Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2023 Nov 23;13(1):20574.
doi: 10.1038/s41598-023-46048-5.

Comparing attentional disengagement between Prolific and MTurk samples

Affiliations

Comparing attentional disengagement between Prolific and MTurk samples

Derek A Albert et al. Sci Rep. .

Abstract

Attention often disengages from primary tasks in favor of secondary tasks (i.e., multitasking) and task-unrelated thoughts (i.e., mind wandering). We assessed whether attentional disengagement, in the context of a cognitive task, can substantially differ between samples from commonly used online participant recruitment platforms, Prolific and Mechanical Turk (MTurk). Initially, eighty participants were recruited through Prolific to perform an attention task in which the risk of losing points for errors was varied (high risk = 80% chance of loss, low risk = 20% chance of loss). Attentional disengagement was measured via task performance along with self-reported mind wandering and multitasking. On Prolific, we observed surprisingly low levels of disengagement. We then conducted the same experiment on MTurk. Strikingly, MTurk participants exhibited more disengagement than Prolific participants. There was also an interaction between risk and platform, with the high-risk group exhibiting less disengagement, in terms of better task performance, than the low-risk group, but only on MTurk. Platform differences in individual traits related to disengagement and relations among study variables were also observed. Platform differences persisted, but were smaller, after increasing MTurk reputation criteria and remuneration in a second experiment. Therefore, recruitment platform and recruitment criteria could impact results related to attentional disengagement.

PubMed Disclaimer

Conflict of interest statement

The authors declare no competing interests.

Figures

Figure 1
Figure 1
Attention task with performance feedback and risk manipulation. There were two to six non-target displays before a target display. There was a 20% chance of a mind wandering probe preceding performance feedback. The “x” on the line between the probe and bottom right performance feedback displays represents the chance of participants losing points for an incorrect response. The “100%-x” on the line between the probe and bottom left performance feedback displays represents the chance of not losing points for an incorrect response.
Figure 2
Figure 2
Flow of participants through E1 and E2 by platform. Participants were randomized upon loading the task instructions screen. Participants that reported an age greater than 35 years in the demographics questionnaire were excluded from analyses.
Figure 3
Figure 3
Accuracy, mind wandering, and risk perception by risk condition, recruitment platform, and experiment. Accuracy reflects the percentage of targets to which participants responded correctly. Mind wandering reflects the percentage of thought probes to which participants indicated off-task thoughts. Risk perception reflects participant estimates of the chance that task errors led to point loss. Actual chances were: 20% in the low-risk condition; and 80% in the high-risk condition. Points reflect raw means and error bars reflect 95% confidence intervals.
Figure 4
Figure 4
Self-reported rate and impact of multitasking by recruitment platform and experiment. Multitasking was assessed by asking participants, “While completing this study, were you engaged in any media-related activities outside of the contents of the experiment?” Response options included: (1) “Yes”; (2) “No, I was not engaged in any activities outside of the contents of this study”; and (3) “No, but I was engaged in other, media-unrelated activities while completing this study.” If participants selected options 1 (media-related multitasking) or 3 (media-unrelated multitasking), they were asked to what extent the other activities: (a) consumed attention; and (b) affected performance. Participants were assured that they would not be penalized for responding one way or another.
Figure 5
Figure 5
Correlations between individual traits, task performance, mind wandering, and risk perception for Prolific (upper triangles) and MTurk (lower triangles) by experiment. Acc = accuracy (percentage of correct responses to targets), ARCES = Attention-Related Cognitive Errors Scale, BSSS = Brief Sensation Seeking Scale, MAAS = Mindful Awareness of Attention Scale, MW = mind wandering (percentage of off-task reports to thought probes), WCFS = Workplace Cognitive Failures Scale, Risk = risk perception (perception of the risk of losing points for task errors). Results are collapsed across low-risk and high-risk conditions. Coefficients were generated with Spearman’s rank-order method. *p < .05, **p < .01, ***p < .001.

References

    1. Ralph BCW, Wammes JD, Barr N, Smilek D. Wandering minds and wavering goals: Examining the relation between mind wandering and grit in everyday life and the classroom. Can. J. Exp. Psychol. Rev. Can. Psychol. Exp. 2017;71:120–132. doi: 10.1037/cep0000116. - DOI - PubMed
    1. Robison MK, Gath KI, Unsworth N. The neurotic wandering mind: An individual differences investigation of neuroticism, mind-wandering, and executive control. Q. J. Exp. Psychol. 2017;70:649–663. doi: 10.1080/17470218.2016.1145706. - DOI - PubMed
    1. Moran CN, et al. Young and restless, old and focused: Age-differences in mind-wandering frequency and phenomenology. Psychol. Aging. 2021;36:252. doi: 10.1037/pag0000526. - DOI - PubMed
    1. Seli P, et al. Mind-wandering across the age gap: Age-related differences in mind-wandering are partially attributable to age-related differences in motivation. J. Gerontol. Ser. B. 2021;76:1264–1271. doi: 10.1093/geronb/gbaa031. - DOI - PMC - PubMed
    1. Brosowsky NP, Murray S, Schooler JW, Seli P. Thought dynamics under task demands: Evaluating the influence of task difficulty on unconstrained thought. J. Exp. Psychol. Hum. Percept. Perform. 2021;47:1298–1312. doi: 10.1037/xhp0000944. - DOI - PubMed