cs.HC · 2026-09-22 · No. 121

Human-Computer Interaction, 2026-09-22.

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

01 — The papers

7 entries
  1. 01

    Generative Tutorial: Towards Live Contextualized Visual Instructions for Physical Tasks

    Muzhe Wu, Zuchen Li, Xu Wang, Anhong Guo

    cs.HC · cs.AI

    Visual instructions for physical tasks are typically authored in one context and followed in another, requiring users to translate demonstrated tools, materials, and spatial relationships into their own environment. We introduce Generative Tutorial, a conceptual framework for live visual instruction that depicts intended outcomes and actions within the user's environment and task flow. A formative evaluation of state-of-the-art image and...

    arxiv.org/abs/2609.24955 · PDF

  2. 02

    Small-world Networks of Agents Brainstorm AI Risks to Support Ideation

    Ke Zhou, Edyta Bogucka, Daniele Quercia

    cs.HC · cs.AI

    The ideation phase of participatory AI risk assessment often starts with a blank slate or a limited list of predefined risks, making it difficult to surface indirect or systemic harms. To address this limitation, we propose a three-stage ideation support tool. The tool complements participatory AI, rather than replacing it, and helps focus later engagement with affected communities. First, it dynamically discovers stakeholders depending on...

    arxiv.org/abs/2609.24859 · PDF

  3. 03

    Detecting Agitation Before Behavioral Escalation in Autistic Youth Through Multimodal Wearable Sensing

    Nibraas Khan, Abigale Plunk, John Staubitz, Ingrid Shragge, Jordan Brooks, Suzanne Wright, Alec Brewer, James...

    cs.HC · cs.LG

    Challenging behaviors including aggression, self-injury, and property destruction are observed in 68% of autistic youth and pose risks to youth and caregivers. These episodes are preceded by agitation, a rising state of distress expressed through movement, vocalization, and autonomic arousal. Its signs are subtle and individualized, and its autonomic components are invisible without instrumentation. We collected upper-body movement from...

    arxiv.org/abs/2609.24791 · PDF

  4. 04

    "MeBo Leaves a Piece of You Behind": Designing a Relational Voice-Based Memory Companion for Older Adults

    Hasibur Rahman, Mahsa Nasri, Manasi Vaidya, Melika Vafafar, Jessie Chin, Smit Desai

    cs.HC · cs.AI

    Autobiographical remembering supports identity, well-being, and social connection in later life, yet voice-based memory technologies largely rely on isolated prompts. We designed and built MeBo, a fully functional relational voice-based memory companion, through participatory design with 11 older adults. Their accounts shaped four Design Strategies that guided MeBo's interaction design and multi-agent implementation. In a mixed-methods...

    arxiv.org/abs/2609.24706 · PDF

  5. 05

    Annie, Are You Okay? How Style- and Context-Based Personalization Shape AI-Assisted Decision-Making

    Hasibur Rahman, Benjamin R. Cowan, Smit Desai

    cs.HC · cs.AI

    As people turn to generative AI for financial advice, these systems can personalize how they communicate and what they say. Whether these forms of personalization shape decisions differently remains unclear. We conducted a preregistered 2 x 2 between-subjects factorial experiment (N=240): participants ranked three comparably viable stocks, discussed them with an AI, and reranked them. Participants perceived both forms of personalization, but...

    arxiv.org/abs/2609.24644 · PDF

  6. 06

    DeceptionAnalyser: A Web-Based AI Tool for Performing Structured Deception Analysis with Argumentation Schemes and LLMs

    Stefan Sarkadi, Xabier Garmendia, Jack Mumford, Trevor Bench-Capon

    cs.HC · cs.AI

    Deception plays a central role in Intelligence operations, yet it remains difficult to analyse systematically without expert knowledge of reasoning patterns and cognitive manipulation. In computational argumentation, for instance, no scheme-level ground-truth corpora currently exist to support statistical validation. In this paper, we address this by introducing a set of ten argument schemes designed to model distinct forms of deception, each...

    arxiv.org/abs/2609.24369 · PDF

  7. 07

    WidgetVA: A Widget-Centric Framework and Benchmark for Agentic Visual Analytics

    Yutong Chen, Zhike Tang, Zhihao Mai, Zhihao Shuai, Danli Luo, Jing Xu, Weikai Yang

    cs.HC · cs.AI

    Visual analytics (VA) enables sensemaking through interactive visualization, but effective analysis often requires experts to translate high-level intents into long sequences of interface operations and iteratively interpret visual feedback. We study whether modern vision-language models (VLMs) can take on this role as autonomous VA operators that observe the interface, plan multi-step exploration, execute interactions, and adapt based on...

    arxiv.org/abs/2609.24094 · PDF

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