Comparison of category and letter fluency tasks through automated analysis

Autor: Carmen Gonzalez-Recober, Naomi Nevler, Sanjana Shellikeri, Katheryn A. Q. Cousins, Emma Rhodes, Mark Liberman, Murray Grossman, David Irwin, Sunghye Cho
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Frontiers in Psychology, Vol 14 (2023)
Druh dokumentu: article
ISSN: 1664-1078
DOI: 10.3389/fpsyg.2023.1212793
Popis: IntroductionCategory and letter fluency tasks are commonly used neuropsychological tasks to evaluate lexical retrieval.MethodsThis study used validated automated methods, which allow for more expansive investigation, to analyze speech production of both category (“Animal”) and letter (“F”) fluency tasks produced by healthy participants (n = 36) on an online platform. Recordings were transcribed and analyzed through automated pipelines, which utilized natural language processing and automatic acoustic processing tools. Automated pipelines calculated overall performance scores, mean inter-word response time, and word start time; errors were excluded from analysis. Each word was rated for age of acquisition (AoA), ambiguity, concreteness, frequency, familiarity, word length, word duration, and phonetic and semantic distance from its previous word.ResultsParticipants produced significantly more words on the category fluency task relative to the letter fluency task (p
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