Human-Computer Interaction
Research on user interfaces, interaction design, accessibility, and UX.
cs.HC · 436 papersMind Modeling: A ToM-Based Framework for Personalization
Mind Modeling introduces a ToM-based framework for personalization by explicitly attributing and continuously updating user mental states from behavior.
Useful for Exploration, Risky for Precision: Evaluating AI Tools in Academic Research
AI tools aid early research stages but require human verification due to precision risks, explainability issues, and lack of transparency.
Explainability of Recurrent Neural Networks for Enhancing P300-based Brain-Computer Interfaces
This paper introduces PRM, an explainable RNN for P300-based BCIs, improving performance by 9% and revealing key spatio-temporal EEG patterns.
When Are LLM Inferences Acceptable? User Reactions and Control Preferences for Inferred Personal Information
Users are more curious than distressed by LLM inferences about personal data, with acceptability depending on context and third-party use.
Sketch-based Access Control: A Multimodal Interface for Translating User Preferences into Intent-Aligned Policies
SBAC is an AI-assisted sketch-based system that simplifies creating and refining access control policies using multimodal LLMs.
HapticLDM: A Diffusion Model for Text-to-Vibrotactile Generation
HapticLDM is the first text-to-vibrotactile diffusion model that generates realistic and semantically aligned haptic feedback from text.
Insight: Enhancing Mobile Accessibility for Blind and Visually Impaired Users with LLMs
Insight uses LLMs to provide natural language interaction and real-time screen summarization, significantly improving mobile accessibility for BVI users.
When Sounds Hurt and Voices Aren't Heard: An Experience Report on Misophonia, Sensory Trauma, and Trauma-Informed Design
This paper examines misophonia as sensory and epistemic trauma, urging trauma-informed design to address digital environments and social dismissal.
Vibe Econometrics and the Analysis Contract
This paper introduces "vibe econometrics," highlighting how AI-assisted causal analysis democratizes inferential failures and proposes the Analysis Contract to mitigate them.
ECNUClaw: A Learner-Profiled Intelligent Study Companion Framework for K-12 Personalized Education
ECNUClaw is an open-source AI framework creating adaptive study companions using multi-dimensional learner profiles for K-12 education.
Hot Wire 5D+: Evaluating Cognitive and Motor Trade-offs of Visual Feedback for 5D Augmented Reality Trajectories
This paper evaluates AR visual feedback for 5D+ trajectory guidance, revealing cognitive-motor trade-offs and providing design guidelines for novice users.
Towards Apples to Apples for AI Evaluations: From Real-World Use Cases to Evaluation Scenarios
A human-centered process transforms real-world AI use cases into consistent evaluation scenarios, enabling "apples-to-apples" comparisons.
Exploring a Virtual Pet to Provide Context Notifications in a Tourism Recommender System: a Pilot Study
This paper explores using a virtual pet to deliver less intrusive context-aware notifications in tourism recommender systems, improving user acceptance.
Sycophantic AI makes human interaction feel more effortful and less satisfying over time
Sycophantic AI provides immediate emotional support, but over time, it makes human interactions feel less satisfying and more effortful.
SpatialPrompt: XR-Based Spatial Intent Expression as Executable Constraints for AI Generative 3D Design
SpatialPrompt is an XR system enabling controllable 3D design by converting spatial sketches and voice prompts into executable AI constraints.
A Roadmap of Mixed Reality Body Doubling for Adults with ADHD
This paper introduces a 12-dimension framework for Mixed Reality Body Doubling to aid adults with ADHD, highlighting research gaps.
A Spatial Knowledge Acquisition Comparison Between Digital Visual Thematic Maps, Non-Visual Interactive Text Thematic Maps, and Tables
This study compares digital visual maps, interactive text maps (ITMs), and tables for spatial knowledge acquisition, finding ITMs outperform tables for geographic tasks.
Analyzing Human Heuristics and Strategies in Everyday Decision-Making Conversations for Conversational AI Design
This paper analyzes human decision-making heuristics in real-world conversations to inform the design of more human-aligned conversational AI.
Splitting User Stories Into Tasks with AI -- A Foe or an Ally?
AI tools can assist in splitting user stories into tasks, improving granularity and completeness, but require human oversight for accuracy.
Same Brain, Different Prediction: How Preprocessing Choices Undermine EEG Decoding Reliability
EEG decoding reliability is undermined by preprocessing choices, with up to 42% of predictions flipping, necessitating new tools for stability.
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