Effects of Contextual Cues on False Memory: A Comparative Experimental Approach
Bibliographic record
Abstract
Research on false memory formation using the Deese-Roediger-McDermott (DRM) paradigm has been extensively conducted in Western contexts. Yet, a significant gap remains in experimental investigations within South Asian populations, particularly in Pakistan. Existing studies, such as those on the Visual Mandela Effect, have explored collective false memories; however, they lack controlled experimental manipulation of contextual variables. To address this gap, the study examined the impact of contextual cues, both visual and auditory, and the effect of no contextual cues, on false memory formation. Sixty participants (aged 18–40) were randomly assigned to one of three groups: Visual and Auditory Cues, Visual Cues only, and Word List only. Each group was presented with three semantically themed DRM word lists across three recall blocks. A between-subjects one-way ANOVA revealed statistically significant differences in the recall of critical lures across groups, with the highest false memory incidence observed in the combined cue condition, [F (2,57) = 14.505, p < .001, η² = .337]. Post hoc analyses further confirmed that exposure to multimodal cues significantly increased susceptibility to false memories compared to the control condition. However, a repeated-measures of ANOVA indicated no significant change in critical lure recall across the three blocks within groups. Additionally, the control group demonstrated higher accurate recall and lower intrusion rates. These findings underscore the role of sensory contextual cues in modulating memory distortion and contribute novel cross-cultural evidence to the literature on memory and cognition. The study holds implications for legal, clinical, and educational settings where memory accuracy is critical. References Ahmed, W., Imtiaz, K., Muzammil, M., & Khan, S. M. (2025). Leadership Outcomes through the Lens of Workplace Spirituality and Character Development. Inverge Journal of Social Sciences, 4(4), 17–30. https://doi.org/10.63544/ijss.v4i4.176 Akdoğan, M., Akırmak, Ü., & Gürsoy, İ. (2021). Summary an examination of the false memory rates of Turkish words with the Deese-Roediger-McDermott (DRM) paradigm. Alakbarova, D., Hicks, J. L., & Ball, B. H. (2021). The influence of semantic context on false memories. Memory & Cognition, 49(8), 1555–1567. https://doi.org/10.3758/s13421-021-01182-1 Anglada-Tort, M., Baker, T., & Müllensiefen, D. (2018). False memories in music listening: Exploring the misinformation effect and individual difference factors in auditory memory. Memory, 27(5), 612–627. https://doi.org/10.1080/09658211.2018.1545858 Arndt, J. (2010). The role of memory activation in creating false memories of encoding context. Journal of Experimental Psychology: Learning, Memory, and Cognition, 36(1), 66–79. https://doi.org/10.1037/a0017394 Atilgan, H., Town, S. M., Wood, K. C., Jones, G. P., Maddox, R. K., Lee, A. K. C., & Bizley, J. K. (2018). Integration of visual information in auditory cortex promotes auditory scene analysis through multisensory binding. Neuron, 97(3), 640–655.e4. https://doi.org/10.1016/j.neuron.2017.12.034 Baddeley, A. (2000). The episodic buffer: A new component of working memory? Trends in Cognitive Sciences, 4(11), 417–423. https://doi.org/10.1016/S1364-6613(00)01538-2 Brainerd, C. J., & Reyna, V. F. (Eds.). (2005). The science of false memory. Oxford University Press. https://doi.org/10.1093/acprof:oso/9780195154054.001.0001 Brainerd, C. J., Reyna, V. F., & Ceci, S. J. (2008). Developmental reversals in false memory: A review of data and theory. Psychological Bulletin, 134(3), 343–382. https://doi.org/10.1037/0033-2909.134.3.343 Brockmole, J. R., Castelhano, M. S., & Henderson, J. M. (2006). Contextual cueing in naturalistic scenes: Global and local contexts. Journal of Experimental Psychology: Learning, Memory, and Cognition, 32(4), 699–706. https://doi.org/10.1037/0278-7393.32.4.699 Burgess, N., & Hitch, G. (2005). Computational models of working memory: Putting long-term memory into context. Trends in Cognitive Sciences, 9(11), 535–541. https://doi.org/10.1016/j.tics.2005.09.011 Cabeza, R., Rao, S. M., Wagner, A. D., Mayer, A. R., & Schacter, D. L. (2001). Can medial temporal lobe regions distinguish true from false? An event-related functional MRI study of veridical and illusory recognition memory. Proceedings of the National Academy of Sciences, 98(8), 4805–4810. https://doi.org/10.1073/pnas.081082698 Campbell, J. M., Edwards, M. S., Horswill, M. S., & Helman, S. (2007). Effects of contextual cues in recall and recognition memory: The misinformation effect reconsidered. British Journal of Psychology, 98(3), 485–498. https://doi.org/10.1348/000712606x160768 Chen, J. C., Li, W., Westerberg, C. E., & Tzeng, O. J. (2008). Test-item sequence affects false memory formation: An event-related potential study. Neuroscience Letters, 431(1), 51–56. https://doi.org/10.1016/j.neulet.2007.11.020 Chun, M. M., & Jiang, Y. (1998a). Contextual cueing: Implicit learning and memory of visual context guides spatial attention. Cognitive Psychology, 36(1), 28–71. https://doi.org/10.1006/cogp.1998.0681 Chun, M. M., & Jiang, Y. (1998b). Contextual cueing: Implicit learning and memory of visual context guides spatial attention. Cognitive Psychology, 36(1), 28–71. https://doi.org/10.1006/cogp.1998.0681 Craik, F. I. M., & Schloerscheidt, A. M. (2011). Age-related differences in recognition memory: Effects of materials and context change. Psychology and Aging, 26(3), 671–677. https://doi.org/10.1037/a0022203 Deese, J. (1959). On the prediction of occurrence of particular verbal intrusions in immediate recall. Journal of Experimental Psychology, 58(1), 17–22. https://doi.org/10.1037/h0046671 Faizan, M., Yousaf, A., & Khan, S. M. (2025). Psychological Contract Breach and Its Consequences on Employee Turnover Intentions, Job Satisfaction, and Organizational Commitment: Insights from Human Resource Management and Workplace Psychology. Inverge Journal of Social Sciences, 4(3), 262–273. https://doi.org/10.63544/ijss.v4i3.164 Gallo, D. A. (2010). False memories and fantastic beliefs: 15 years of the DRM illusion. Memory & Cognition, 38(7), 833–848. https://doi.org/10.3758/mc.38.7.833 Gallo, D. A., McDermott, K. B., Percer, J. M., & Roediger, H. L. (2001). Modality effects in false recall and false recognition. Journal of Experimental Psychology: Learning, Memory, and Cognition, 27(2), 339–353. https://doi.org/10.1037/0278-7393.27.2.339 Gisquet-Verrier, P., & Riccio, D. C. (2018). Memory integration: An alternative to the consolidation/reconsolidation hypothesis. Progress in Neurobiology, 171, 15–31. https://doi.org/10.1016/j.pneurobio.2018.10.002 Hina, B., Agha, N., & Rashdi, S. M. F. (2025). Gendered Barriers: How Patriarchal Norms Shape Married Women’s Employment in Sukkur City. Inverge Journal of Social Sciences, 4(3), 311–318. https://doi.org/10.63544/ijss.v4i3.169 Hockley, W. E., Bancroft, T. D., & Bryant, E. (2012). Associative and familiarity-based effects of environmental context on memory. Canadian Journal of Experimental Psychology / Revue Canadienne de Psychologie Expérimentale, 66(2), 81–89. https://doi.org/10.1037/a0027136 Howe, M. L. (2011). The adaptive nature of memory and its illusions. Current Directions in Psychological Science, 20(5), 312–315. https://doi.org/10.1177/0963721411416571 Jiang, Y. V., & Sisk, C. A. (2019). Contextual cueing. Neuromethods, 59–72. https://doi.org/10.1007/7657_2019_19 Kansteiner, W. (2002). Finding meaning in memory: A methodological critique of collective memory studies. History and Theory, 41(2), 179–197. https://doi.org/10.1111/0018-2656.00198 Kellogg, R. T. (2001). Presentation modality and mode of recall in verbal false memory. Journal of Experimental Psychology: Learning, Memory, and Cognition, 27(4), 913–919. https://doi.org/10.1037/0278-7393.27.4.913 Kurkela, K. A., & Dennis, N. A. (2016). Event-related fMRI studies of false memory: An activation likelihood estimation meta-analysis. Neuropsychologia, 81, 149–167. https://doi.org/10.1016/j.neuropsychologia.2015.12.006 Lindsay, D. S., Hagen, L., Read, J. D., Wade, K. A., & Garry, M. (2004). True photographs and false memories. Psychological Science, 15(3), 149–154. https://doi.org/10.1111/j.0956-7976.2004.01503002.x Loftus, E. F. (2005). Planting misinformation in the human mind: A 30-year investigation of the malleability of memory. Learning & Memory, 12(4), 361–366. https://doi.org/10.1101/lm.94705 Loftus, E. F., & Pickrell, J. E. (1995). The formation of false memories. Psychiatric Annals, 25(12), 720–725. https://doi.org/10.3928/0048-5713-19951201-07 Lopes, E. J., & Garcia, R. B. (2014). On the possibility of using reaction time to study false memories. Psychology & Neuroscience, 7(3), 393–397. https://doi.org/10.3922/j.psns.2014.047 Loprinzi, P. D. (2023). Effects of pictorial and imagery encoding on false memories. Malmberg, K. J., Raaijmakers, J. G. W., & Shiffrin, R. M. (2019). 50 years of research sparked by Atkinson and Shiffrin (1968). Memory & Cognition, 47(4), 561–574. https://doi.org/10.3758/s13421-019-00896-7 Marian, V., Hayakawa, S., & Schroeder, S. R. (2021). Cross-modal interaction between auditory and visual input impacts memory retrieval. Frontiers in Neuroscience, 15, Article 661477. https://doi.org/10.3389/fnins.2021.661477 McDermott, K. B. (1996). The persistence of false memories in list recall. Journal of Memory and Language, 35(2), 212–230. https://doi.org/10.1006/jmla.1996.0012 Meyerhoff, H. S., Jaggy, O., Papenmeier, F., & Huff, M. (2022). Long-term memory representations for audio-visual scenes. Memory & Cognition, 51. https://doi.org/10.3758/s13421-022-01355-6 Neuschatz, J. S., Wetmore, S. A., & Gronlund, S. D. (2015). Memory gaps and memory errors. In Emerging trends in the social and
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.005 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".