research-article

A Multi-Sensor Approach to Automatically Recognize Breaks and Work Activities of Knowledge Workers in Academia

Authors:

Elena Di Lascio,

Juan Sebastian Hidalgo,

Maike E. Debus,

Silvia SantiniAuthors Info & Claims

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Volume 4, Issue 3

Article No.: 78, Pages 1 - 20

https://doi.org/10.1145/3411821

Published: 04 September 2020 Publication History

Abstract

Personal informatics systems for the work environment can help improving workers' well-being and productivity. Using both self-reported data logged manually by the users and information automatically inferred from sensor measurements, such systems may track users' activities at work and help them reflect on their work habits through insightful data visualizations. They can further support interventions like, e.g., blocking distractions during work activities or suggest the user to take a break. The ability to automatically recognize when the user is engaged in a work activity or taking a break is thus a fundamental primitive such systems need to implement. In this paper, we explore the use of data collected from personal devices -- smartwatches, laptops, and smartphones -- to automatically recognize when users are working or taking breaks. We collect a data set of of continuous streams of sensor data captured from personal devices along with labels indicating whether a user is working or taking a break. We use multiple instruments to facilitate the collection of users' self-reported labels and discuss our experience with this approach. We analyse the available data -- 449 labelled activities of nine knowledge workers collected during a typical work week -- using machine learning techniques and show that user-independent models can achieve a (F1 score) of 94% for the identification of work activities and of 69% for breaks, outperforming baseline methods by 5-10 and 12-54 percentage points, respectively.

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Cited By

Miao SChen LHu R(2024)Spatial-Temporal Masked Autoencoder for Multi-Device Wearable Human Activity RecognitionProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36314157:4(1-25)Online publication date: 12-Jan-2024
https://dl.acm.org/doi/10.1145/3631415
Aggarwal DKhot RYi JCiolfi LHogan TDöring TJenkins Tvan Dijk JHuron SLi ZCoyle DSigner B(2024)Zenscape: Encouraging Microbreaks from Screen-based Work through a Tangible SystemProceedings of the Eighteenth International Conference on Tangible, Embedded, and Embodied Interaction10.1145/3623509.3633368(1-17)Online publication date: 11-Feb-2024
https://dl.acm.org/doi/10.1145/3623509.3633368
Hernandez RSong QKou YGui X(2024)"At the end of the day, I am accountable": Gig Workers' Self-Tracking for Multi-Dimensional Accountability ManagementProceedings of the CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642151(1-20)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642151
Show More Cited By

Index Terms

A Multi-Sensor Approach to Automatically Recognize Breaks and Work Activities of Knowledge Workers in Academia
1. Human-centered computing
  1. Ubiquitous and mobile computing
    1. Ubiquitous and mobile computing systems and tools

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cover image Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies Volume 4, Issue 3

September 2020

1061 pages

EISSN:2474-9567

DOI:10.1145/3422862

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Copyright © 2020 ACM.

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Published: 04 September 2020

Published in IMWUT Volume 4, Issue 3

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Cited By

Miao SChen LHu R(2024)Spatial-Temporal Masked Autoencoder for Multi-Device Wearable Human Activity RecognitionProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36314157:4(1-25)Online publication date: 12-Jan-2024
https://dl.acm.org/doi/10.1145/3631415
Aggarwal DKhot RYi JCiolfi LHogan TDöring TJenkins Tvan Dijk JHuron SLi ZCoyle DSigner B(2024)Zenscape: Encouraging Microbreaks from Screen-based Work through a Tangible SystemProceedings of the Eighteenth International Conference on Tangible, Embedded, and Embodied Interaction10.1145/3623509.3633368(1-17)Online publication date: 11-Feb-2024
https://dl.acm.org/doi/10.1145/3623509.3633368
Hernandez RSong QKou YGui X(2024)"At the end of the day, I am accountable": Gig Workers' Self-Tracking for Multi-Dimensional Accountability ManagementProceedings of the CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642151(1-20)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642151
Kabir KWiese J(2023)A Meta-Synthesis of the Barriers and Facilitators for Personal Informatics SystemsProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36108937:3(1-35)Online publication date: 27-Sep-2023
https://dl.acm.org/doi/10.1145/3610893
Laporte MGjoreski MLangheinrich M(2023)LAUREATEProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36108927:3(1-41)Online publication date: 27-Sep-2023
https://dl.acm.org/doi/10.1145/3610892
Zhu RShi LSong YCai Z(2023)Integrating Gaze and Mouse Via Joint Cross-Attention Fusion Net for Students' Activity Recognition in E-learningProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36108767:3(1-35)Online publication date: 27-Sep-2023
https://dl.acm.org/doi/10.1145/3610876
Van Den Heuvel RLallemand C(2023)Personal Informatics at the Office: User-Driven, Situated Sensor Kits in the WorkplaceProceedings of the 2nd Annual Meeting of the Symposium on Human-Computer Interaction for Work10.1145/3596671.3598577(1-13)Online publication date: 13-Jun-2023
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Haliburton LKheirinejad SSchmidt AMayer S(2023)Exploring Smart Standing Desks to Foster a Healthier WorkplaceProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35962607:2(1-22)Online publication date: 12-Jun-2023
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Alchieri LAlecci LAbdalazim NSantini S(2023)Recognition of Engagement from Electrodermal Activity Data Across Different ContextsAdjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing10.1145/3594739.3610701(108-112)Online publication date: 8-Oct-2023
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Ahire SRohs MBenjamin S(2022)Ubiquitous Work Assistant: Synchronizing a Stationary and a Wearable Conversational Agent to Assist Knowledge WorkProceedings of the 1st Annual Meeting of the Symposium on Human-Computer Interaction for Work10.1145/3533406.3533420(1-9)Online publication date: 8-Jun-2022
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