Habits make smartphone use more pervasive

By Antti Oulasvirta, Tye Rattenbury, Lingyi Ma, Eeva Raita. Personal and Ubiquitous Computing, 2011

1,224 citations recorded by the source corpus.

Subfields: Information Systems and Management, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/edce27149c6f30b54a06d4db37e84edb2e6d9e63

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Citations in the corpus

Embodiment of Wearable Augmented Reality Technology in Tourism Experiences (2018, background): “As many continuously embrace the latest personal devices with excitement (Consumer Electronics Association 2015) and make necessary adjustments to assimilate these devices into their everyday routines (ComScore 2011; Nielsen 2014; Oulasvirta et al. 2012), ICTs become integral to everyday experiences”
An in-situ study of mobile phone notifications (2014, background): “This could be an indicator that our participants, despite enabling silent mode, still frequently check their phone [24], adhering to the “rule” of immediacy [17].”
Non-social features of smartphone use are most related to depression, anxiety and problematic smartphone use (2017, background): “UGT does not explain, however, the phenomenon of why some people's increased smartphone use frequency leads to addiction/ problematic use (Oulasvirta et al., 2012; van Deursen et al., 2015), while others use smartphones productively.”
Brain Drain: The Mere Presence of One’s Own Smartphone Reduces Available Cognitive Capacity (2017, neutral): “Prior research provides ample evidence that individuals spontaneously attend to their phones at inopportune times (e.g., Oulasvirta et al. 2011), and that this digital distraction adversely affects both performance (End et al. 2009) and en-joyment (Isikman et al. 2016).”
Beyond Self-Report: Tools to Compare Estimated and Real-World Smartphone Use (2015, result): “The quantity of short checking behaviours we observed are comparable with those found by Oulasvirta and colleagues [24], who collected data in 2009.”
Mental Health Smartphone Apps: Review and Evidence-Based Recommendations for Future Developments (2016, neutral): “Average users check their phones as often as 150 times a day [2], which reflects how smartphone apps can generate, reward, and maintain strong habits involving their use [3,4].”
Validity and reliability of the Turkish version of the Smartphone Addiction Scale-Short Version among university students (2015, neutral): “Bireylere haz veren davranışlar, davranışlar sürerek alışkanlık durumuna gelmesine neden olmaktadır.(4,7) Bu nedenle alışkanlık duruma gelmiş olan bir davranışı bağımlılık davranışı olarak değerlendirmede çok dikkatli olunması gerekmektedir.”
Proneness to Boredom Mediates Relationships Between Problematic Smartphone Use With Depression and Anxiety Severity (2018, background): “The smartphone is typically easily accessible, which in a reaction to boredom may be used actively, or reactively and habitually in response to observing phone push notifications (Oulasvirta et al., 2012).”
Modeling habitual and addictive smartphone behavior: The role of smartphone usage types, emotional intelligence, social stress, self-regulation, age, and gender (2015, background): “Smartphones have the potential to produce new habits related to Internet use, for example, automatic actions in which the smartphone is unlocked to check the start screen for notifications (Oulasvirta et al., 2011).”
The “online brain”: how the Internet may be changing our cognition (2019, background): “Furthermore, even when not using the Internet for any spe 18 formation rewards” that are received immediately on checking the device 19 , potentially engaging the corticostriatal dopa minergic system due to their readily available nature 20 .”
Large-scale assessment of mobile notifications (2014, background): “Sometimes, people even seem to be eager to receive notifications, as they keep frequently checking the phone [18].”