
HHAI 2023: Augmenting Human Intellect
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This book presents the proceedings of HHAI2023, the 2nd International Conference on Hybrid Human-Artificial Intelligence, held from 26-30 June 2023, in Munich, Germany. The HHAI international conference series is focused on the study of artificially intelligent systems that cooperate synergistically, proactively, responsibly and purposefully with humans, amplifying rather than replacing human intelligence, and invites contributions from various fields, including AI, human-computer interaction, the cognitive and social sciences, computer science, philosophy, among others. A total of 78 submissions were received for the main conference track, and most papers were reviewed by at least three reviewers. The overall final acceptance rate was 43%, with 14 contributions accepted as full papers, 14 as working papers, and 6 as extended abstracts. The papers presented here cover topics including interactive hybrid agents; hybrid intelligence for decision support; hybrid intelligence for health; and values such as fairness and trust in hybrid intelligence. We further accepted 17 posters and 4 demos as well as 8 students to the first HHAI doctoral consortium this year. The authors of 4 working papers and 2 doctoral consortium submissions opted for not publishing their submissions to allow a later full submission, resulting in a total of 57 papers included in this proceedings
Addressing all aspects of AI systems that assist humans and emphasizing the need for adaptive, collaborative, responsible, interactive, and human-centered artificial intelligence systems which can leverage human strengths and compensate for human weaknesses while considering social, ethical, and legal considerations, the book will be of interest to all those working in the field.
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Content
- Intro
- Title Page
- Preface
- About the Conference
- Contents
- Main Track
- Developing Team Design Patterns for Hybrid Intelligence Systems
- Designing Closed-Loop Models for Task Allocation
- Human Factors in Interactive Online Machine Learning
- On the Interdependence of Reliance Behavior and Accuracy in AI-Assisted Decision-Making
- A Conceptual Model for Implementing Explainable AI by Design: Results of an Empirical Study
- Review on the Application Areas of Decision-Making Algorithms in Smart Homes
- Acquiring Semantic Knowledge for User Model Updates via Human-Agent Alignment Dialogues. An Exploratory Focus Group Study
- A Hybrid Intelligence Approach to Training Generative Design Assistants: Partnership Between Human Experts and AI Enhanced Co-Creative Tools
- Hybrid Collective Intelligence for Decision Support in Complex Open-Ended Domains
- Visualizing Deep Neural Networks with Topographic Activation Maps
- Interacting with Large Language Models: A Case Study on AI-Aided Brainstorming for Guesstimation Problems
- What Can I Do to Help You?. A Formal Framework for Agents Reasoning About Behavior Change Support for People
- The Equity Framework: Fairness Beyond Equalized Predictive Outcomes
- Virtual Support for Real-World Movement: Using Chatbots to Overcome Barriers to Physical Activity
- Value-Aware Active Learning
- Electrifying Obstacle Avoidance: Enhancing Teleoperation of Robots with EMS-Assisted Obstacle Avoidance
- How Displaying AI Confidence Affects Reliance and Hybrid Human-AI Performance
- Legal-Ethical Challenges and Technological Solutions to e-Health Data Consent in the EU
- Organizations' Interpersonal Activity Knowledge Representation
- Design of a Human-in-the-Loop Centered AI-Based Clinical Decision Support System for Professional Care Planning
- Towards Explainable Automatic Knowledge Graph Construction with Human-in-the-Loop
- Ethical Preferences in the Digital World: The EXOSOUL Questionnaire
- A Prototype Hybrid Prediction Market for Estimating Replicability of Published Work
- Who's a Good Robot?!" Designing Human-Robot Teaching Interactions Inspired by Dog Training
- Egocentric Hierarchical Visual Semantics
- Assisting the Assistant: A Cobot for Voice Customer Support
- Co-Performing Music with AI: Real-Time Performance Control Using Speech and Gestures
- Reinforcement Learning Requires Human-in-the-Loop Framing and Approaches
- Towards Robots That Meet Users' Need for Explanation
- Value-Based Hybrid Intelligence
- Poster and Demo Track
- Inferring Values via Hybrid Intelligence
- Towards Simple Hybrid Language Model Reasoning Through Human Explanations Enhanced Prompts
- Using Multiverse Analysis to Evaluate the Influence of Model Design Decisions on Algorithmic Fairness
- Don't You Agree with My Ethics? Let's Negotiate!
- Somax2 - A Distributed Co-Creative System for Human-Machine Co-Improvisation
- Hybrid Intelligence - Human-AI Co-Evolution and Learning in Multirealities (HI)
- PAIRADS: Hybrid Interaction Between Humans and AI in Radiology
- A Testbed for Cognitively Plausibly Bartering Agents
- XAIProcessLens: A Counterfactual-Based Dashboard for Explainable AI in Process Industries
- Challenges and Findings in Creating Smart Assistants for Mixed Reality Training Apps
- Deep BCI of Pain Decoding from fNIRS
- Augmented Brainstorming with AI" - Research Approach for Identifying Design Criteria for Improved Collaborative Idea Generation Between Humans and AI
- RadioMe: Adaptive Radio to Support People with Mild Dementia in Their Own Home
- CollEagle
- Tangible Human-AI Interaction for Collocated Collaboration
- ResumeTailor: Improving Resume Quality Through Co-Creative Tools
- Quantifying Cooperation Between Rule-Based Hanabi Agents Using Information Theory
- Functional Requirements for Interactive Bias-Audit Tools
- A Multi-Dimensional Development and Deployment Framework for Hybrid Intelligence
- Developing and Validating Tools for the Automated Analysis and Enhancement of Online Discussions
- Building Appropriate Trust in AI: The Significance of Integrity-Centered Explanations
- WeHeart: A Personalized Recommendation Device for Physical Activity Encouragement in Cardiac Rehabilitation
- Doctoral Consortium Track
- Representation Learning for Semantic Scene Understanding
- Using Non-Monotonic Logics to Create a Dynamic Framework for a Behavior Support Agent
- Towards Responsible AI: Developing Explanations to Increase Human-AI Collaboration
- Designing the Built Environment Through Hybrid Intelligence
- How Physicians and Patients Interact with Electronic Health Data: A Human-Computer Interaction Perspective
- Neurosymbolic Narrative Generation for Cultural Heritage
- Subject Index
- Author Index
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