Skip to main content
Log in

Perceptually fluent features of study words do not inflate judgements of learning: evidence from font size, highlights, and Sans Forgetica font type

  • Published:
Metacognition and Learning Aims and scope Submit manuscript

Abstract

Judgments of learning (JOL) are often used to assess memory monitoring at encoding. Participants study a cue-target word pair (e.g., mouse-cheese) and are asked to rate the probability of correctly recalling the target in the presence of the cue at test (e.g., mouse -?). Prior research has shown that JOL accuracy is sensitive to perceptual cues. These cues can produce metamemory illusions in which JOLs overestimate memory, such as the font-size effect (Rhodes & Castel, 2008), which occurs when participants inflate JOLs for pairs presented in large versus small fonts without a concomitant increase to recall. The present study further tests the font-size effect and examines whether other perceptual manipulations can affect the correspondence between JOLs and recall. Experiments 1A and 1B were designed to replicate the font-size effect and test whether the effect extended to highlighted pairs that were related or unrelated in the same study list. Experiment 2A and 2B examined font size and highlighting effects on JOLs using only unrelated pairs. Finally, Experiment 3 tested whether Sans Forgetica—a perceptually disfluent font designed to improve memory—would result in inflated JOLs and/or recall. Large fonts similarly increased both JOLs and recall relative to small fonts, highlights had no effect on JOLs or recall, and Sans Forgetica font yielded a memory cost (though no effect on JOLs). Collectively, perceptually fluent and disfluent study pairs do not appear to inflate JOLs relative to subsequent recall.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

Data availability

Study materials and analyzed data are available via OSF (https://osf.io/3xwdr/). This study was completed as part of the Honors Thesis requirements for Trevor Perry.

References

  • Ball, B. H., Klein, K. N., & Brewer, G. A. (2014). Processing fluency mediates the influence of perceptual information on monitoring learning of educationally relevant materials. Journal of Experimental Psychology: Applied, 20(4), 336.

    Google Scholar 

  • Balota, D. A., Yap, M. J., Hutchison, K. A., Cortese, M. J., Kessler, B., Loftis, B., Neely, J. H., Nelson, D. L., Simpson, G. B., & Treiman, R. (2007). The English lexicon project. Behavior Research Methods, 39(3), 445–459.

    Google Scholar 

  • Besken, M. (2016). Picture-perfect is not perfect for metamemory: Testing the perceptual fluency hypothesis with degraded images. Journal of Experimental Psychology: Learning, Memory, and Cognition, 42(9), 1417.

    Google Scholar 

  • Bjork, R. A. (1994). Memory and metamemory considerations in the training of human beings. In J. Metcalfe & A. Shimamura (Eds.), Metacognition: Knowing about knowing (pp. 185–205).

    Google Scholar 

  • Bjork, E. L., & Bjork, R. A. (2011). Making things hard on yourself, but in a good way: Creating desirable difficulties to enhance learning. Psychology and the real world: Essays illustrating fundamental contributions to society, 2(59–68).

  • Bodner, G. E., Taikh, A., & Fawcett, J. M. (2014). Assessing the costs and benefits of production in recognition. Psychonomic Bulletin & Review, 21(1), 149–154.

    Google Scholar 

  • Brysbaert, M., & New, B. (2009). Moving beyond Kučera and Francis: A critical evaluation of current word frequency norms and the introduction of a new and improved word frequency measure for American English. Behavior Research Methods, 41, 977–990.

    Google Scholar 

  • Castel, A. D., McCabe, D. P., & Roediger, H. L. (2007). Illusions of competence and overestimation of associative memory for identical items: Evidence from judgments of learning. Psychonomic Bulletin & Review, 14(1), 107–111.

    Google Scholar 

  • Earp, J. (2018). Q&A: Designing a font to help students remember key information.

  • Eskenazi, M. A., & Nix, B. (2021). Individual differences in the desirable difficulty effect during lexical acquisition. Journal of Experimental Psychology: Learning, Memory, and Cognition, 47(1), 45–52.

    Google Scholar 

  • Fowler, R. L., & Barker, A. S. (1974). Effectiveness of highlighting for retention of text material. Journal of Applied Psychology, 59(3), 358.

    Google Scholar 

  • Garcia, M. & Kornell, N. (2015). Collector [computer software]. Retrieved from https://github.com/gikeymarica/Collector. Accessed 3 April 2020.

  • Geller, J., Davis, S. D., & Peterson, D. J. (2020). Sans forgetica is not desirable for learning. Memory, 28(8), 957–967.

    Google Scholar 

  • Halamish, V., Nachman, H., & Katzir, T. (2018). The effect of font size on children’s memory and metamemory. Frontiers in Psychology, 9, 1577.

    Google Scholar 

  • Hanczakowski, M., Zawadzka, K., Pasek, T., & Higham, P. A. (2013). Calibration of metacognitive judgments: Insights from the underconfidence-with-practice effect. Journal of Memory and Language, 69(3), 429–444. https://doi.org/10.1016/j.jml.2013.05.003

    Article  Google Scholar 

  • Hu, X., Li, T., Zheng, J., Su, N., Liu, Z., & Luo, L. (2015). How much do metamemory beliefs contribute to the font-size effect in judgments of learning? PLoS One, 10(11), e0142351.

    Google Scholar 

  • Huff, M. J., Bodner, G. E., & Gretz, M. R. (2021). Distinctive encoding of a subset of DRM lists yields not only benefits, but also costs and spillovers. Psychological Research, 85, 280–290.

    Google Scholar 

  • Jemstedt, A., Schwartz, B. L., & Jönsson, F. U. (2018). Ease-of-learning judgments are based on both processing fluency and beliefs. Memory, 26(6), 807–815.

    Google Scholar 

  • Koriat, A., & Bjork, R. A. (2005). Illusions of competence in monitoring one’s knowledge during study. Journal of Experimental Psychology: Learning, Memory, and Cognition, 31(2), 187–194.

    Google Scholar 

  • Kornell, N., Rhodes, M. G., Castel, A. D., & Tauber, S. K. (2011). The ease-of-processing heuristic and the stability bias: Dissociating memory, memory beliefs, and memory judgments. Psychological Science, 22(6), 787–794.

    Google Scholar 

  • Maddox, G. B. (2016). Understanding the underlying mechanism of the spacing effect in verbal learning: A case for encoding variability and study-phase retrieval. Journal of Cognitive Psychology, 28(6), 684–706.

    Google Scholar 

  • Masson, M. E. (2011). A tutorial on a practical Bayesian alternative to null-hypothesis significance testing. Behavior Research Methods, 43(3), 679–690.

    Google Scholar 

  • Maxwell, N. P., & Huff, M. J. (2021). The deceptive nature of associative word pairs: Effects of associative direction on judgments of learning. Psychological Research, 85(4), 1757–1775.

    Google Scholar 

  • McDaniel, M. A., & Butler, A. C. (2010). A contextual framework for understanding when difficulties are desirable. In A. S. Benjamin (Ed.), Successful remembering and successful forgetting: A Festschrift in honor of Robert a. Bjork (pp. 175–198). Psychology Press.

    Google Scholar 

  • Miele, D. B., Finn, B., & Molden, D. C. (2011). Does easily learned mean easily remembered?: It depends on your beliefs about intelligence. Psychological Science, 22(3), 320–324.

    Google Scholar 

  • Mueller, M. L., Dunlosky, J., Tauber, S. K., & Rhodes, M. G. (2014). The font-size effect on judgments of learning: Does it exemplify fluency effects or reflect people’s beliefs about memory? Journal of Memory and Language, 70, 1–12.

    Google Scholar 

  • Nelson, T. O., & Dunlosky, J. (1991). When people’s judgments of learning (JOLs) are extremely accurate at predicting subsequent recall: The delayed-JOL effect. Psychological Science, 2, 267–270.

    Google Scholar 

  • Nelson, T. O., & Narens, L. (1990). Metamemory: A theoretical framework and new findings. Psychology of Learning and Motivation, 26, 125–173.

    Google Scholar 

  • Nelson, D. L., McEvoy, C. L., & Schreiber, T. A. (2004). The University of South Florida free association, rhyme, and word fragment norms. Behavior Research Methods, Instruments, & Computers, 36(3), 402–407.

    Google Scholar 

  • Price, J., & Harrison, A. (2017). Examining what prestudy and immediate judgments of learning reveal about the bases of metamemory judgments. Journal of Memory and Language, 94, 177–194.

    Google Scholar 

  • Price, J., McElroy, K., & Martin, N. J. (2016). The role of font size and font style in younger and older adults’ predicted and actual recall performance. Aging, Neuropsychology, and Cognition, 23(3), 366–388.

    Google Scholar 

  • Reber, R., & Schwarz, N. (1999). Effects of perceptual fluency on judgments of truth. Consciousness and Cognition, 8(3), 338–342.

    Google Scholar 

  • Reber, R., Winkielman, P., & Schwarz, N. (1998). Effects of perceptual fluency on affective judgments. Psychological Science, 9(1), 45–48.

    Google Scholar 

  • Rhodes, M. G., & Castel, A. D. (2008). Memory predictions are influenced by perceptual information: Evidence for metacognitive illusions. Journal of Experimental Psychology: General, 137(4), 615–625.

    Google Scholar 

  • Rowland, C. A. (2014). The effect of testing versus restudy on retention: A meta-analytic review of the testing effect. Psychological Bulletin, 140(6), 1432.

    Google Scholar 

  • Schwarz, N. (2004). Metacognitive experiences in consumer judgment and decision making. Journal of Consumer Psychology, 14(4), 332–348.

    Google Scholar 

  • Slamecka, N. J., & Graf, P. (1978). The generation effect: Delineation of a phenomenon. Journal of Experimental Psychology: Human Learning and Memory, 4(6), 592–604.

    Google Scholar 

  • Soderstrom, N. C., Clark, C. T., Halamish, V., & Bjork, E. L. (2015). Judgments of learning as memory modifiers. Journal of Experimental Psychology: Learning, Memory, and Cognition, 41(2), 553–558.

    Google Scholar 

  • Su, N., Tongtong, L., Zheng, J., Hu, X., Fan, T., & Luo, L. (2018). How font size affects judgments of learning: Simultaneous mediating effect of item-specific beliefs about fluency and moderating effect of beliefs about font size and memory. PLoS One, 13, e0200888:1–e020088814.

    Google Scholar 

  • Sungkhassettee, V. W., Friedman, M. C., & Castel, A. D. (2011). Memory and metamemory for inverted words: Illusions of competency and desirable difficulties. Psychonomic Bulletin & Review, 18, 973–978.

    Google Scholar 

  • Susser, J. A., Mulligan, N. W., & Besken, M. (2013). The effects of list composition and perceptual fluency on judgments of learning (JOLs). Memory & Cognition, 41, 1000–1011.

    Google Scholar 

  • Taylor, A., Sanson, M., Burnell, R., Wade, K. A., & Garry, M. (2020). Disfluent difficulties are not desirable difficulties: The (lack of) effect of sans Forgetica on memory. Memory, 28(7), 850–857.

    Google Scholar 

  • Undorf, M., Zimdahl, M. F., & Bernstein, D. M. (2017). Perceptual fluency contributes to effects of stimulus size on judgments of learning. Journal of Memory and Language, 92, 293–304.

    Google Scholar 

  • Wagenmakers, E. (2007). A practical solution to the pervasive problems of p values. Psychonomic Bulletin & Review, 14(5), 779–804.

    Google Scholar 

  • Wehr, T., & Wippich, W. (2004). Typography and color: Effects of salience and fluency on conscious recollective experience. Psychological Research, 69, 138–146.

    Google Scholar 

  • Yang, C., Huang, T. S. T., & Shanks, D. R. (2018). Perceptual fluency affects judgments of learning: The font size effect. Journal of Memory and Language, 99, 99–110.

    Google Scholar 

  • Yue, C. L., Storm, B. C., Kornell, N., & Bjork, E. L. (2015). Highlighting and its relation to distributed study and students’ metacognitive beliefs. Educational Psychology Review, 27(1), 69–78.

    Google Scholar 

Download references

Funding

There is no funding source.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mark J. Huff.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Ethical approval

All experiments reported were approved by the authors institutional review board.

Informed consent

Informed consent was obtained from all individual participants included in the study.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

ESM 1

(PDF 247 kb)

Appendix

Appendix

Table 1 Demographic information for participants in each encoding group in Experiments 1, 2, and 3
Table 2 Mean associative strength summary statistics forward, backward, and symmetrical pairs in Experiment 1A and 1B
Table 3 Summary statistics for cue and target concreteness, length, and frequency item properties as a function of pair type in Experiments 1A and 1B
Table 4 Mean (± 95% CI) JOL ratings and correct recall percentages as a function of associative direction (forward, backward, symmetrical, and unrelated) for the control, highlight, and font size groups in Experiments 1A and 1B
Table 5 Mean (± 95% CI) Goodman-Kruskal Gamma correlations between JOLs and Recall for each pair type/encoding group as a function of associative direction in Experiments 1A and 1B and for unrelated pairs in Experiments 2A, 2B, and 3
Table 6 Summary statistics for cue and target concreteness, length, and frequency item properties for unrelated pairs in Experiments 2A, 2B, and 3
Table 7 Mean (± 95% CI) JOL ratings and correct recall percentages for the control, highlight, and font size groups in Experiments 2A and 2B
Table 8 Mean (± 95% CI) JOL ratings and correct recall percentages for the control, and Sans Forgetica groups in Experiment 3

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Maxwell, N.P., Perry, T. & Huff, M.J. Perceptually fluent features of study words do not inflate judgements of learning: evidence from font size, highlights, and Sans Forgetica font type. Metacognition Learning 17, 293–319 (2022). https://doi.org/10.1007/s11409-021-09284-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11409-021-09284-6

Keywords

Navigation