HCI
User interfaces, accessibility, and human factors in computing
20 papers indexed
Developing a UXR Point of View for Cognitive Accessibility in Mobile Learning with Generative AI
The paper proposes a structured framework, the Cognitive Accessibility UXR Playbook, that uses UXR principles and Generative AI to transform ambiguous requirements into measurable, actionable specific…
Proceedings of The Fourth International Workshop on eXplainable AI for the Arts (XAIxArts 4)
Shuoyang Jasper Zheng, Terence Broad, Elizabeth Wilson, Adam Cole +11 more
The XAIxArts workshop explores the operationalisation of Explainable AI in the Arts, focusing on diversity, ideation, and resource development.
BiJuTy: An Interactive HPC-Aware Big Data Cluster Lifecycle Manager and Performance Assessment Utility for JupyterHub
BiJuTy is a user-friendly solution for executing complex big data processing workflows on high-performance computing systems within the Jupyter ecosystem.
Thinking Outside the [Chat]Box: Bridging Computer Science and Industrial Design for Cognitive-Inclusive Generative AI
Two student cohorts designed cognitively accessible GenAI interfaces, leading to structural and experiential scaffolding concepts.
CV-Arena: An Open Benchmark for Instructional Computer Vision Problem Solving with Human-AI Collaborative Preferences
Fangzhou Lin, Peiran Li, Lingyu Xu, Wenjing Chen +11 more
The paper introduces CV-Arena, a large-scale open benchmark for instructional computer vision, demonstrating that professional-grade image editing requires advanced capabilities in physical reasoning…
A Usable and Secure Bengali CAPTCHA
This paper proposes and implements the first Bengali text CAPTCHA mechanism for native Bengali-speaking users, achieving high security and usability.
A Framework of User Experience Principles for Human-AI Agent Interaction in the Workplace
This paper identifies and validates eight core UX principles for human-AI agent interaction in the workplace using a multi-method approach.
When Stopping Fails: Rethinking Minimal Risk Conditions through Human-Interactive Autonomous Driving for Safe Transportation Systems
This paper analyzes incidents involving autonomous vehicles (AVs) and identifies gaps in current safety paradigms, suggesting the need for human-interactive autonomy.
When Prompts Become Payloads: A Framework for Mitigating SQL Injection Attacks in Large Language Model-Driven Applications
The paper proposes a multi-layered security framework to detect and mitigate SQL injection attacks that occur when Large Language Models translate natural language prompts into database queries.
The Role of Vehicles in Digital Forensic Investigations: A Structured Synthesis of Digital Vehicle Forensic Characteristics
This paper proposes a conceptual framework for digital vehicle forensics (DVF) investigation, addressing the challenges of identifying, preserving, and acquiring digital evidence from modern vehicles.
An LLM-Based Assistance System for Intuitive and Flexible Capability-Based Planning
The paper proposes a hybrid LLM-based assistance system that enhances traditional capability-based planning by providing natural language interaction, interpretability, and flexible knowledge model ad…
Understanding Student Experiences with TLS Client Authentication
This study empirically demonstrates that even highly technical students struggle significantly with the long-term usability and security understanding of Mutual TLS (mTLS) client authentication, sugge…
Interaction-Centered Intelligence: Toward Interaction as the Primary Unit of Analysis in Co-Creative AI and Human-AI Systems
This paper proposes shifting the focus of AI research from isolated computational outputs to interaction dynamics, establishing 'Interaction-Centered Intelligence' as the primary framework for underst…
Usability of Passwordless Authentication in Wi-Fi Networks: A Comparative Study of Passkeys and Passwords in Captive Portals
This study comparatively assessed the usability of passkeys versus passwords for Wi-Fi captive portal authentication, finding that while passkeys were perceived as more usable, captive portal limitati…
Towards Human-Like Interactive Speech Recognition With Agentic Correction and Semantic Evaluation
Zixuan Jiang, Yanqiao Zhu, Peng Wang, Qinyuan Chen +7 more
The paper proposes Agentic ASR, a closed-loop framework that treats ASR as a multi-turn refinement task, significantly improving semantic accuracy over traditional token-level metrics.
Ramulator 2.1: A Composable Memory System Simulator for Modern DRAM Systems
Haocong Luo, F. Nisa Bostancı, Ataberk Olgun, Maria Makeenkova +3 more
Ramulator 2.1 is an updated DRAM simulator with improved support for modern features, better usability, and comprehensive testing.
VulGD: A LLM-Powered Dynamic Open-Access Vulnerability Graph Database
VulGD is a dynamic, open-access graph database that aggregates cybersecurity data from multiple sources and uses LLM embeddings to improve vulnerability representation and risk assessment.
Quantitative Movement Testing: Measuring Patient Movements from a Single Smartphone Video
The paper developed and validated Quantitative Movement Testing (QMT), a computer vision pipeline that accurately extracts 3D kinematic biomarkers from standard smartphone videos, providing an objecti…
Efficient Chain-of-Modality Reasoning via Progressive Compression for Spoken Language Models
Pengchao Feng, Chao-Hong Tan, Qian Chen, Wen Wang +2 more
This paper proposes Efficient Chain-of-Modality Reasoning (ECoM Reasoning), a framework to improve reasoning ability in spoken language models (SLMs) for mathematical question answering tasks by compr…
MOOSE-Copilot: A Web-Based Interactive Assistant for Unified Exploratory and Fine-Grained Scientific Hypothesis Discovery
MOOSE-Copilot is a novel web-based framework that unifies scientific hypothesis discovery by formalizing human-AI interaction, significantly improving performance over autonomous LLM baselines.