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{
    "pk": 24479,
    "title": "The Task Task: Creative problem generation in humans and language models",
    "subtitle": null,
    "abstract": "Machine creativity is on the rise. Recent studies find that large language models achieve human performance on common psychological tests of creativity, which often pose a given problem and ask for novel or unusual solutions. But can AI go beyond producing solutions for given problems, to creatively propose new problems? We present the Task Task, a novel test that asks participants to come up with creative problems. In this test, we assess the ability of humans and GPT-4 to design challenge tasks for a game show. We evaluated proposed tasks using crowdsourced subjective creativity ratings, as well as computational measures of linguistic complexity and semantic content. We found that GPT-4 achieves similar scores as humans on creativity, originality, and judgments of how fun or difficult the tasks are. However, model-generated output tends to be shorter and connect more semantically distant concepts. We discuss implications and future directions for the psychology of creativity.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [
        {
            "word": "Artificial Intelligence; Psychology; Creativity; Natural Language Processing; Reasoning; Computer-based experiment; Large Language Models"
        }
    ],
    "section": "Papers with Poster Presentation",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/8nn3d4zw",
    "frozenauthors": [
        {
            "first_name": "Junyi",
            "middle_name": "",
            "last_name": "Chu",
            "name_suffix": "",
            "institution": "Harvard University",
            "department": ""
        },
        {
            "first_name": "Jennifer",
            "middle_name": "",
            "last_name": "Hu",
            "name_suffix": "",
            "institution": "Harvard University",
            "department": ""
        },
        {
            "first_name": "Tomer D.",
            "middle_name": "",
            "last_name": "Ullman",
            "name_suffix": "",
            "institution": "Harvard University",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "2024-01-01T18:00:00Z",
    "render_galley": {
        "label": "PDF",
        "type": "pdf",
        "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/24479/galley/21657/download/"
    },
    "galleys": [
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            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/24479/galley/14076/download/"
        },
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/24479/galley/21657/download/"
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    ]
}