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human-computer interaction

2,089 papers

#machine learning Preprint Open access Oct 2026

Scaling Human-AI Coding Collaboration Requires a Governable Consensus Layer

Vibe coding turns natural-language intent into working software, but code generation alone does not give humans and agents a shared account of what they are building. As collaboration spans participants, components, and releases, design choices must remain understandable and open to revision. We argue that scaling huma...

Tianfu Wang, Zhezheng Hao, Yin Wu et al. · 0 citations
#human-computer interacti... Preprint Open access Oct 2026

FlowBook: Enforcing Reproducibility in Computational Notebooks

Computational notebooks interleave code cells with their outputs and let users edit and execute cells in arbitrary order. This flexibility supports interactive exploration, but it also allows outputs to become inconsistent with the notebook's current code and data. Such inconsistencies can lead users to draw invalid sc...

Stephen N. Freund, Emery D. Berger, Cormac Flanagan et al. · 0 citations
#cybersecurity Preprint Open access Oct 2026

"We Need a Standard": Toward an Expert-Informed Privacy Label for Differential Privacy

The increasing adoption of differential privacy (DP) leads to public-facing DP deployments by both government agencies and companies. However, real-world DP deployments often do not fully disclose their privacy guarantees, which vary greatly between deployments. Failure to disclose certain DP parameters can lead to mis...

Onyinye Dibia, Mengyi Lu, Prianka Bhattacharjee et al. · 0 citations
#human-computer interacti... Preprint Open access Oct 2026

CoCre-Sam (Kokkuri-san): Modeling Ouija Board as Collective Langevin Dynamics Sampling from Fused Language Models

Collective human activities like using an Ouija board (or Kokkuri-san) often produce emergent, coherent linguistic outputs unintended by any single participant. While psychological explanations such as the ideomotor effect exist, a computational understanding of how decentralized, implicit linguistic knowledge fuses th...

Tadahiro Taniguchi, Masatoshi Nagano, Haruumi Omoto et al. · 0 citations
#human-computer interacti... Preprint Open access Oct 2026

Interactive Mascot: A Scene-Centric Interaction Grammar for Data Visualizations

Scene-centric visualization systems expose semantic components, such as marks, encodings, layouts, and axes, as first-class objects that can be directly manipulated. Existing interaction abstractions, however, are largely based on event streams, signals, and data selections rather than semantic scene components. This m...

Zhicheng Liu · 0 citations
#human-computer interacti... Preprint Open access Oct 2026

Being and Time in XR: Other-Presentness Beyond Co-Presence

Research in XR (Extended Reality) has conventionally centred upon concepts such as Presence, Embodiment, Social Presence, and Co-presence. Within these traditions, bodily action, sensory contingencies, synchronous interaction, and possibilities for action have generally been regarded as constitutive conditions for the...

Koichi Toida · 0 citations
#human-computer interacti... Preprint Open access Oct 2026

CoBG: Learning from Player Reviews to Design, Critique, and Revise Board Game Rulebooks

Board game design alternates between thinking as a designer and experiencing as a player, over repeated cycles of prototyping, critique, and revision. This loop is cognitively demanding: without knowing how players will receive a rule, a designer cannot tell what to revise. We present CoBG, a design assistant that supp...

Zizhen Li, Jianwen Sun, Yukang Feng et al. · 0 citations
#human-computer interacti... Preprint Open access Oct 2026

Bodyless Presence: Reconsidering the Minimal Self in Immersive Video

Immersive video, namely 180-degree and 360-degree video designed to be viewed through head-mounted displays, constitutes an important boundary case between interactive VR and conventional two-dimensional video viewing for reconsidering self-experience in XR. In immersive video, the user can select the direction of the...

Koichi Toida · 0 citations
#human-computer interacti... Preprint Open access Oct 2026

FlexGuard: A Design Space for On-Body Feedback for Safety Scaffolding in Strength Training

Strength training carries inherent safety risks when exercises are performed without supervision. While haptics research has advanced, there remains a gap in how to integrate on-body feedback into intelligent wearables. Developing such a design space requires experiencing feedback in context, yet obtaining functional s...

Panayu Keelawat, Darshan Nere, Jyotshna Bali et al. · 0 citations

To Embody or Not: The Effect Of Embodiment On User Perception Of LLM-based Conversational Agents

A mixed-methods within-subjects study on how users perceive LLM-based CAs in cooperative tasks when embodied and non-embodied shows that the non-embodied agent received significantly better quantitative appraisals for competence than the embodied agent, and in qualitative feedback, many participants believed that the e...

Kyra Wang, Abhinaba Roy, Boon-Kiat Quek et al. · 3 citations
#computer vision Preprint Open access Oct 2026

Brain2Face: A Study on the Relation of EEG Signals and Spatio-temporal Head Avatars

Driving digital head avatars is classically done by hand-crafted artist design or by image-based facial performance capture. In this work, we ask whether spatio-temporal tracking of the humans's head geometry and appearance can be performed solely from brain signals, i.e., Electroencephalography (EEG). Since prior work...

Camilo Andr\'es Mart\'inez Mart\'inez, Olaf D\"unkel, Kartik Teotia et al. · 0 citations
#computer vision Preprint Oct 2026

FlowAvatar: Real-Time Full-Body Avatars from Sparse Egocentric Inputs on Consumer XR Devices

Prior avatar embodiment research has studied tracking completeness (how faithfully the body, hands, and face are sensed and reproduced) and personalized appearance in isolation, each requiring specialized lab equipment. How these factors interact on consumer hardware remains an open question, because no existing system...

Chen-Feng Gao, Taeyoung Yeon, Sungheon Park et al. · 0 citations

From tech blogs

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Microsoft Research Blog Nov 5, 2026

Formally verifying agent-written full-stack web apps with PDD Kit

AI agents can generate code at a scale that’s hard for humans to review line-by-line. PDD Kit helps ensure the code is doing what the developer intended by creating formal specifications and testing against them. It converts developer intent into a Verus specification, proves AI-generated code meets it for every input, and uses tests where proofs aren't practical. Developers review intent, not every line. The post Formally verifying agent-written full-stack web apps with PDD Kit appeared first o…

MIT News · Artificial Intelligence Oct 28, 2026

Making machines that can listen

Professor Paris Smaragdis develops computers with superhuman hearing for applications like speech recognition, music understanding, and environmental monitoring.

MIT News · Artificial Intelligence Oct 23, 2026

Reinforcing the value of human understanding at MIT

During the School of Humanities, Arts, and Social Sciences’ 75th Anniversary Symposium, President Sally Kornbluth said “MIT has never needed your particular insight and guidance more than we do now.”

MIT News · Artificial Intelligence Oct 23, 2026

Q&A: How AI came to model the “messy” human mind

Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.

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