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Tiny habits in the giant enterprise: understanding the dynamics of a quantified workplace

Published: 07 September 2015 Publication History

Abstract

We offer a reflection on the technology usage for workplace quantification through an in the wild study. Using a prototype Quantified Workplace system equipped with passive and participatory sensing modalities, we collected and visualized different workplace metrics (noise, color, air quality, self reported mood, and self reported activity) in two European offices of a research organization for a period of 4 months. Next we surveyed 70 employees to understand their engagement experience with the system. We then conducted semi-structured interviews with 20 employees in which they explained which workplace metrics are useful and why, how they engage with the system and what privacy concerns they have. Our findings suggest that sense of inclusion acts as the initial incentive for engagement which gradually translates into a habitual routine. We found that incorporation of an anonymous participatory sensing aspect into the system could lead to sustained user engagement. Compared to past studies we observed a shift in the privacy concerns, due to the trust and transparency of our prototype system. We conclude by providing a set of design principles for building future Quantified Workplace systems.

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  • (2024)Examining Algorithmic Metrics and their Effects through the Lens of ReactivityProceedings of the 2024 ACM Designing Interactive Systems Conference10.1145/3643834.3660676(3179-3192)Online publication date: 1-Jul-2024
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    cover image ACM Conferences
    UbiComp '15: Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing
    September 2015
    1302 pages
    ISBN:9781450335744
    DOI:10.1145/2750858
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Published: 07 September 2015

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    Author Tags

    1. empirical study
    2. quantified workplace
    3. social sensing

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    • FX Palo Alto Laboratory, Inc.
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    UbiComp '15 Paper Acceptance Rate 101 of 394 submissions, 26%;
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    • (2024)Using Speculative Design to Understand Preferred Futures for the Design and Use of Tracking Data in U.S. College Sport TeamsProceedings of the ACM on Human-Computer Interaction10.1145/36410288:CSCW1(1-35)Online publication date: 26-Apr-2024
    • (2024)Making Data Work CountProceedings of the ACM on Human-Computer Interaction10.1145/36373678:CSCW1(1-26)Online publication date: 26-Apr-2024
    • (2023)KASH TRAINING MODELS: INCREASING LEVELS OF COMMITMENT AND ORGANIZATIONAL EFFECTIVENESSBusiness: Theory and Practice10.3846/btp.2023.1748024:1(239-249)Online publication date: 11-Jan-2023
    • (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
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    • (2023)Bringing Movement to Digital Tasks at the Office: Designing an Acceptably Active Interface Interaction for Sending EmailsProceedings of the Seventeenth International Conference on Tangible, Embedded, and Embodied Interaction10.1145/3569009.3573113(1-8)Online publication date: 26-Feb-2023
    • (2023)Understanding occupants’ experiences in quantified buildings: results from a series of exploratory studies.Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581256(1-15)Online publication date: 19-Apr-2023
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