Literature DB >> 26121498

The attentional cost of receiving a cell phone notification.

Cary Stothart1, Ainsley Mitchum1, Courtney Yehnert1.   

Abstract

It is well documented that interacting with a mobile phone is associated with poorer performance on concurrently performed tasks because limited attentional resources must be shared between tasks. However, mobile phones generate auditory or tactile notifications to alert users of incoming calls and messages. Although these notifications are generally short in duration, they can prompt task-irrelevant thoughts, or mind wandering, which has been shown to damage task performance. We found that cellular phone notifications alone significantly disrupted performance on an attention-demanding task, even when participants did not directly interact with a mobile device during the task. The magnitude of observed distraction effects was comparable in magnitude to those seen when users actively used a mobile phone, either for voice calls or text messaging. (c) 2015 APA, all rights reserved).

Entities:  

Mesh:

Year:  2015        PMID: 26121498     DOI: 10.1037/xhp0000100

Source DB:  PubMed          Journal:  J Exp Psychol Hum Percept Perform        ISSN: 0096-1523            Impact factor:   3.332


  23 in total

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2.  Citizens Versus the Internet: Confronting Digital Challenges With Cognitive Tools.

Authors:  Anastasia Kozyreva; Stephan Lewandowsky; Ralph Hertwig
Journal:  Psychol Sci Public Interest       Date:  2020-12

Review 3.  The Many Channels of Screen Media Technology in ADHD: a Paradigm for Quantifying Distinct Risks and Potential Benefits.

Authors:  Matthew M Engelhard; Scott H Kollins
Journal:  Curr Psychiatry Rep       Date:  2019-08-13       Impact factor: 5.285

4.  What Has the Study of Digital Games Contributed to the Science of Expert Behavior?

Authors:  Neil Charness
Journal:  Top Cogn Sci       Date:  2017-02-07

5.  Psychometric Properties of the Smartphone Distraction Scale in Chinese College Students: Validity, Reliability and Influencing Factors.

Authors:  Xueyang Zhao; Ting Hu; Guiyuan Qiao; Chaoyang Li; Man Wu; Fen Yang; Jing Zhou
Journal:  Front Psychiatry       Date:  2022-06-16       Impact factor: 5.435

6.  The effect of distraction on change detection in crowded acoustic scenes.

Authors:  Theofilos Petsas; Jemma Harrison; Makio Kashino; Shigeto Furukawa; Maria Chait
Journal:  Hear Res       Date:  2016-09-02       Impact factor: 3.208

7.  Testing modes of computerized sepsis alert notification delivery systems.

Authors:  Mikhail A Dziadzko; Andrew M Harrison; Ing C Tiong; Brian W Pickering; Pablo Moreno Franco; Vitaly Herasevich
Journal:  BMC Med Inform Decis Mak       Date:  2016-12-09       Impact factor: 2.796

Review 8.  Driver Distraction Using Visual-Based Sensors and Algorithms.

Authors:  Alberto Fernández; Rubén Usamentiaga; Juan Luis Carús; Rubén Casado
Journal:  Sensors (Basel)       Date:  2016-10-28       Impact factor: 3.576

9.  The reciprocal relationships between social media self-control failure, mindfulness and wellbeing: A longitudinal study.

Authors:  Jie Du; Peter Kerkhof; Guido M van Koningsbruggen
Journal:  PLoS One       Date:  2021-08-04       Impact factor: 3.240

10.  Fatigue, boredom and objectively measured smartphone use at work.

Authors:  Jonas Dora; Madelon van Hooff; Sabine Geurts; Michiel Kompier; Erik Bijleveld
Journal:  R Soc Open Sci       Date:  2021-07-07       Impact factor: 2.963

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