Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
awesome-HAI
A curated list of awesome Human-AI Interaction
https://github.com/bwang514/awesome-HAI
Last synced: 2 days ago
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Research Papers
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ACM Conference on Human Factors in Computing Systems (CHI)
- Co-Designing Checklists to Understand Organizational Challenges and Opportunities around Fairness in AI
- Resilient Chatbots: Repair Strategy Preferences for Conversational Breakdowns
- Re-examining Whether, Why, and How Human-AI Interaction Is Uniquely Difficult to Design
- Questioning the AI: Informing Design Practices for Explainable AI User Experiences
- Studying the Effects of Cognitive Biases in Evaluation of Conversational Agents
- Guidelines for Human-AI Interaction
- Caring for Vincent: A Chatbot for Self-compassion
- What Makes a Good Conversation? Challenges in Designing Truly Conversational Agents
- Metaphoria: An Algorithmic Companion for Metaphor Creation
- Implicit Communication of Actionable Information in Human-AI teams
- AI-Mediated Communication: How the Perception that Profile Text was Written by AI Affects Trustworthiness
- Designing Theory-Driven User-Centric Explainable AI
- Will You Accept an Imperfect AI? Exploring Designs for Adjusting End-user Expectations of AI Systems
- ATMSeer: Increasing Transparency and Controllability in Automated Machine Learning
- Resilient Chatbots: Repair Strategy Preferences for Conversational Breakdowns
- In a Silent Way: Communication Between AI and Improvising Musicians Beyond Sound
- Beyond Dyadic Interactions: Considering Chatbots as Community Members
- An Exploration of Speech-Based Productivity Support in the Car
- Exploring Factors that Influence Connected Drivers to (Not) Use or Follow Recommended Optimal Routes
- SmartEye: Assisting Instant Photo Taking via Integrating User Preference with Deep View Proposal Network
- Hands Holding Clues for Object Recognition in Teachable Machines
- Gamut: A Design Probe to Understand How Data Scientists Understand Machine Learning Models
- Cognitive Load Estimation in the Wild
- Emotional Dialogue Generation using Image-Grounded Language Models
- Evorus: A Crowd-powered Conversational Assistant Built to Automate Itself Over Time
- Deep Thermal Imaging: Proximate Material Type Recognition in the Wild through Deep Learning of Spatial Surface Temperature Patterns
- Trends and Trajectories for Explainable, Accountable and Intelligible Systems: An HCI Research Agenda
- UX Design Innovation: Challenges for Working with Machine Learning as a Design Material
- A New Chatbot for Customer Service on Social Media
- Multimodal Classification of Moderated Online Pro-Eating Disorder Content
- People with Visual Impairment Training Personal Object Recognizers: Feasibility and Challenges
- Augur: Mining Human Behaviors from Fiction to Power Interactive Systems
- Unremarkable AI: Fitting Intelligent Decision Support into Critical, Clinical Decision-Making Processes
- Novice-AI Music Co-Creation via AI-Steering Tools for Deep Generative Models
- What is AI Literacy? Competencies and Design Considerations
- Predicting Human Performance in Vertical Menu Selection Using Deep Learning
- Touch Your Heart: A Tone-aware Chatbot for Customer Care on Social Media
- Mapping Machine Learning Advances from HCI Research to Reveal Starting Places for Design Innovation
- “Like Having a Really bad PA”: The Gulf between User Expectation and Experience of Conversational Agents
- OralCam: Enabling Self-Examination and Awareness of Oral Health Using a Smartphone Camera
- HindSight: Enhancing Spatial Awareness by Sonifying Detected Objects in Real-Time 360-Degree Video
- “Trust Us”: Mobile Phone Use Patterns Can Predict Individual Trust Propensity
- EmoG: Supporting the Sketching of Emotional Expressions for Storyboarding
- Mental Models of AI Agents in a Cooperative Game Setting
- Norms Matter: Contrasting Social Support Around Behavior Change in Online Weight Loss Communities
- ExtVision: Augmentation of Visual Experiences with Generation of Context Images for a Peripheral Vision Using Deep Neural Network
- Cognitive Load Estimation in the Wild
- Predicting Mid-Air Interaction Movements and Fatigue Using Deep Reinforcement Learning
- Modeling Human Visual Search Performance on Realistic Webpages Using Analytical and Deep Learning Methods
- Reinforcement Learning for the Adaptive Scheduling of Educational Activities
- Unremarkable AI: Fitting Intelligent Decision Support into Critical, Clinical Decision-Making Processes
- A Human-Centered Evaluation of a Deep Learning System Deployed in Clinics for the Detection of Diabetic Retinopathy
- Touch Your Heart: A Tone-aware Chatbot for Customer Care on Social Media
- Analysis and Modeling of Grid Performance on Touchscreen Mobile Devices
- Automated Class Discovery and One-Shot Interactions for Acoustic Activity Recognition
- DeepWriting: Making Digital Ink Editable via Deep Generative Modeling
- All Work and No Play? Conversations with a Question-and-Answer Chatbot in the Wild
- RecipeScape: An Interactive Tool for Analyzing Cooking Instructions at Scale
- “Trust Us”: Mobile Phone Use Patterns Can Predict Individual Trust Propensity
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Neural Information Processing Systems (NeurIPS)
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Communications of the ACM (CACM)
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arXiv
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ACM User Interface and Software Technology Symposium (UIST)
- Decoding Surface Touch Typing from Hand-Tracking
- MonoEye: Multimodal Human Motion Capture System Using A Single Ultra-Wide Fisheye Camera
- DeepFisheye: Near-Surface Multi-Finger Tracking Technology Using Fisheye Camera
- Rescribe: Authoring and Automatically Editing Audio Descriptions
- C-Face: Continuously Reconstructing Facial Expressions by Deep Learning Contours of the Face with Ear-mounted Miniature Cameras
- Interactive Exploration and Refinement of Facial Expression using Manifold Learning
- Brain Relevance Feedback for Interactive Image Generation
- Predicting Visual Importance Across Graphic Design Types
- Back-Hand-Pose: 3D Hand Pose Estimation for a Wrist-worn Camera via Dorsum Deformation Network
- Skyline: Interactive In-Editor Computational Performance Profiling for Deep Neural Network Training
- Mallard: Turn the Web into a Contextualized Prototyping nvironment for Machine Learning
- Type, Then Correct: Intelligent Text Correction Techniques for Mobile Text Entry Using Neural Networks
- Learning Cooperative Personalized Policies from Gaze Data
- Ubicoustics: Plug-and-Play Acoustic Activity Recognition
- Lip-Interact: Improving Mobile Device Interaction with Silent Speech Commands
- The Exploratory Labeling Assistant: Mixed-Initiative Label Curation with Large Document Collections
- Adasa: A Conversational In-Vehicle Digital Assistant for Advanced Driver Assistance Features
- Everyday Eye Contact Detection Using Unsupervised Gaze Target Discovery
- Learning Visual Importance for Graphic Designs and Data Visualizations
- Rico: A Mobile App Dataset for Building Data-Driven Design Applications
- Interacting with Soli: Exploring Fine-Grained Dynamic Gesture Recognition in the Radio-Frequency Spectrum
- Learning Visual Importance for Graphic Designs and Data Visualizations
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ACM Annual Meeting of the Intelligent User Interfaces Community (IUI)
- When People and Algorithms Meet: Assessing User-reported Problems to Inform Support in Intelligent Everyday Applications
- What AI can do for me: Evaluating Machine Learning Interpretations in Cooperative Play
- SearchLens: Composing and Capturing Complex User Interests for Exploratory Search
- Proactive Information Retrieval by Capturing Search Intent from Primary Task Context
- A Review of User Interface Design for Interactive Machine Learning
- BigBlueBot: Teaching Strategies for Successful Human-Agent Interactions
- The Effect of Explanations and Algorithmic Accuracy on Visual Recommender Systems of Artistic Images
- To Explain or not to Explain: the Effects of Personal Characteristics when Explaining Music Recommendations
- AlterEgo: A Personalized Wearable Silent Speech Interface
- Creative Writing with a Machine in the Loop: Case Studies on Slogans and Stories
- Detecting Memory-Based Interaction Obstacles with a Recurrent Neural Model of User Behavior
- User Modelling for Avoiding Overfitting in Interactive Knowledge Elicitation for Prediction
- Every Little Movement Has a Meaning of Its Own: Using Past Mouse Movements to Predict the Next Interaction
- An Active Tangible User Interface Framework for Teaching and Learning Artificial Intelligence
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ACM Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT/UbiComp)
- Ensembles of Deep LSTM Learners for Activity Recognition using Wearables
- A weakly supervised activity recognition framework for real-time synthetic biology laboratory assistance
- Crowd-AI Camera Sensing in the Real World
- TurnsMap: Enhancing Driving Safety at Intersections with Mobile Crowdsensing and Deep Learning
- AdaRF: Adaptive RFID-based Indoor Localization Using Deep Learning Enhanced Holography
- Deep Multi-Task Learning Based Urban Air Quality Index Modelling
- What Will You Do for the Rest of the Day? An Approach to Continuous Trajectory Prediction
- GymCam: Detecting, Recognizing and Tracking Simultaneous Exercises in Unconstrained Scenes
- DeepType: On-Device Deep Learning for Input Personalization Service with Minimal Privacy Concern
- Performance Characterization of Deep Learning Models for Breathing-based Authentication on Resource-Constrained Devices
- Online Deep Ensemble Learning for Predicting Citywide Human Mobility
- Deep Room Recognition Using Inaudible Echos
- SenseGAN: Enabling Deep Learning for Internet of Things with a Semi-Supervised Framework
- DeActive: Scaling Activity Recognition with Active Deep Learning
- Low-resource Multi-task Audio Sensing for Mobile and Embedded Devices via Shared Deep Neural Network Representations
- Ensembles of Deep LSTM Learners for Activity Recognition using Wearables
- Deep ROI-Based Modeling for Urban Human Mobility Prediction
- Multimodal Deep Learning for Activity and Context Recognition
- RDeepSense: Reliable Deep Mobile Computing Models with Uncertainty Estimations
- Mitigating Bystander Privacy Concerns in Egocentric Activity Recognition with Deep Learning and Intentional Image Degradation
- SpotGarbage: smartphone app to detect garbage using deep learning
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ACM International Symposium on Wearable Computers (ISWC)
- Understanding and improving recurrent networks for human activity recognition by continuous attention
- On attention models for human activity recognition
- Deepauth: in-situ authentication for smartwatches via deeply learned behavioural biometrics
- CNN-based sensor fusion techniques for multimodal human activity recognition
- Deep convolutional feature transfer across mobile activity recognition domains, sensor modalities and locations
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IEEE Transactions on Visualization and Computer Graphics (Proceedings of IEEE InfoVis, VAST, SciVis)
- CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization
- explAIner: A Visual Analytics Framework for Interactive and Explainable Machine Learning
- DeepVID: Deep Visual Interpretation and Diagnosis for Image Classifiers via Knowledge Distillation
- SANVis: Visual Analytics for Understanding Self-Attention Networks
- Seq2seq-Vis: A Visual Debugging Tool for Sequence-to-Sequence Models
- Evaluating 'Graphical Perception' with CNNs
- InkPlanner: Supporting Prewriting via Intelligent Visual Diagramming
- Summit: Scaling Deep Learning Interpretability by Visualizing Activation and Attribution Summarizations
- DQNViz: A Visual Analytics Approach to Understand Deep Q-Networks
- Visual Analytics in Deep Learning: An Interrogative Survey for the Next Frontiers
- LSTMVis: A Tool for Visual Analysis of Hidden State Dynamics in Recurrent Neural Networks
- GAN Lab: Understanding Complex Deep Generative Models using Interactive Visual Experimentation
- ActiVis: Visual Exploration of Industry-Scale Deep Neural Network Models
- CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization
- SANVis: Visual Analytics for Understanding Self-Attention Networks
- Seq2seq-Vis: A Visual Debugging Tool for Sequence-to-Sequence Models
- Evaluating 'Graphical Perception' with CNNs
- InkPlanner: Supporting Prewriting via Intelligent Visual Diagramming
- Summit: Scaling Deep Learning Interpretability by Visualizing Activation and Attribution Summarizations
- DQNViz: A Visual Analytics Approach to Understand Deep Q-Networks
- LSTMVis: A Tool for Visual Analysis of Hidden State Dynamics in Recurrent Neural Networks
- GAN Lab: Understanding Complex Deep Generative Models using Interactive Visual Experimentation
- ActiVis: Visual Exploration of Industry-Scale Deep Neural Network Models
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Computer Graphics Forum (Proceedings of EuroVis and EuroGraphics)
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Fairness, Accountability, and Transparency in Machine Learning (FAT/ML)
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Association for the Advancement of Artificial Intelligence (AAAI)
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International Conference on Machine Learning (ICML)
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Educational Data Mining (EDM)
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Proceedings of the National Academy of Sciences (PNAS)
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Distill
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ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW)
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Courses
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arXiv
- Software Engineering for AI-Enabled Systems (SE4AI)
- Human-AI Interaction
- Intelligent User Interfaces Studio
- Crowdsourcing & Crowd-AI Systems
- Human-centered Machine Learning
- Designing AI to Cultivate Human Well-Being - Fei Li |
- Data and Visual Analytics
- Intelligent Decision Support: History, Paradigms, Applications
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Programming Languages
Categories
Sub Categories
ACM Conference on Human Factors in Computing Systems (CHI)
59
IEEE Transactions on Visualization and Computer Graphics (Proceedings of IEEE InfoVis, VAST, SciVis)
23
ACM User Interface and Software Technology Symposium (UIST)
22
ACM Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT/UbiComp)
21
ACM Annual Meeting of the Intelligent User Interfaces Community (IUI)
14
arXiv
12
ACM International Symposium on Wearable Computers (ISWC)
5
ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW)
3
Proceedings of the National Academy of Sciences (PNAS)
3
Neural Information Processing Systems (NeurIPS)
3
Distill
2
Association for the Advancement of Artificial Intelligence (AAAI)
2
Communications of the ACM (CACM)
2
Computer Graphics Forum (Proceedings of EuroVis and EuroGraphics)
2
International Conference on Machine Learning (ICML)
1
Fairness, Accountability, and Transparency in Machine Learning (FAT/ML)
1
Educational Data Mining (EDM)
1