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human-computer interaction

2,089 papers

#human-computer interacti... Preprint Open access Sep 2026

ShellVis: Sandboxed Live Programming for Shell Scripts

Live programming provides visibility to programmers by running and tracing programs as they are edited. However, for programs with potentially harmful side effects, liveness can turn mistakes into disasters. We propose enabling live programming in environments with side effects via sandboxing: confining effects to a si...

Joshua Horowitz, Jeffrey Heer · 0 citations
#human-computer interacti... Preprint Sep 2026

"Coder first, advocate second, college student third": The Liminality of Going to College as a Blind Computing Student

It is argued that the college transition is a critical point for analysis and technological intervention, and further, that Intersecting Liminality provides a useful lens for HCI scholars to unpack the compounding challenges that prevent some BLV students from completing computing degrees.

Isabela Figueira, Josahandi M. Cisneros, S. Branham · 0 citations
#human-computer interacti... Preprint Sep 2026

What Makes Creation Human? Authorship, Reasons, and Meaningful Human Control in Generative AI

The paper proposes dynamic-reflexive tracking (DRT), which requires that a creator's evolving reasons undergo reflective uptake, exert genuine influence on the subsequent trajectory of creation, and remain capable of rejecting and redirecting the system's default direction.

Yu-Xin Cao · 0 citations
#artificial intelligence Preprint Sep 2026

A Voice-Interactive Multi-Agent System for Smart Operating Rooms: Architecture Design and Key Technologies

This paper presents SurgicalRoomAgent, a voice-interactive multi-agent system for smart operating rooms based on large language models (LLMs), which achieves natural language understanding, device control, intraoperative recording, and surgical report generation through a layered architecture comprising a voice interac...

Tian Zhou · 0 citations
#artificial intelligence Preprint Sep 2026

(Whose defaults?) Is artificial intelligence reorienting archaeological methods?

Generative AI and the practice of"vibe coding"are changing how archaeologists carry out computational research, but their effects on the discipline's range of methods is still understudied. In this paper, we evaluate whether large language models (LLMs) are narrowing the variety of methods archaeologists use. We first...

L. Cardarelli, Roberto Ragno · 0 citations

Active noise cancellation on open-ear smart glasses

An ANC system for open-ear wearables that suppresses environmental noise using only microphones and miniaturized open-ear speakers embedded within the frame of the wearables, removing the need for an in-ear error microphone is presented.

Kuang Yuan, Freddy Yifei Liu, Tong Xiao et al. · 1 citation
#machine learning Preprint Aug 2026

Transfer Learning of Keystroke Dynamics for Cross-Device User Authentication

This work proposes a cross-device user authentication system based on inductive transfer learning, where keystroke dynamics learned on one device are adapted to a secondary device, which is used to robustly train a binary classifier.

Nuwan Kaluarachchi, Sevvandi Kandanaarachchi, K. Moore et al. · 0 citations
#cybersecurity Review Feb 2026

"Tab, Tab, Bug": Security Pitfalls of Next Edit Suggestions in AI-Integrated IDEs

The first systematic security study of NES systems is conducted, finding that NES retrieves a significantly expanded context, including inputs from imperceptible user actions and global codebase retrieval, which increases the attack surfaces.

Yunlong Lyu, Yi-Xuan Tang, Peng Chen et al. · 1 citation
#cybersecurity Review Open access Feb 2025

Towards On-Device Evidence Gathering for Intimate Partner Infiltration: A Feasibility Study for Joint Identity-Action Detection

AID, Automated IPI Detection, a data-driven system that continuously logs unauthorized access and suspicious behaviors on smartphones is presented, demonstrating AID's potential as an evidence-support tool that complements current clinic-based interpretation and safety-planning.

Wei-Si Yang, Shi-Nan Liu, Feng Xiao et al. · 2 citations

Breakdowns for Human-Machine Creative Reflexivity

Preliminary findings on breakdowns are presented as a design principle for creativity support, prioritising human creative agency and meaningful reflection over automated content generation.

Marianne Bossema, S. Ben Allouch, Rob Saunders · 0 citations
#human-computer interacti... Preprint Sep 2026

Senseful Consense: Towards Simplified Cookie Banners using Plain Language

This feasibility study investigates the impact of applying plain language (Einfache Sprache) to cookie banners within the IAB Transparency&Consent Framework and demonstrates that the comprehension barrier can be lowered from a college-graduate level to a 7th-grade level.

Minela Bećirović, Ha Dao, Mannat Kaur 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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