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human-computer interaction

2,089 papers

Chart-Supported or Model-Supplied? Examining MLLM-Generated Claims for Accessible Visualization

Multimodal large language models (MLLMs) can connect visualization patterns to external causes, consequences, and domain knowledge, but the evidential basis of these interpretations is often unclear. We present an exploratory study of 102 visualizations from four sources, three MLLMs, and four input conditions that var...

I. Eliza, Md Dilshadur Rahman · 0 citations
#human-computer interacti... Preprint Mar 2026

Audo-Sight: AI-driven Ambient Perception Across Edge-Cloud for Blind and Low Vision Users

Audo-Sight is presented, an AI-driven assistive system that spans across Edge-Cloud continuum and enables BLV individuals to perceive their surroundings through voice-based conversation and provides low-latency, accurate, and human-friendly responses through a novel mechanism that seamlessly fuses Edge and Cloud respon...

J. Bradshaw, Mohsen Riahi Alam, Bhanuja Ainary et al. · 1 citation
#artificial intelligence Preprint Jul 2026

Same Stories, Different Journeys: Exploring Persona-Grounded Conversational Agents for Supporting Career Exploration with Peers'Posts

This paper developed JobMate, a prototype featuring agents that have personas built upon peers' posts and follow the self-determination theory to converse with users, and discusses design implications for combining authentic peer experiences with generative AI in career exploration.

Peng-Ping Tan, Bao-Quan Zhao, Shuai Ma et al. · 0 citations

PhysDox: Benchmarking LLMs on Physical Feasibility Auditing of Physiological Sensing Protocols

PhysDox is introduced, a physical feasibility auditing benchmark for biomedical protocols comprising a 683-sample expert-curated Gold set and a 5,000-sample Silver set across six sensing domains, demonstrating that protocol auditing demands calibrated feasibility reasoning rather than factual recall or longer rationale...

He Liu, Boyuan Gu, Shuai Cheng et al. · 2 citations
#artificial intelligence Preprint Open access Sep 2026

LitPivot: Developing Well-Situated Research Ideas Through Dynamic Contextualization and Critique within the Literature Landscape

Developing a novel research idea is hard. It must be distinct enough from prior work to claim a contribution while also building on it. This requires iteratively reviewing literature and refining an idea based on what a researcher reads; yet when an idea changes, the literature that matters often changes with it. Most...

Hita Kambhamettu, Bhavana Dalvi Mishra, Andrew Head et al. · 0 citations
#human-computer interacti... Book Open access Oct 2025

AI Eyes on the Road: Cross-Cultural Perspectives on Traffic Surveillance

AI-powered road surveillance systems are increasingly proposed to monitor infractions such as speeding, phone use, and jaywalking. While these systems promise to enhance safety by discouraging dangerous behaviors, they also raise concerns about privacy, fairness, and potential misuse of personal data. Yet empirical res...

Ziming Wang, Shiwei Yang, Rebecca M. Currano et al. · 1 citation

Describe Me Something You Do Not Remember - Challenges and Risks of Exposure Design Using Generative Artificial Intelligence for Therapy of Complex Post-traumatic Disorder

Post-traumatic stress disorder (PTSD) is associated with sudden, uncontrollable, and intense flashbacks of traumatic memories. Trauma exposure psychotherapy has proven effective in reducing the severity of trauma-related symptoms. It involves controlled recall of traumatic memories to train coping mechanisms for flashb...

Annalisa Degenhard, S. Tschöke, Michael Rietzler et al. · 2 citations
#robotics Preprint Sep 2026

Talk2Escape: Conversational Grounding for Vision-and-Language Navigation

Talk2Escape is introduced, a proactive and model-agnostic dialogue intervention framework that reframes navigation as a closed-loop interactive process and proves that proactive dialogue drastically improves navigation robustness in physical environments.

Ze-Rui Li, Si-Hao Lin, Yan-Yan Shao et al. · 0 citations
#human-computer interacti... Conference Open access Aug 2026

LLM-Assisted Workflow for Structural Difference Visualization in Evolving Software Requirements

An LLM-assisted workflow that represents baseline and current requirements as triple-based semantic graphs and supports side-by-side comparison of curated graph snapshots and uses visual encoding to highlight structural changes.

K. McFarland, Song-Hui Yue · 0 citations
#robotics Preprint Aug 2026

Remote Surfaces at Your Fingertips: Electrovibration-Based Tactile Feedback for Robot Teleoperation via Touchscreen Interfaces

Electrovibration-based tactile feedback is demonstrated to be a viable and effective modality for robot teleoperation, improving operator responsiveness and sense of presence in contact-rich manipulation tasks, with direct applicability to safety-critical domains such as nuclear maintenance.

Alperen Kenan, Juan Jose Garcia Cardenas, Adriana Tapus et al. · 0 citations
#computer vision Preprint Sep 2026

When Visual Quality Misleads: Intent Recognition under Rendered Avatar Distortions

A controlled behavioral study of rendered 3D avatars across a pristine condition and fourteen geometric, photometric, temporal, and combined distortions reveals a quality--accuracy dissociation where distortion families affect appearance and communication differently.

Ning-Hsuan Chang, Kai Ma, Yu-Chih Chen · 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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