2017
DOI: 10.1145/3130951
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Detecting Emerging Activity-Based Working Traits through Wearable Technology

Abstract: A recent trend in corporate real-estate is Activity-Based Working (ABW). The ABW concept removes designated desks but offers different work settings designed to support typical work activities. In this context there is still a need for objective data to understand the implications of these design decisions. We aim to contribute by using automated data collection to study how ABW's principles impact office usage and dynamics. To this aim we analyse team dynamics and employees' tie strength in relation to space … Show more

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Cited by 11 publications
(10 citation statements)
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References 35 publications
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“…Such behaviors can be automatically sensed with the help of passive sensors in worker devices (e.g., smartphones and workstation logs) [28]. Proximity sensors have been deployed in workspaces to investigate the importance of movement or more specifically the diversity in workspaces [40]. Therefore, organizations have an incentive to promote physical movement and suggest workers to change work locations.…”
Section: Moving Beyond Static Personality: Incorporating Temporally-varying Activitymentioning
confidence: 99%
See 1 more Smart Citation
“…Such behaviors can be automatically sensed with the help of passive sensors in worker devices (e.g., smartphones and workstation logs) [28]. Proximity sensors have been deployed in workspaces to investigate the importance of movement or more specifically the diversity in workspaces [40]. Therefore, organizations have an incentive to promote physical movement and suggest workers to change work locations.…”
Section: Moving Beyond Static Personality: Incorporating Temporally-varying Activitymentioning
confidence: 99%
“…While personality changes steadily, day-level activities are sensitive to disruptions in the work context, such as an extended stay-at-home protocol in the light of the COVID-19 pandemic. Therefore, personnel management should leverage data from worker devices to identify mutable activities associated with better performance [18,40] and promote positive activities and behaviors within the workforce.…”
Section: Moving Beyond Static Personality: Incorporating Temporally-varying Activitymentioning
confidence: 99%
“…In response to underutilized space across an organization's CRE footprint, the foundation of AFOs is based upon right-sizing the workplace with the freedom to select from a variety of work spaces based on user needs (Gorgievski et al, 2010). This concept is translated into transparent spaces, including unassigned workstations in open areas and different nonassigned open and enclosed alternative work settings (AWS) for all employees (Appel-Meulenbroek et al, 2011;Montanari et al, 2017;Hoendervanger et al, 2018;. The limited amount of empirical research on AFOs to date has been overall positive.…”
Section: Introductionmentioning
confidence: 99%
“…The general discussion about user's privacy expectations and preferences from IoT sensors data are widely explored in [12][13][14][15]. The survey investigates the privacy expectations of 1,007 Amazon Mechanical Turk US workers with 14 different scenarios, which are varied with 8 identified influential factors.…”
Section: Privacy Expectationsmentioning
confidence: 99%
“…These factors are influential for location tracking also and similar expectation and concern continues in participant's mind. As an example, participants of the experiment [13] (the human proximity detection) [14] (space management and human interaction detection) and [15] (communication tracking) showed positive reactions because all the collected data were anonymous and they were well informed about the data collection. In addition, they also had a clear understanding of data collection process and use of the data.…”
Section: Privacy Expectationsmentioning
confidence: 99%