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Effects of system response delays on elderly humans’ cognitive performance in a virtual training scenario

, , , , , and . Scientific reports, 9 (1): 1--12 (2019)
DOI: 10.1038/s41598-019-44718-x

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Influences of cognitive load on learning performance, speech and physiological parameters in a dual-task setting, , , , and . Abstracts of the 20th Conference of the European Society for Cognitive Psychology, page 161. Potsdam, Germany, (2017)Advances in Ergonomic Design of Systems, Products and Processes. Proceedings of the Annual Meeting of the GfA 2015, , and . chapter Sustainable effects of simulator-based training on ecological driving, page 463--475. Springer, (2016)CLT meets WMU: Simultaneous experimental manipulation of load factors in a basal working memory task, , , , and . 9th International Cognitive Load Theory Conference, June 22nd to 24th, 2016, Bochum, Germany, Abstracts, page 19. (2016)The Goal Characteristics (GC) questionnaire: Measuring goals’ content, attainability, interestingness, and usefulness, , and . 60th Annual Meeting of the Psychonomic Society, page 255. Montreal, QB, Psychonomic Society, (2019)Modeling cognitive load effects in an interrupted learning task: An ACT-R approach, , and . Proceedings of the 39th Annual Meeting of the Cognitive Science Society, page 3540--3545. Austin, TX, Cognitive Science Society, (2017)Inspecting cognitive load factors in digital learning settings with ACT-R. Dagstuhl 2017. Proceedings of the 11th Joint Workshop of the German Research Training Groups in Computer Science, page 62. (2017)An ACT-R approach to investigating mechanisms of performance-related changes in an interrupted learning task, , , and . (2019)Experimentelle Induktion beeinträchtigter Aufmerksamkeit im Kontext des seductive detail Effekts. (2012)ACTrain: Ein KI-basiertes Aufmerksamkeitstraining für die Wissensarbeit, , , , , and . Digitale Arbeit, digitaler Wandel, digitaler Mensch?. 66. Kongress der Gesellschaft für Arbeitswissenschaft, page C.8.8. Berlin, Gesellschaft für Arbeitswissenschaft e.V., (2020)Augmenting EEG with generative adversarial networks enhances brain decoding across classifiers and sample sizes, , , and . Proceedings of the 45th Annual Meeting of the Cognitive Science Society, page 1770–1776. Cognitive Science Society, (2023)