قالب وردپرس درنا توس
Home / Health / Memory failure predicted by attention drop and media multitasking

Memory failure predicted by attention drop and media multitasking



  • 1.

    Harris (Harris, T). “Optimizing participation: understanding the use of persuasion technology on the Internet platform.” Testimony on behalf of the Humane Technology Center. https://www.commerce.senate.gov/2019/6/optimizing-for-engagement-understanding-the-use-of-persuasive-technology-on-internet-platforms (US Senate Committee on Commerce, Science and Transportation; 201

    9 June 25th).

  • 2.

    Baddeley, A., Lewis, V., Eldridge, M. & Thomson, N. Attention and retrieval from long-term memory. J. Exp. Psychol.root. 113, 518–540 (1984).

    Article Google Scholar

  • 3.

    Craik, FI, Govoni, R., Naveh-Benjamin, M. & Anderson, ND The effect of distraction on the encoding and retrieval process in human memory. J. Exp. Psychol.root. 125, 159-180 (1996).

    CAS articles Google Scholar

  • 4.

    Anderson, MC and Spellman, Bachelor of Arts on the status of inhibitory mechanisms in cognition: memory retrieval as an example. Psychol.Rotating speed. 102, 68-100 (1995).

    CAS articles Google Scholar

  • 5.

    Evans, LH and Herron, JE retrieve the event-related potentials before the retrieval can predict the source memory during task switching. Neuroimaging 194, 174-181 (2019).

    Article Google Scholar

  • 6.

    Curran, T. The effect of attention and confidence on the relationship between hypothetical ERP recall and familiarity. Neuropsychological diseases 42, 1088–1106 (2004).

    Article Google Scholar

  • 7

    W. Klimesch, alpha band vibration, attention and controlled access to stored information. Trending Cognitive Science. 16, 606-617 (2012).

    Article Google Scholar

  • 8.

    Hanslmayr, S., Staudigl, T. & Fellner, MC has reduced oscillation power and has long-term memory capabilities: information obtained through the hypothesis of asynchrony. before. Humph.Neuroscience. 6, 74 (2012).

    Article Google Scholar

  • 9.

    Jin, CY, Borst, JP, and van Vugt, MK predicted wandering in general thinking about the task of EEG. Brother influence. behavior.Neuroscience. 19, 1059–1073 (2019).

    Article Google Scholar

  • 10.

    Unsworth, N. & Robison, MK. The importance of arousal for changes in working memory and attention control: a study of latent pupillometry. J. Exp. Psychol. Learn.Um Conger. 43, 1962–1987 (2017).

    Article Google Scholar

  • 11.

    Unsworth, N. and Robison, MK pupils are associated with the passage of sustained attention. Brother influence. behavior.Neuroscience. 16, 601–615 (2016).

    Article Google Scholar

  • 12

    Konishi, M., Brown, K., Battaglini, L. & Smallwood, J. When attention is weakened: the photometric characteristics of external attention fluctuations. understanding 168, 16–26 (2017).

    Article Google Scholar

  • 13

    Fortenbaugh, FC, DeGutis, J. And Esterman, M. Continue to pay attention to the latest theoretical, neurological and clinical developments in research. Ann New York College of Science. 1396, 70-91 (2017).

    ADS articles Google Scholar

  • 14.

    N. Unsworth, Individual differences in long-term memory. Psychol.bull. 145, 79–139 (2019).

    Article Google Scholar

  • 15

    Kahana, MJ, Aggarwal, EV & Phan, TD The variability problem in human memory. J. Exp. Psychol. Learn.Um Conger. 44, 1857–1863 (2018).

    Article Google Scholar

  • 16.

    Uncapher, MR and Wagner, the mind and mind of AD media multitaskers: current discoveries and future directions. The process Natl Acad.Science America 115, 9889–9896 (2018).

    CAS Articles Google Scholar

  • 17.

    Ralph, BCW, Thomson, DR, Seli, P., Carriere, JS and Smilek, D. Media multitasking and continuous attention behavior. Ten o’clock.Perceptual mind. 77, 390–401 (2015).

    Article Google Scholar

  • 18 years old

    Uncapher, MR, K Thieu, M. And Wagner, AD Media multitasking and memory: the difference between working memory and long-term memory. Psychon. bull.Rotating speed. twenty three, 483–490 (2016).

    Article Google Scholar

  • 19

    Baumgartner (Baumgartner, SE), Van der Schuur, Washington, Lemmens, JS and te Poel, F. Hmm common.Reservoir. 44, 3-30 (2018).

    Article Google Scholar

  • 20

    Macdonald, JSP, Mathan, S. & Yeung, N. The successive trial changes of the subjective attention state are reflected in the alpha vibration of the EEG before continuous stimulation. before. Psychol. 2, 82 (2011).

    Article Google Scholar

  • twenty one

    Unsworth of North Carolina and Robison of MK used pupillometry to track wakefulness and thought drift. Brother influence. behavior.Neuroscience. 18638-664 (2018).

    Article Google Scholar

  • twenty two

    Dobbins, IG and Wagner, general and domain-specific prefrontal mechanisms in AD are used to recollect events and detect novelty. Sereb leather 29, 150–166 (2005).

    Google Scholar

  • twenty three.

    Esterman, M., Noonan, SK, Rosenberg, M. & Degutis, J. Are they regional or subregional? Track behavior and neurological fluctuations in the process of continuous attention. Sereb leather twenty three, 2712-1723 (2013).

    Article Google Scholar

  • twenty four

    Ophir, E., Nass, and C. Wagner, Cognitive control in AD media multitasking programs. The process Natl Acad.Science America 106, 15583–15587 (2009).

    ADS CAS Article Google Scholar

  • 25 years old

    Ralph, BCW, Thomson, DR, Cheyne, JA and Smilek, D. Media multitasking and attention failure in daily life. Psychol.Reservoir. 78, 661–669 (2014).

    Article Google Scholar

  • 26

    Jeron and Evans, LH Preparation succeeded: brain activity predicts memory. Cortex 106, 1-11 (2018).

    Article Google Scholar

  • 27.

    Forstmann, BU, Ridderinkhof, KR, Kaiser, J. And Bledowski, C. At your own risk: An ERP study of the voluntary task set selection process in the medial frontal cortex. Brother influence. behavior.Neuroscience. 7, 286-296 (2007).

    Article Google Scholar

  • 28 years old

    Rugg, MD and Curran, T. Potentials associated with events and recognition memory. Trending Cognitive Science. 11, 251-257 (2007).

    Article Google Scholar

  • 29.

    Ra, CK, etc. Digital media use is associated with subsequent symptoms of attention deficit/hyperactivity disorder in adolescents. J. Asoke in the morning. 320255-263 (2018).

    Article Google Scholar

  • 30 years old

    Hanslmayr, S. Wait. The relationship between concussion and BOLD signal during memory formation: EEG-fMRI combined study. Journal of Neuroscience. 31, 15674–15680 (2011).

    CAS articles Google Scholar

  • 31.

    Kessler, RC, etc. The World Health Organization Adult ADHD Adult Self-Report Scale (ASRS): a short screening scale for the general population. Psychol.use. 35, 245-256 (2005).

    Article Google Scholar

  • 32.

    Patton, JH, Stanford, MS and Barratt, ES The factor structure of the Barratt Impulse Scale. J. Clinical Psychol. 51, 768-774 (1995).

    CAS articles Google Scholar

  • 33.

    Green, CS and Bavelier, D. The experience of an action video game changes the spatial resolution of vision. Psychol.science. 18, 88-94 (2007).

    CAS articles Google Scholar

  • 34.

    Carriere, JSA, Seli, P. And Smilek, D. Wandering in mind and body: Individual differences in wandering and inattention are indicative of irritability. were able. J. Exp. Psychol. 67, 19-31 (2013).

    Article Google Scholar

  • 35 years old

    Carriere, JSA, Cheyne, JA and Smilek, D. Daily attention loss and memory failure: blind emotional consequences. awareness.Conger. 17, 835–847 (2008).

    Article Google Scholar

  • 36.

    DH Brainard, psychophysics toolbox. Spar dream. 10, 433-436 (1997).

    CAS articles Google Scholar

  • 37.

    Willenbockel, V. Wait. Control low-level image attributes: SHINE toolbox. behavior. Res.method 42, 671-684 (2010).

    Article Google Scholar

  • 38.

    In Unsworth, Robison, MK and Miller in the north, AL pupils are associated with fluctuations in sustained attention. J. Cohen Neuroscience. 30, 1241–1253 (2018).

    Article Google Scholar

  • 39.

    Delorme, A. and Makeig, S. EEGLAB: An open source toolbox for analyzing EEG kinetics in a single experiment, including independent component analysis. J. Neuroscience.method 134, 9-21 (2004).

    Article Google Scholar

  • 40

    Green, DM and Swets, JA Signal detection theory and psychophysics (Wiley, 1966).

  • 41.

    Kleifges, K., Bigdely-Shamlo, N., Kerick, SE & Robbins, KA BLINKER: Automatically extract eye index from EEG for large-scale analysis. before.Neuroscience. 11, 12 (2017).

    Article Google Scholar

  • 42.

    The expansion of Goldinger, SD and Papesh, MH students reflects the creation and retrieval of memories. Curr. Mr. Psychol.science. twenty one, 90–95 (2012).

    Article Google Scholar

  • 43.

    Otero, SC, Weekes, BS and Hutton, SB will change the size of students during the recognition and memory period. Psychophysiology 48, 1346–1353 (2011).

    Article Google Scholar

  • 44.

    Võ, ML-H. Wait. The coupling of emotion and cognition in the eyes: introduce the old/new effects of pupils. Psychophysiology 45, 130–140 (2008).

    Article Google Scholar

  • 45.

    Hong, L., Walz, JM, and Sajda, P. Your eyes discourage you: the stimulus changes in pupil diameter are related to the task-related EEG dynamics after stimulation. First prize 9, E91321 (2014).

    ADS articles Google Scholar

  • 46.

    Rosenberg, M., Noonan, S., DeGutis, J., and Esterman, M. Maintaining visual attention without distraction: a novel progressive continuous performance task. Ten o’clock.Perceptual mind. 75, 426-439 (2013).

    Article Google Scholar

  • 47.

    Madore, KP predicts memory failures through attention drop and media multitasking (data set and analysis code). https://osf.io/zj7tb (Open Science Framework, 2020).

  • 48.

    Madore, KP predicts memory failure through attention drop and media multitasking (data set). https://doi.org/10.15154/1519022 (National Institute of Mental Health Data Archives, 2020).


  • Source link