Skip to content

Category

human-computer interaction

1,682 papers

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

The Oracle of Chemnitz: An interactive art installation to reanimate old things in a garage featuring a rotary phone

Garages have a long tradition of tinkering, creativity and innovative change. School of Garage, a participatory artistic summer school project in Chemnitz, the European Capital of Culture 2025, took up this tradition and turned old Eastern Bloc garages into temporary ateliers for collaborative making and discussion. In...

Karola K\"opferl, Albrecht Kurze · 0 citations
#human-computer interacti... Preprint Open access Sep 2026

Designing Computerized Gait Analysis for Pediatric Care: Clinician Perspectives on Sensing, Workflow, and Care Environments

Computerized gait analysis (CGA) is a diagnostic tool for various disorders in children, enabling objective assessment of movement for clinical interventions. Existing work on pediatric CGA has focused on technical/clinical performance, leaving less understood about how clinicians interact with these systems in practic...

Elizabeth Hong, Andrea Green, Ge Wang et al. · 0 citations
#human-computer interacti... Preprint Open access Sep 2026

A Plan-Tracing Interface for AI-Supported Algorithm Planning

Planning an algorithm in natural language allows learners to get formative feedback on their approach before coding. But these descriptions can be ambiguous, making it challenging for learners to translate them into code and for LLMs to provide feedback. To address these challenges, we introduce plan tracing, in which...

Yoshee Jain, Heejin Do, Zihan Wu et al. · 0 citations
#human-computer interacti... Book Open access Oct 2025

When Should Users Check? Modeling Confirmation Frequency in Multi-Step Agentic AI Tasks

A decision-theoretic model is developed to determine time-efficient confirmation point placement and results show that 81% of participants preferred the intermediate confirmation approach over the confirm-at-end approach used by existing systems, and task completion time was reduced by 13.54%.

Jie-Yu Zhou, Aryan Roy, Sneh Gupta et al. · 7 citations · ⚡2
#artificial intelligence Book Open access Sep 2025

DoubleAgents: Human-Agent Alignment in a Socially Embedded Workflow

DoubleAgents is presented, a system for human–agent alignment in coordination tasks, grounded in distributed cognition that introduces interactive simulation as a methodological testbed for rapid iteration and alignment testing of agentic systems.

Tao Long, Xuan-Ming Zhang, Si-Tong Wang et al. · 1 citation
#human-computer interacti... Preprint Open access Sep 2026

Evaluating Ambient Clinical Scribes in India: The Need for Multilingual Real-World Clinical Conversation Data

Ambient clinical scribes (ACS) are being rapidly deployed at scale across Global South healthcare settings, aiming to reduce clinician documentation time, especially in overburdened environments like India. These ACS are primarily developed or distilled from models built and validated on Global North speech, languages...

Siddharth D Jaiswal, Krithi S, Ashish Makani et al. · 0 citations
#robotics Preprint Sep 2026

XRoboToolKit-T: Teleoperation with High Stability and Precision with Tactile Sensing for Contact-rich Manipulation

Collecting high-quality robot data for contact-rich manipulation tasks is essential for enabling robots to acquire real-world skills. However, existing data collection solutions often lack the capability to obtain stable and high-frequency tactile feedback, limiting their effectiveness in contact-rich manipulation scen...

Xiwen Dengxiong, Xue-Ting Wang, Ke Jing et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Auto-HSI: Personalized human control of a robot swarm on demand by using LLMs for online automatic code generation

This paper presents Auto-HSI, a method for generating personalized human-swarm interaction (HSI) interfaces on demand. The objective is to enable untrained operators to use natural language descriptions and gesture demonstrations to explain how they want the robots to collectively behave in response to their gestures....

Alessandro Nazzari, Nathan Cerisara, Dorian Tonnis et al. · 0 citations
#artificial intelligence Review Sep 2026

"Looking for Something Weird to Happen": How Humans Sustain AI Agent Novelty Amid Semantic Collapse

Semantic collapse, the progressive narrowing of what AI systems generate, is studied in MOLTBOOK, a social network of interacting AI agents that human users configure and steer, and interface and policy interventions that could support improved human input are discussed.

Shiyang Lai, Arna Woemmel, Hong-Kai Mao et al. · 0 citations
#cybersecurity Preprint Open access Sep 2026

Using Codebooks to Detect Cybercrime Topics in Text Narratives

In the United States, management of cybercrime-related consumer complaints increasingly falls on state and city governments given de-staffing of federal agencies. AI, and in particular, large language models (LLMs), shows promise for detecting cybercrime in text complaints, but often via specialized models that local g...

Shufan Chai, Liangliang Sun, Jessica Staddon · 0 citations
#human-computer interacti... Preprint Open access Sep 2026

Quick-View Takeaways: How Does Title Framing Influences Pattern Identification in Line Charts?

Visual data communication in digital media is increasingly characterized by short attention spans and snapshot-based viewing, often employing line charts to convey trends and patterns. Among all visual elements, titles are crucial ones that can shape how viewers interpret visual information and form chart takeaways. In...

Jasmine Lim, Tapendra Pandey, Arran Zeyu Wang et al. · 0 citations
#human-computer interacti... Preprint Open access Sep 2026

How Does Title Framing Influence Pattern Identification in Line Charts?

Visual data communication in digital media is increasingly characterized by short attention spans and snapshot-based viewing, often employing line charts to convey trends and patterns. Among all visual elements, titles are crucial elements that can shape how viewers interpret visual information and form chart takeaways...

Jasmine Lim, Tapendra Pandey, Arran Zeyu Wang et al. · 0 citations

From tech blogs

See all →
MIT News · Artificial Intelligence Oct 7, 2026

Discovering the value of humanistic inquiry

Students in MIT’s Concourse program delve deeply into the human condition, debate challenging questions, and learn to develop judgment about issues that can’t be quantified.

Microsoft Research Blog Oct 6, 2026

What AI gets wrong and what failure teaches us

Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity.  The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.

MIT News · Artificial Intelligence Sep 30, 2026

This game-playing AI is the new champ at Stratego

Able to defeat top-ranked human players and more efficient than other models, the new system could help decision-makers in military maneuvers or business negotiations.

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.