text: 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.
  @cite_35: Notifications are the mechanism that mobile applications utilize to let users know that a new message, email, call or similar has been received. Notifications may make a sound, a vibration or modify the app icon in some way. They may make us stop what we are doing, thus interrupting us and having a negative effect on our work. Before defining a cause-effect relation between notifications and their impact on the users' current tasks, first we have to study how users manage notifications. This paper describes the results of a survey on how users react when they receive a notification. The results of this descriptive research show how people are moving from sound to visual notifications, which reflects the ability of people to adapt to new technologies.
  @cite_18: telephone or IM, which provided mediated co-presence when one was in the vicinity of a landline phone or PC, today’s mobile devices provide constant co-presence. Instant messaging is often combined with text messaging or proprietary messaging clients (e.g., BlackBerry Messenger, Apple’s iMessage, etc.), such that today’s teens send hundreds of messages per day to stay in touch with family and friends [3]. People are assumed to be constantly co-present, and thus, constantly available for conversation. This is taking a toll. There is evidence that all of these opportunities for interaction cause overload and stress. A recent Pew report suggests that nearly a third of respondents periodically turn off their phones just to take a break from all of the interaction opportunities they provide [4]. Sherri Turkle’s recent book suggests we are paying more attention to our devices than to each other [5]. Others report feeling disco-presence (i.e., being on the phone at the same time) could offer a similar experience. And one could inquire about another’s availability for mediated co-presence by calling in a more modern sense; namely, by dialing the phone and waiting for a response on the other end [1]. Instant messaging (IM) and chat systems, which became very popular in the late 1990s and early 2000s, changed this process again [2]. With these systems, one had a list of contacts who were co-present at any given time. Co-presence, for many users of these systems, suggested availability for conversation and was often reason enough to start one. The contact list made co-presence even easier to coordinate. More recently, there has been a larger socio-technical shift that we believe has significant consequences for how people coordinate around communication. In contrast to Historically, the problem of coordinating opportunities for real-time communication has been dominated by the problem of co-presence. Before there was any interactive media, people had to be in the same place to talk. Visiting somebody’s house (“calling,” in the early sense) to see if they were available or scheduling a time to meet were both good ways of coordinating. Early media such as the telephone changed this process a bit, in that people no longer needed to be physically co-present to talk. Mediated Understanding Unavailability in a World of Constant Connection
  @cite_26: Text messaging has become a popular form of communication with mobile phones worldwide. We present findings from a large scale text messaging study of 70 university students in the United States. We collected almost 60, 000 text messages over a period of 4 months using a custom logging tool on our participants' phones. Our re- sults suggest that students communicate with a large number of contacts for extended periods of time, engage in simultaneous conversations with as many as 9 contacts, and often use text messaging as a method to switch between a variety of communication mediums. We also explore the content of text messages, and ways text message habits have changed over the last decade as it has become more popular. Finally, we offer design suggestions for future mobile communication tools.
  @cite_8: Notifications are a core feature of mobile phones. They inform users about a variety of events. Users may take immediate action or ignore them depending on the importance of a notification as well as their current context. The nature of notifications is manifold, applications use them both sparsely and frequently. In this paper we present the first large-scale analysis of mobile notifications with a focus on users' subjective perceptions. We derive a holistic picture of notifications on mobile phones by collecting close to 200 million notifications from more than 40,000 users. Using a data-driven approach, we break down what users like and dislike about notifications. Our results reveal differences in importance of notifications and how users value notifications from messaging apps as well as notifications that include information about people and events. Based on these results we derive a number of findings about the nature of notifications and guidelines to effectively use them.
  @cite_36: Social norm has it that people are expected to respond to mobile phone messages quickly. We investigate how attentive people really are and how timely they actually check and triage new messages throughout the day. By collecting more than 55,000 messages from 42 mobile phone users over the course of two weeks, we were able to predict people's attentiveness through their mobile phone usage with close to 80 accuracy. We found that people were attentive to messages 12.1 hours a day, i.e. 84.8 hours per week, and provide statistical evidence how very short people's inattentiveness lasts: in 75 of the cases mobile phone users return to their attentive state within 5 minutes. In this paper, we present a comprehensive analysis of attentiveness throughout each hour of the day and show that intelligent notification delivery services, such as bounded deferral, can assume that inattentiveness will be rare and subside quickly.
  @cite_19: Notifications on mobile phones alert users about new messages, emails, social network updates, and other events. However, little is understood about the nature and effect of such notifications on the daily lives of mobile users. We report from a one-week, in-situ study involving 15 mobile phones users, where we collected real-world notifications through a smartphone logging application alongside subjective perceptions of those notifications through an online diary. We found that our participants had to deal with 63.5 notifications on average per day, mostly from messengers and email. Whether the phone is in silent mode or not, notifications were typically viewed within minutes. Social pressure in personal communication was amongst the main reasons given. While an increasing number of notifications was associated with an increase in negative emotions, receiving more messages and social network updates also made our participants feel more connected with others. Our findings imply that avoiding interruptions from notifications may be viable for professional communication, while in personal communication, approaches should focus on managing expectations.
  @cite_31: The negative aspects of smartphone overuse on young adults, such as sleep deprivation and attention deficits, are being increasingly recognized recently. This emerging issue motivated us to analyze the usage patterns related to smartphone overuse. We investigate smartphone usage for 95 college students using surveys, logged data, and interviews. We first divide the participants into risk and non-risk groups based on self-reported rating scale for smartphone overuse. We then analyze the usage data to identify between-group usage differences, which ranged from the overall usage patterns to app-specific usage patterns. Compared with the non-risk group, our results show that the risk group has longer usage time per day and different diurnal usage patterns. Also, the risk group users are more susceptible to push notifications, and tend to consume more online content. We characterize the overall relationship between usage features and smartphone overuse using analytic modeling and provide detailed illustrations of problematic usage behaviors based on interview data.
  @cite_10: While the subject of interruptions has received considerable attention among organizational researchers, the pervasive presence of information and communication technologies has not been adequately conceptualized. Here we consider the way knowledge workers interact with these technologies. We present fine-grained data that reveal the crucial role of mediated communication in the fragmentation of the working day. These mediated interactions, which are both frequent and short, have been commonly viewed as interruptions — as if the issue is the frequency of these single, isolated events. In contrast, we argue that knowledge workers inhabit an environment where communication technologies are ubiquitous, presenting simultaneous, multiple and ever-present calls on their attention. Such a framing employs a sociomaterial approach which reveals how contemporary knowledge work is itself a complex entanglement of social practices and the materiality of technical artefacts. Our findings show that employees engage in new work strategies as they negotiate the constant connectivity of communication media.
  @cite_12: Mobile instant messaging (e.g., via SMS or WhatsApp) often goes along with an expectation of high attentiveness, i.e., that the receiver will notice and read the message within a few minutes. Hence, existing instant messaging services for mobile phones share indicators of availability, such as the last time the user has been online. However, in this paper we not only provide evidence that these cues create social pressure, but that they are also weak predictors of attentiveness. As remedy, we propose to share a machine-computed prediction of whether the user will view a message within the next few minutes or not. For two weeks, we collected behavioral data from 24 users of mobile instant messaging services. By the means of machine-learning techniques, we identified that simple features extracted from the phone, such as the user's interaction with the notification center, the screen activity, the proximity sensor, and the ringer mode, are strong predictors of how quickly the user will attend to the messages. With seven automatically selected features our model predicts whether a phone user will view a message within a few minutes with 70.6 accuracy and a precision for fast attendance of 81.2
summary: Notifications & Availability On mobile phones, the largest chunk of notifications originate from messaging applications @cite_31 @cite_19 @cite_8 , 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 @cite_18 . On average, notifications from messengers are attended within minutes @cite_26 @cite_36 @cite_35 @cite_12 @cite_8 , and people maintain this levels of attentiveness for large parts of their wake time @cite_36 . Consequently, notification-enabled computed mediated communication plays a crucial role [..] in the fragmentation of the working day @cite_10 . We hypothesize that the absence of notifications will affect the participants' ability to maintain the usual level of attentiveness.