TY - GEN
T1 - Large scale analysis of multitasking behavior during remote meetings
AU - Cao, Hancheng
AU - Lee, Chia Jung
AU - Iqbal, Shamsi
AU - Czerwinski, Mary
AU - Wong, Priscilla
AU - Rintel, Sean
AU - Hecht, Brent
AU - Teevan, Jaime
AU - Yang, Longqi
N1 - Publisher Copyright:
© 2021 ACM.
PY - 2021/5/6
Y1 - 2021/5/6
N2 - Virtual meetings are critical for remote work because of the need for synchronous collaboration in the absence of in-person interactions. In-meeting multitasking is closely linked to people's productivity and wellbeing. However, we currently have limited understanding of multitasking in remote meetings and its potential impact. In this paper, we present what we believe is the most comprehensive study of remote meeting multitasking behavior through an analysis of a large-scale telemetry dataset collected from February to May 2020 of U.S. Microsoft employees and a 715-person diary study. Our results demonstrate that intrinsic meeting characteristics such as size, length, time, and type, signifcantly correlate with the extent to which people multitask, and multitasking can lead to both positive and negative outcomes. Our fndings suggest important best-practice guidelines for remote meetings (e.g., avoid important meetings in the morning) and design implications for productivity tools (e.g., support positive remote multitasking).
AB - Virtual meetings are critical for remote work because of the need for synchronous collaboration in the absence of in-person interactions. In-meeting multitasking is closely linked to people's productivity and wellbeing. However, we currently have limited understanding of multitasking in remote meetings and its potential impact. In this paper, we present what we believe is the most comprehensive study of remote meeting multitasking behavior through an analysis of a large-scale telemetry dataset collected from February to May 2020 of U.S. Microsoft employees and a 715-person diary study. Our results demonstrate that intrinsic meeting characteristics such as size, length, time, and type, signifcantly correlate with the extent to which people multitask, and multitasking can lead to both positive and negative outcomes. Our fndings suggest important best-practice guidelines for remote meetings (e.g., avoid important meetings in the morning) and design implications for productivity tools (e.g., support positive remote multitasking).
KW - Collaboration
KW - Meeting
KW - Multitasking
KW - Remote work
UR - http://www.scopus.com/inward/record.url?scp=85105779086&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85105779086&partnerID=8YFLogxK
U2 - 10.1145/3411764.3445243
DO - 10.1145/3411764.3445243
M3 - Conference contribution
AN - SCOPUS:85105779086
T3 - Conference on Human Factors in Computing Systems - Proceedings
BT - CHI 2021 - Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
PB - Association for Computing Machinery
T2 - 10th International Conference on Materials Processing and Characterisation, ICMPC 2020
Y2 - 21 February 2020 through 23 February 2020
ER -