Fiechter, J. L. (2024). Drawing generalizable conclusions from multilevel models: Commentary on Van de Calseyde and Efendić (2022). Psychological Science, 35, 694-699. PDF Supplemental materials
Fiechter, J. L., Juvina, I., Summerville, A., Wellborn, B. L., Banerjee, T., Dooley, C. (2023). Evaluating the effect of acceleration on in-flight oxygen demands. Proceedings of the 22nd Annual Meeting of the International Symposium on Aviation Psychology. PDF
Widmer, C., Sarker, M. K., Nadella, S., Fiechter, J. L., Juvina, I., Minnery, B., Hitzler, P. Schwartz, J., & Raymer, M. (2023). Towards human-compatible XAI: Explaining data differentials with concept induction over background knowledge. Journal of Web Semantics, 79, 100807. PDF
Fiechter, J. L., Juvina, I., & Minnery, B. (2022). Modeling paired choice data to effectively predict human evaluations of individual performance. Proceedings of the 2022 National Defense Industrial Association Human Systems Conference. PDF Slides
Sense, F., Sanderson, L., Onia, J., Krusmark, M., Fiechter, J. L., Collins, M. G., & Jastrzembski, T. (2022). Fuzzy performance profiles: Towards personalized CPR refresher training. Proceedings of the Annual Meeting of the Cognitive Science Society, 44, 251-258. PDF
Sense, F., Wood, R., Collins, M. G., Fiechter, J. L., Wood, A., Krusmark, M., Jastrzembski, T., & Myers, C. W. (2022). Cognition-enhanced machine learning for better predictions with limited data. Topics in Cognitive Science, 14, 739-755. PDF
Fiechter, J. L., & Kornell, N. (2021). Answering a factual question today increases one's confidence in the same answer tomorrow–independent of fluency. Psychonomic Bulletin & Review. PDF
Fiechter, J. L., & Kornell, N. (2021). How the wisdom of crowds, and of the crowd within, are affected by expertise. Cognitive Research: Principles and Implications. PDF
Fiechter, J. L., Sense, F., Collins, M. G., Krusmark, M., & Jastrzembski, T. (2021). Additional acquisition sessions monotonically benefit retention and relearning. Proceedings of the Annual Meeting of the Cognitive Science Society, 43, 1381 - 1387. PDF
Sense, F., Krusmark, M., Fiechter, J. L., Collins, M. G., Sanderson, L., Onia, J., & Jastrzembski, T. (2021). Combining cognitive and machine learning models mine CPR training histories for personalized predictions. Proceedings of the 14th International Conference on Educational Data Mining, 415-421. PDF
Fiechter, J. L., & Benjamin, A. S. (2019). Techniques for scaffolding retrieval practice: The costs and benefits of adaptive versus diminishing cues. Psychonomic Bulletin & Review, 26, 1666 - 1674. PDF
Fiechter, J. L., Fealing, C., Gerrard, R., & Kornell, N. (2018). Audiovisual quality impacts assessments of job candidates in video interviews: Evidence for an AV fluency bias. Cognitive Research: Principles and Implications. PDF
Fiechter, J. L., & Benjamin, A. S. (2018). Diminishing-cues retrieval practice: A memory-enhancing technique that works when regular testing doesn't. Psychonomic Bulletin & Review, 25, 1868-1876. PDF
Tullis, J. G., Fiechter, J. L., & Benjamin, A. S. (2018). The efficacy of learners' testing choices. Journal of Experimental Psychology: Learning, Memory, and Cognition, 44, 540-552. PDF
Fiechter, J. L., & Benjamin, A. S. (2017). Updating metacognitive control in response to expected retention intervals. Memory & Cognition, 45, 347-361. PDF
Fiechter, J. L., Benjamin, A. S., & Unsworth, N. (2016). The metacognitive foundations of effective remembering. In J. Dunlosky & S. K. Tauber (Eds.), The Oxford Handbook of Metamemory (pp. 307-324). New York: Oxford University Press. PDF