cs.HC · 2026-09-19 · No. 118

Human-Computer Interaction, 2026-09-19.

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

01 — The papers

3 entries
  1. 01

    Semantic Action Graph: A Shared Representation for Agent Grounding and Human Interpretation of Sports Highlights

    Tica Lin, Deepak Chandran, Gauri Jagatap, Chen Chen, Andrea Fanelli, David Gunawan, Josh Kimball

    cs.HC · cs.AI

    Generative agents are increasingly used to select and narrate video highlights, but they typically operate over unstructured or frame-level representations. Their output is consequently difficult for a viewer to verify and steer toward individual preferences. We present the semantic action graph, a lightweight domain schema that represents a sports match as performer, action, recipient, moment, and state nodes connected by role, temporal, and...

    arxiv.org/abs/2609.20768 · PDF

  2. 02

    Designing Against Deskilling: Metacognitive Feedback Reduces Cognitive Offloading to LLM Assistants

    Sebastian Maier, Kai Schwabe, Manuel Schneider, Stefan Feuerriegel

    cs.HC · cs.AI

    Cognitive offloading to AI can reduce opportunities to practice skills, creating risks of deskilling. However, it remains unclear how to prevent deskilling without restricting access to AI. Here, we design two interventions to reduce offloading decisions: (1) metacognitive feedback that makes the implications of offloading for users explicit, and (2) an effort-based reward that incentivizes less extensive LLM assistance. We test both in a...

    arxiv.org/abs/2609.20143 · PDF

  3. 03

    AI Should Facilitate Democratic Deliberation at Scale

    José Ramón Enríquez, Jiaxin Pei, Alex Pentland

    cs.HC · cs.AI · cs.CL · cs.CY

    AI systems can strengthen democracy by supporting deliberation at scale by addressing cognitive, social, platform-design, and market-driven frictions, while preserving human agency. Unlike proposals such as liquid democracy that restructure representation through vote delegation, in this position paper, we argue that AI-assisted deliberation offers a more promising path by lowering barriers to meaningful engagement without substituting...

    arxiv.org/abs/2609.20059 · PDF

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