cs.HC · 2026-09-25 · No. 124

Human-Computer Interaction, 2026-09-25.

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

    Guardrails or Roadblocks? Effects of Pedagogical Style and Context Awareness in AI Teaching Assistants for Programming

    Madeleine Eastwood, Harshith Narne, Joseph Hilby, Paul Denny, Ashish Aggarwal, Amanpreet Kapoor

    cs.HC · cs.AI

    AI teaching assistants (AI TAs) backed by large language models (LLMs) and pedagogical guardrails are increasingly being integrated into programming courses, providing students with scalable access to hints, conceptual explanations, and code-level feedback. However, guardrails may also create friction. If students feel that the support provided is overly restrictive or poorly contextualized to their current progress, they may bypass approved...

    arxiv.org/abs/2609.29995 · PDF

  2. 02

    Working with Agentic `Teammates': When a New Organizational Actor Collides with the Human Ecosystem of Work

    Rida Qadri, Remi Denton, Michael Madaio, Mahima Pushkarna, Leslie Lai, Sherry Moore, Michelle Chen Huebscher, Andrew...

    cs.HC · cs.AI

    Enterprise AI is transitioning from single-user, reactive tools toward proactive, multi-user 'teammates,' but our empirical understanding of this transition is limited. In this paper, we present an in-situ qualitative study of a persistent, proactive AI agent 'teammate' deployed across multiple teams in a large technology company. Our findings reveal the boundaries of the human-agent workplace are actively in flux, triggering breakdowns and...

    arxiv.org/abs/2609.29901 · PDF

  3. 03

    DocuTeam: Mixed-Initiative Multi-Agent Discussions around Evolving Documents

    Heechan Lee, Juhyeon Choi, Tae Soo Kim, Juho Kim, Joseph Seering

    cs.HC · cs.AI

    In open-ended problem solving, collaborators often rely on discussion to surface concerns, challenge perspectives, and refine shared work as it evolves. While AI agents are increasingly used as discussion partners, existing multi-agent systems place a heavy burden on users to initiate and carefully orchestrate the discussions. We present DocuTeam, a mixed-initiative multi-agent discussion system in which both users and agents can initiate and...

    arxiv.org/abs/2609.29309 · PDF

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