Awesome Human-AI Interaction

There has been a rising trend of applying Deep Learning, or AI, to solve Human-Computer Interaction problems. And it's awesome to see what problems HCI researchers are solving with deep learning and what challenges that occur when designing AI-infused interfaces! Therefore, we curated the list which so far includes research papers, ranging from high-level design guidelines for human-AI interaction to system papers utilizing deep learning, and courses from universities world wide.

Table of Contents

• Research Papers
• Courses

Research Papers

ACM Conference on Human Factors in Computing Systems (CHI)

Year	Paper
2019	Guidelines for Human-AI Interaction
2019	Caring for Vincent: A Chatbot for Self-compassion
2019	Unremarkable AI: Fitting Intelligent Decision Support into Critical, Clinical Decision-Making Processes
2019	What Makes a Good Conversation? Challenges in Designing Truly Conversational Agents
2019	Metaphoria: An Algorithmic Companion for Metaphor Creation
2019	Implicit Communication of Actionable Information in Human-AI teams
2019	AI-Mediated Communication: How the Perception that Profile Text was Written by AI Affects Trustworthiness
2019	Designing Theory-Driven User-Centric Explainable AI
2019	Will You Accept an Imperfect AI? Exploring Designs for Adjusting End-user Expectations of AI Systems
2019	ATMSeer: Increasing Transparency and Controllability in Automated Machine Learning
2019	Resilient Chatbots: Repair Strategy Preferences for Conversational Breakdowns
2019	In a Silent Way: Communication Between AI and Improvising Musicians Beyond Sound
2019	Beyond Dyadic Interactions: Considering Chatbots as Community Members
2019	An Exploration of Speech-Based Productivity Support in the Car
2019	Exploring Factors that Influence Connected Drivers to (Not) Use or Follow Recommended Optimal Routes
2019	SmartEye: Assisting Instant Photo Taking via Integrating User Preference with Deep View Proposal Network
2019	Hands Holding Clues for Object Recognition in Teachable Machines
2019	QuizBot: A Dialogue-based Adaptive Learning System for Factual Knowledge
2019	Gamut: A Design Probe to Understand How Data Scientists Understand Machine Learning Models
2019	Automation Accuracy Is Good, but High Controllability May Be Better
2018	All Work and No Play? Conversations with a Question-and-Answer Chatbot in the Wild
2018	Cognitive Load Estimation in the Wild
2018	Emotional Dialogue Generation using Image-Grounded Language Models
2018	DeepWriting: Making Digital Ink Editable via Deep Generative Modeling
2018	Evorus: A Crowd-powered Conversational Assistant Built to Automate Itself Over Time
2018	RecipeScape: An Interactive Tool for Analyzing Cooking Instructions at Scale
2018	ExtVision: Augmentation of Visual Experiences with Generation of Context Images for a Peripheral Vision Using Deep Neural Network
2018	HindSight: Enhancing Spatial Awareness by Sonifying Detected Objects in Real-Time 360-Degree Video
2018	Deep Thermal Imaging: Proximate Material Type Recognition in the Wild through Deep Learning of Spatial Surface Temperature Patterns
2018	Predicting Human Performance in Vertical Menu Selection Using Deep Learning
2018	Trends and Trajectories for Explainable, Accountable and Intelligible Systems: An HCI Research Agenda
2018	Touch Your Heart: A Tone-aware Chatbot for Customer Care on Social Media
2018	Mapping Machine Learning Advances from HCI Research to Reveal Starting Places for Design Innovation
2018	Analysis and Modeling of Grid Performance on Touchscreen Mobile Devices
2018	“Trust Us”: Mobile Phone Use Patterns Can Predict Individual Trust Propensity
2018	Norms Matter: Contrasting Social Support Around Behavior Change in Online Weight Loss Communities
2017	UX Design Innovation: Challenges for Working with Machine Learning as a Design Material
2017	A New Chatbot for Customer Service on Social Media
2017	Multimodal Classification of Moderated Online Pro-Eating Disorder Content
2017	People with Visual Impairment Training Personal Object Recognizers: Feasibility and Challenges
2016	Augur: Mining Human Behaviors from Fiction to Power Interactive Systems
2016	“Like Having a Really bad PA”: The Gulf between User Expectation and Experience of Conversational Agents

ACM User Interface and Software Technology Symposium (UIST)

Year	Paper
2019	Learning Cooperative Personalized Policies from Gaze Data
2018	Ubicoustics: Plug-and-Play Acoustic Activity Recognition
2018	Lip-Interact: Improving Mobile Device Interaction with Silent Speech Commands
2018	The Exploratory Labeling Assistant: Mixed-Initiative Label Curation with Large Document Collections
2018	Adasa: A Conversational In-Vehicle Digital Assistant for Advanced Driver Assistance Features
2017	Everyday Eye Contact Detection Using Unsupervised Gaze Target Discovery
2017	Learning Visual Importance for Graphic Designs and Data Visualizations
2017	Rico: A Mobile App Dataset for Building Data-Driven Design Applications
2016	Interacting with Soli: Exploring Fine-Grained Dynamic Gesture Recognition in the Radio-Frequency Spectrum

ACM Annual Meeting of the Intelligent User Interfaces Community (IUI)

Year	Paper
2019	When People and Algorithms Meet: Assessing User-reported Problems to Inform Support in Intelligent Everyday Applications
2019	What AI can do for me: Evaluating Machine Learning Interpretations in Cooperative Play
2019	SearchLens: Composing and Capturing Complex User Interests for Exploratory Search
2019	Proactive Information Retrieval by Capturing Search Intent from Primary Task Context
2019	A Review of User Interface Design for Interactive Machine Learning
2019	BigBlueBot: Teaching Strategies for Successful Human-Agent Interactions
2019	The Effect of Explanations and Algorithmic Accuracy on Visual Recommender Systems of Artistic Images
2019	To Explain or not to Explain: the Effects of Personal Characteristics when Explaining Music Recommendations
2018	AlterEgo: A Personalized Wearable Silent Speech Interface
2018	Creative Writing with a Machine in the Loop: Case Studies on Slogans and Stories
2018	Detecting Memory-Based Interaction Obstacles with a Recurrent Neural Model of User Behavior
2018	User Modelling for Avoiding Overfitting in Interactive Knowledge Elicitation for Prediction
2018	Every Little Movement Has a Meaning of Its Own: Using Past Mouse Movements to Predict the Next Interaction
2018	An Active Tangible User Interface Framework for Teaching and Learning Artificial Intelligence

ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW)

Year	Paper
2018	Fact or Fiction
2018	Data-Driven Proactive Policy Assurance of Post Quality in Community q&a Sites
2018	By the Community & For the Community: A Deep Learning Approach to Assist Collaborative Editing in Q&A Sites

ACM Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT/UbiComp)

Year	Paper
2019	TurnsMap: Enhancing Driving Safety at Intersections with Mobile Crowdsensing and Deep Learning
2019	AdaRF: Adaptive RFID-based Indoor Localization Using Deep Learning Enhanced Holography
2019	Deep Multi-Task Learning Based Urban Air Quality Index Modelling
2018	What Will You Do for the Rest of the Day? An Approach to Continuous Trajectory Prediction
2018	GymCam: Detecting, Recognizing and Tracking Simultaneous Exercises in Unconstrained Scenes
2018	Crowd-AI Camera Sensing in the Real World
2018	DeepType: On-Device Deep Learning for Input Personalization Service with Minimal Privacy Concern
2018	Performance Characterization of Deep Learning Models for Breathing-based Authentication on Resource-Constrained Devices
2018	Online Deep Ensemble Learning for Predicting Citywide Human Mobility
2018	Deep Room Recognition Using Inaudible Echos
2018	SenseGAN: Enabling Deep Learning for Internet of Things with a Semi-Supervised Framework
2018	DeActive: Scaling Activity Recognition with Active Deep Learning
2018	Deep ROI-Based Modeling for Urban Human Mobility Prediction
2017	Multimodal Deep Learning for Activity and Context Recognition
2017	RDeepSense: Reliable Deep Mobile Computing Models with Uncertainty Estimations
2017	Mitigating Bystander Privacy Concerns in Egocentric Activity Recognition with Deep Learning and Intentional Image Degradation
2017	Low-resource Multi-task Audio Sensing for Mobile and Embedded Devices via Shared Deep Neural Network Representations
2017	Ensembles of Deep LSTM Learners for Activity Recognition using Wearables
2016	A weakly supervised activity recognition framework for real-time synthetic biology laboratory assistance
2016	SpotGarbage: smartphone app to detect garbage using deep learning

ACM International Symposium on Wearable Computers (ISWC)

Year	Paper
2018	Understanding and improving recurrent networks for human activity recognition by continuous attention
2018	On attention models for human activity recognition
2018	Deepauth: in-situ authentication for smartwatches via deeply learned behavioural biometrics
2017	CNN-based sensor fusion techniques for multimodal human activity recognition
2016	Deep convolutional feature transfer across mobile activity recognition domains, sensor modalities and locations

IEEE Transactions on Visualization and Computer Graphics (Proceedings of IEEE InfoVis, VAST, SciVis)

Year	Paper
2019	Seq2seq-Vis: A Visual Debugging Tool for Sequence-to-Sequence Models
2019	Evaluating 'Graphical Perception' with CNNs
2019	InkPlanner: Supporting Prewriting via Intelligent Visual Diagramming
2018	Visual Analytics in Deep Learning: An Interrogative Survey for the Next Frontiers
2018	LSTMVis: A Tool for Visual Analysis of Hidden State Dynamics in Recurrent Neural Networks
2018	GAN Lab: Understanding Complex Deep Generative Models using Interactive Visual Experimentation
2017	ActiVis: Visual Exploration of Industry-Scale Deep Neural Network Models

Fairness, Accountability, and Transparency in Machine Learning (FAT/ML)

Year	Paper
2018	Achieving Fairness through Adversarial Learning: an Application toRecidivism Prediction

Association for the Advancement of Artificial Intelligence (AAAI)

Year	Paper
2019	Updates in Human-AI Teams: Understanding and Addressing the Performance/Compatibility Tradeoff
2019	Zero Shot Learning for Code Education:Rubric Sampling with Deep Learning Inference

Neural Information Processing Systems (NeurIPS)

Year	Paper
2015	Deep Knowledge Tracing

International Conference on Machine Learning (ICML)

Year	Paper
2015	Learning Program Embeddings to Propagate Feedback

Educational Data Mining (EDM)

Year	Paper
2015	Tuning Peer Grading

Proceedings of the National Academy of Sciences (PNAS)

Year	Paper
2019	Agency plus automation: Designing artificial intelligence into interactive systems
2019	Scaling up analogical innovation with crowds and AI
2019	Citizen science frontiers: Efficiency, engagement, and serendipitous discovery with human–machine systems

Communications of the ACM (CACM)

Year	Paper
2018	The Challenge of Crafting Intelligible Intelligence

Distill

Year	Paper
2019	AI Safety Needs Social Scientists
2017	Using Artificial Intelligence to Augment Human Intelligence

arXiv

Year	Paper
2017	Machine Teaching: A New Paradigm for Building Machine Learning Systems

Courses

There are also some awesome course resources discussing Intelligent User Interface/ Human-AI interaction

School	Course	Lecturer
Carnegie Mellon University	Human-AI Interaction	Jeff Bigham and Joseph Seering
Aalto University	Intelligent User Interfaces Studio	Kashyap Todi and Sunjun Kim
Penn State University	Crowdsourcing & Crowd-AI Systems	Kenneth Huang
University of Colorado Boulder	Human-centered Machine Learning	Chenhao Tan
Stanford University	Designing AI to Cultivate Human Well-Being	Jennifer Aaker and Fei-Fei Li
Georgia Tech	Data and Visual Analytics

Curators

The repo is jointly contributed by researchers from different institutions, please refer to the contributor page.

License