The recent developments in the research area of human-AI interaction and multi-agent systems have shown a significant shift towards enhancing collaboration, transparency, and user engagement. There is a growing emphasis on creating systems that not only perform tasks efficiently but also communicate effectively with users, fostering trust and understanding. Innovations in swarm robotics and multi-human-swarm interaction are pushing the boundaries of scalability and real-world applicability, moving beyond laboratory settings to engage with the public in large-scale events. Additionally, the field is witnessing advancements in explainable AI (XAI), with a focus on how explanations impact decision-making and understanding, particularly in collective settings. The integration of non-verbal behaviors in virtual agents is also being explored to enhance user engagement in argumentative dialogues. Furthermore, the use of crowdsourcing for evaluating complex dialogue systems is being critically examined to ensure the quality and reliability of study results. Overall, the research is moving towards more interactive, transparent, and socially aware systems that can operate effectively in diverse and dynamic environments.
Enhancing Collaboration and Transparency in Human-AI Systems
Sources
Express Yourself: Enabling large-scale public events involving multi-human-swarm interaction for social applications with MOSAIX
Semantics and Spatiality of Emergent Communication
Let people fail! Exploring the influence of explainable virtual and robotic agents in learning-by-doing tasks
Unexploited Information Value in Human-AI Collaboration
Utilizing Human Behavior Modeling to Manipulate Explanations in AI-Assisted Decision Making: The Good, the Bad, and the Scary
Correcting User Decisions Based on Incorrect Machine Learning Decisions
AI-Spectra: A Visual Dashboard for Model Multiplicity to Enhance Informed and Transparent Decision-Making
Exploring the Impact of Non-Verbal Virtual Agent Behavior on User Engagement in Argumentative Dialogues
Factors in Crowdsourcing for Evaluation of Complex Dialogue Systems
Signaling and Social Learning in Swarms of Robots
Deliberative XAI: How Explanations Impact Understanding and Decision-Making of AI Novices in Collective and Individual Settings
Coverage-Constrained Human-AI Cooperation with Multiple Experts
Analysing Explanation-Related Interactions in Collaborative Perception-Cognition-Communication-Action
Could Humans Outshine AI in Visual Data Analysis?
Human-Robot Dialogue Annotation for Multi-Modal Common Ground
SCOUT: A Situated and Multi-Modal Human-Robot Dialogue Corpus
A Simulated real-world upper-body Exoskeleton Accident and Investigation