cs.HC · 2026-05-25 · No. 9

Human-Computer Interaction, 2026-05-25.

2 new papers in cs.HC. Titles, authors, abstracts. Links to arXiv. Want this in your inbox every morning? Subscribe →

01 — The papers

2 entries
  1. 01

    Human Decision-Making with Persuasive and Narrative LLM Explanations

    Laura R. Marusich, Mary Grace Kozuch Dhooghe, Jonathan Z. Bakdash, Murat Kantarcioglu

    cs.HC · cs.AI

    Large language models (LLMs) have the potential to aid and improve human decision-making in classification tasks, not only by providing fairly accurate predictions, but also in their ability to generate cogent narrative explanations of those predictions. Prior work has demonstrated that people generally find AI narrative explanations to be understandable, trustworthy, and convincing for changing beliefs and opinions; however, less is known...

    arxiv.org/abs/2605.23867 · PDF

  2. 02

    Socially fluent AI decouples conversational signals from source identity in online interaction

    Lixiang Yan, Yueqiao Jin, Xibin Han, Dragan Gašević

    cs.HC · cs.AI

    Socially fluent agentic AI can now participate in online interaction in ways that resemble ordinary human conversation, potentially weakening people's ability to infer who is human from conversational signals alone. We tested this possibility in synchronous text-based group interaction by embedding undisclosed AI agents as ordinary teammates across analytical, creative, and ethical tasks. Across 786 participants who made 1,572...

    arxiv.org/abs/2605.23426 · PDF

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