Snooze!

Weber, Dominik; Voit, Alexandra; Auda, Jonas; Schneegaß, Stefan; Henze, Niels

doi:10.1145/3229434.3229436

Cited by 32 publications

(3 citation statements)

References 36 publications

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“…Moreover, we identified in all three datasets that the IDL is above average in the morning hours (see Figure 3 , ③). A similar trend is shown in a study of [ 25 ]: they found that highest number of notifications per hour are posted in the morning, and the lowest at night and in the evening. Interestingly, their application allowed users to snooze notifications and the highest number of snoozes per hour was also in the morning.…”

Section: Discussionsupporting

confidence: 86%

“…Additionally, participants reported feeling stressed and overwhelmed by the number of notifications received, particularly from messaging apps. Weber et al [ 25 ], in turn, investigated how users deal with interruptions from mobile notifications by manually deferring them. Previous research has focused on delivering notifications at convenient times to avoid interrupting users.…”

Section: Related Workmentioning

confidence: 99%

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Call to Action: Investigating Interaction Delay in Smartphone Notifications

Stach,

Mulansky,

Reichert

et al. 2024

Sensors

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Notifications are an essential part of the user experience on smart mobile devices. While some apps have to notify users immediately after an event occurs, others can schedule notifications strategically to notify them only on opportune moments. This tailoring allows apps to shorten the users’ interaction delay. In this paper, we present the results of a comprehensive study that identified the factors that influence users’ interaction delay to their smartphone notifications. We analyzed almost 10 million notifications collected in-the-wild from 922 users and computed their response times with regard to their demographics, their Big Five personality trait scores and the device’s charging state. Depending on the app category, the following tendencies can be identified over the course of the day: Most notifications were logged in late morning and late afternoon. This number decreases in the evening, between 8 p.m. and 11 p.m., and at the same time exhibits the lowest average interaction delays at daytime. We also found that the user’s sex and age is significantly associated with the response time. Based on the results of our study, we encourage developers to incorporate more information on the user and the executing device in their notification strategy to notify users more effectively.

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Section: Discussionsupporting

confidence: 86%

Section: Related Workmentioning

confidence: 99%

Call to Action: Investigating Interaction Delay in Smartphone Notifications

Stach,

Mulansky,

Reichert

et al. 2024

Sensors

View full text Add to dashboard Cite

show abstract

“…2 With about 65.3 notifications per day, these visual-, auditory-, and haptic signals of new incoming information on ICT devices have become a prominent source for interruptions. 3 In this way, they support collaborative practices, instant communication and the feeling to be connected to others. 4,5 However, these benefits need to be considered alongside the negative effects through high frequency of notification 6 and their interrupting character.…”

Section: Introductionmentioning

confidence: 99%

Effects of task interruptions caused by notifications from communication applications on strain and performance

Ohly

Bastin

2023

Journal of Occupational Health

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ObjectivesTo examine the effect of automatic communication notifications on performance and strain. Because of the benefits of communication, we expected this effect to be moderated by fear of missing out (FoMO) and social norms of responsiveness, expressed in the experience of telepressure.MethodsA field experiment (N = 247) was conducted in which participants in the experimental group disabled their notification during 1 day (N = 124).ResultsThe findings revealed that a reduction of notification‐caused interruptions is beneficial for performance and reducing strain. The moderating of FoMO and telepressure was significant for performance.ConclusionsBased on these findings, reducing the number of notifications is recommended, especially for employee's low in FoMO and medium to high telepressure. Future work needs to analyze the role of anxiety impeding cognitive performance when notifications are disabled.

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Recommendations for Conducting Longitudinal Experience Sampling Studies

Berkel

Kostakos

2021

Human–Computer Interaction Series

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Snooze!

Cited by 32 publications

References 36 publications

Call to Action: Investigating Interaction Delay in Smartphone Notifications

Call to Action: Investigating Interaction Delay in Smartphone Notifications

Effects of task interruptions caused by notifications from communication applications on strain and performance

Recommendations for Conducting Longitudinal Experience Sampling Studies

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