2601.14611v1.pdf

{
  "file/base": {
    "record": {
      "extension": ".pdf",
      "hash": "45b10a223d1c66e5e5ed43a4bf9e5f18db3c705fcd9a8b43059b3e214a4aaa1c",
      "media_type": "application/pdf",
      "media_type_prefix": "application",
      "name": "2601.14611v1.pdf",
      "size": 3074045
    },
    "source": {
      "execution_id": "a43a63fa-82c3-4e68-b4c7-b5556255052c",
      "id": "file/base",
      "type": "Model",
      "version": "1.0.0"
    }
  },
  "file/pdf": {
    "private": false,
    "record": {
      "creation_date": "2026-01-22T01:25:46Z",
      "keywords": [
        "Conversational AI",
        "Source Transparency",
        "Human-AI Interaction",
        "Information Seeking",
        "Information Evaluation",
        "Critical Thinking",
        "Interface Design",
        "Large Language Models",
        "User Study"
      ],
      "modified_date": "2026-01-22T01:25:46Z",
      "page_count": 23,
      "producer": "pikepdf 8.15.1",
      "subject": "-  Human-centered computing  -\u003e  Empirical studies in HCI.User studies.Empirical studies in interaction design.",
      "title": "Seeing to Think? How Source Transparency Design Shapes Interactive Information Seeking and Evaluation in Conversational AI",
      "version": "1.7"
    },
    "source": {
      "execution_id": "93b83ae5-eb9a-4bd0-88ae-ffa99a42fb01",
      "id": "dorsal/pdf",
      "type": "Model",
      "version": "1.1.0"
    }
  }
}