupt performance. The lack of social interaction can affect motivation. This elicits a need to implement novel methods to evaluate and enhance remote worker functioning. The potential to unobtrusively and automatically assess such workers can be fulfilled by social media and ubiquitous technologies. This paper situates recent research in the new context by extending our insights for increased remote interaction and online presence. We present implications for proactive assessment of remote workers by understanding day-level activities, coordination, role awareness, and organizational culture. Additionally, we discuss the ethics of privacy-preserving deployment, employer surveillance, and digital inequity. This paper aims to inspire pervasive technologies for the new future of work.",
keywords = "Bluetooth, COVID-19, Culture, Future of work, LinkedIn, Passive sensing, Persona, Personnel management, Remote work, Role, Routine, Social media, Worker wellbeing",
author = "{Das Swain}, Vedant and Koustuv Saha and Abowd, {Gregory D.} and {De Choudhury}, Munmun",
note = "Funding Information: ACKNOWLEDGMENTS De Choudhury was partly supported by a COVID-19 related Rapid Response Research (RAPID) grant #2027689 from the National Science Foundation. We thank all the researchers collaborating in the Tesserae project for their support and feedback over the years. Publisher Copyright: {\textcopyright} 2020 IEEE.; 2nd IEEE International Conference on Cognitive Machine Intelligence, CogMI 2020 ; Conference date: 01-12-2020 Through 03-12-2020",
year = "2020",
month = oct,
doi = "10.1109/CogMI50398.2020.00025",
language = "English (US)",
series = "Proceedings - 2020 IEEE 2nd International Conference on Cognitive Machine Intelligence, CogMI 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "121--130",
booktitle = "Proceedings - 2020 IEEE 2nd International Conference on Cognitive Machine Intelligence, CogMI 2020",
address = "United States",
}