'Don't Waste My Time'

Whittaker, Steve; Kalnikaitė, Vaiva; Hollis, Victoria; Guydish, Andrew J.

doi:10.1145/2858036.2858193

Cited by 58 publications

(15 citation statements)

References 22 publications

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“…Within this framework, technology's intrinsic properties and functionalities are seen as drivers of sociocultural changes in the workplace, and workers only have space for deciding whether to accept or refuse them. This idea is in line with the more recent conception that technologies represent opportunities for changing individual behaviors in different domains (Rapp, Tirassa, & Tirabeni, 2019) and, in particular, within the workplace (Whittaker, Kalnikaite, Hollis, & Guydish, 2016).…”

Section: Conclusion: the Need To Explore Appropriation Dynamicssupporting

confidence: 77%

Digital technologies and power dynamics in the organization: A conceptual review of remote working and wearable technologies at work

Miele

Tirabeni

2020

Sociology Compass

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In this article, we examine the kinds of control practices that emerge with the introduction of digital technologies, and how these technologies are employed to shape power within workplaces. We present a comparative conceptual review of work practices by contrasting remote work and the use of workplace wearables. We trace forms of power and control that have been enacted with the adoption of these work‐related technologies and associated practices. We find that the prevailing literature focuses on the practices enacted by management in order to control workers and exert power over them, and we propose that a more comprehensive approach be taken. In support of this view, we show how the concept of appropriation emerges from science and technology studies, and we argue that such a concept would be useful for exploring how workers use and incorporate digital technologies into their daily lives, thus reshaping power in organizations.

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Section: Conclusion: the Need To Explore Appropriation Dynamicssupporting

confidence: 77%

Digital technologies and power dynamics in the organization: A conceptual review of remote working and wearable technologies at work

Miele

Tirabeni

2020

Sociology Compass

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“…The most common form of presentation was the display of usage statistics: Whittaker et al (2016) created a computer program #7a,#7b which displayed the most‐used programs from the last 30 min to the participants, showing the most‐frequently used programs larger than the less frequently used ones. Lottridge et al (2012) modified the web browser to show statistics about the frequency of work versus non‐work websites that the participants visited #1 .…”

Section: Findings and Analysismentioning

confidence: 99%

Digital self‐control interventions for distracting media multitasking ‐ A systematic review

Biedermann

Schneider

Drachsler

2021

Computer Assisted Learning

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Digital distractions can interfere with goal attainment and lead to undesirable habits that are hard to get red rid of. Various digital self‐control interventions promise support to alleviate the negative impact of digital distractions. These interventions use different approaches, such as the blocking of apps and websites, goal setting, or visualizations of device usage statistics. While many apps and browser extensions make use of these features, little is known about their effectiveness. This systematic review synthesizes the current research to provide insights into the effectiveness of the different kinds of interventions. From a search of the ‘ACM’, ‘Springer Link’, ‘Web of Science’, ’IEEE Xplore’ and ‘Pubmed’ databases, we identified 28 digital self‐control interventions. We categorized these interventions according to their features and their outcomes. The interventions showed varying degrees of effectiveness, and especially interventions that relied purely on increasing the participants' awareness were barely effective. For those interventions that sanctioned the use of distractions, the current literature indicates that the sanctions have to be sufficiently difficult to overcome, as they will otherwise be quickly dismissed. The overall confidence in the results is low, with small sample sizes, short study duration, and unclear study contexts. From these insights, we highlight research gaps and close with suggestions for future research.

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“…We see a growing body of literature on productivity tracking technologies designed to help people track their productivity to improve self-awareness, which could lead to enhanced productivity [21,27,37,38,44,52]. Because information devices (e.g., computers, smartphones) have become an integral part of people's work, as well as a source of distraction, many productivity tracking systems enable people to record device usage behaviors to provide insights into their usage patterns.…”

Section: Enhancing Personal Productivity With Self-trackingmentioning

confidence: 99%

“…These systems predominantly incorporate automated tracking, and thus rely on the relatively simple measurements that can be captured. For example, many of these tools capture the usage duration of each application (e.g., [21,27,32,43,52]) or the device (e.g., [44]), and some of them calculate a productivity score derived from the ratio of productive application usage to total computer usage [27,43]. Commercial tools for developers' productivity usually track a developer's programming activities such as interactions with the integrated development environment (e.g., [11,51]).…”

Section: Enhancing Personal Productivity With Self-trackingmentioning

confidence: 99%

“…Self-tracking of personal productivity is a common technique to improve productivity [46] because it helps knowledge workers understand and reflect on how they spend their time. Productivity tracking technologies have become proliferated in our everyday life, supporting to track usage patterns at a device level (e.g., Moment [22], Screen-Life [44]) as well as an app level (e.g., RescueTime [43], TimeAware [27], meTime [52]).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Understanding Personal Productivity

Kim

Choe

Lee

et al. 2019

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

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Productivity tracking tools often determine productivity based on the time interacting with work-related applications. To deconstruct productivity's diverse and nebulous nature, we investigate how knowledge workers conceptualize personal productivity and delimit productive tasks in both work and non-work contexts. We report a 2-week diary study followed by a semi-structured interview with 24 knowledge workers. Participants captured productive activities and provided the rationale for why the activities were assessed to be productive. They reported a wide range of productive activities beyond typical desk-bound work-ranging from having a personal conversation with dad to getting a haircut. We found six themes that characterize the productivity assessment-work product, time management, worker's state, attitude toward work, impact & benefit, and compound task-and identified how participants interleaved multiple facets when assessing their productivity. We discuss how these findings could inform the design of a comprehensive productivity tracking system that covers a wide range of productive activities. CCS CONCEPTS • Human-centered computing → Empirical studies in HCI.

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'Don't Waste My Time'

Cited by 58 publications

References 22 publications

Digital technologies and power dynamics in the organization: A conceptual review of remote working and wearable technologies at work

Digital technologies and power dynamics in the organization: A conceptual review of remote working and wearable technologies at work

Digital self‐control interventions for distracting media multitasking ‐ A systematic review

Understanding Personal Productivity

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