Hooked on smartphones

Lee, Uichin; Lee, Joonwon; Ko, Minsam; Lee, Changhun; Kim, Yuhwan; Yang, Subin; Yatani, Koji; Gweon, Gahgene; Chung, Kyongmee; Song, Junehwa

doi:10.1145/2556288.2557366

Cited by 144 publications

(50 citation statements)

References 16 publications

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“…Further, without notifications, participants reported to have been more likely to forget checking the phone for extended periods of time. This evidence corroborates previous findings by Lee et al [22] that in mobile phone usage is often triggered by notifications. It also corroborates previous work that notifications cause people to interrupt current activities to timely triage the notification [18,27,33].…”

Section: Notifications Drive Phone Use and Distractsupporting

confidence: 93%

“…Notifications & Engagement: Lee et al [22] showed that notifications often trigger engagement with the mobile phone: in their data set, the majority (79%) of sessions were preceded by notifications. As shown by Mark et al [27], when information workers are without (the interruption of) emails, they switch less between tasks.…”

Section: Related Workmentioning

confidence: 97%

“…Notifications & Availability: On mobile phones, the largest chunk of notifications originate from messaging applications [22,33,37], such as SMS, WhatsApp, or Facebook Messenger. On such communication channels, "people are assumed to be constantly co-present, and thus, constantly available for conversation" [3].…”

Section: Related Workmentioning

confidence: 99%

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Productive, anxious, lonely

Pielot

Rello

2017

Proceedings of the 19th International Conference on Human-Computer Interaction With Mobile Devices and Services

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We report from the Do Not Disturb Challenge where 30 volunteers disabled notification alerts for 24 hours across all devices. The effect of the absence of notifications on the participants was isolated through an experimental study design: we compared self-reported feedback from the day without notifications against a baseline day. The evidence indicates that notifications have locked us in a dilemma: without notifications, participants felt less distracted and more productive. But, they also felt no longer able to be as responsive as expected, which made some participants anxious. And, they felt less connected with one's social group. In contrast to previous reports, about two third of the participants expressed the intention to change how they manage notifications. Two years later, half of the participants are still following through with their plans.

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Section: Notifications Drive Phone Use and Distractsupporting

confidence: 93%

Section: Related Workmentioning

confidence: 97%

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Productive, anxious, lonely

Pielot

Rello

2017

Proceedings of the 19th International Conference on Human-Computer Interaction With Mobile Devices and Services

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“…More recently, several studies have collected data about how mobile devices are used, especially smartphones. For example there have been studies of when devices are unlocked/locked and what apps are launched [28,4,5]; of how battery power is consumed [16,17,15]; of people's communication patterns [49]; of security preferences [1]; of everyday connectivity [30]; and of people's locations when using devices [13]. Church et al [7] give an overview of this area of research and discuss how these studies contribute to a broader understanding of device usage behaviours.…”

Section: Tracking Digital Device Usementioning

confidence: 99%

“…This software need not necessarily have a user interface, and there have been several studies in which none is given (e.g. Do et al [13], Falaki et al [15], Karlson et al [26], Lord et al [30], Lee et al [28]). In other cases, particularly where an app is to be released through an app store and no incentive is given for installing the app, an interface has been provided (and indeed the interface serves as the incentive to install and retain the app [7]).…”

Section: Tracking Digital Device Usementioning

confidence: 99%

Personal Tracking of Screen Time on Digital Devices

Rooksby

Asadzadeh

Rost

et al. 2016

Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems

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Numerous studies have tracked people's everyday use of digital devices, but without consideration of how such data might be of personal interest to the user. We have developed a personal tracking application that enables users to automatically monitor their 'screen time' on mobile devices (iOS and Android) and computers (Mac and Windows). The application interface enables users to combine screen time data from multiple devices. We trialled the application for 28+ days with 21 users, collecting log data and interviewing each user. We found that there is interest in personal tracking in this area, but that the study participants were less interested in quantifying their overall screen time than in gaining data about their use of specific devices and applications. We found that personal tracking of device use is desirable for goals including: increasing productivity, disciplining device use, and cutting down on use.

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