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{
    "pk": 49457,
    "title": "Linking Strategies to Think Aloud in A Stochastic Learning Task",
    "subtitle": null,
    "abstract": "Understanding human thoughts is a key goal of cognitive science. Behavioral observations alone limit insight into cognition. The think-aloud protocol, where participants verbalize thoughts, offers a direct probe into reasoning but is underutilized due to challenges in subjectivity and scalability. Advancements in natural language processing (NLP) enable computational analysis of think-aloud data, yet little work explores its role in strategy learning. We test whether think-aloud reports reveal strategy use in a stochastic learning task where participants verbalized their strategies. Our results show diverse strategy usage, with a preference for persistent choices. Think-aloud analysis suggests participants rely on distinct meta-strategies to guide learning. Clustering and predictive modeling reveal strong alignment between choices and verbalized strategies. These findings highlight think-aloud as a scalable tool with NLP techniques for studying high-level cognition, shedding light on a promising paradigm for cognitive sciences.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [
        {
            "word": "Psychology; Decision making; Language and thought; Learning; Reasoning; Computational Modeling; Verbal protocol studies"
        }
    ],
    "section": "Papers with Poster Presentation",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/4sb936m3",
    "frozenauthors": [
        {
            "first_name": "Zhenlong",
            "middle_name": "",
            "last_name": "Zhang",
            "name_suffix": "",
            "institution": "John Hopkins University",
            "department": ""
        },
        {
            "first_name": "Hanbo",
            "middle_name": "",
            "last_name": "Xie",
            "name_suffix": "",
            "institution": "Georgia Institute of Technology",
            "department": ""
        },
        {
            "first_name": "Travis",
            "middle_name": "E",
            "last_name": "Baker",
            "name_suffix": "",
            "institution": "Rutgers University",
            "department": ""
        },
        {
            "first_name": "Megan",
            "middle_name": "",
            "last_name": "Peters",
            "name_suffix": "",
            "institution": "University of California Irvine",
            "department": ""
        },
        {
            "first_name": "Robert",
            "middle_name": "",
            "last_name": "Wilson",
            "name_suffix": "",
            "institution": "Georgia Tech",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "2025-01-02T00:00:00+06:00",
    "render_galley": null,
    "galleys": [
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/49457/galley/37419/download/"
        }
    ]
}