The field of human-AI collaboration and intelligent systems is rapidly evolving, with a focus on developing more interactive, personalized, and engaging experiences. Recent research has explored the potential of AI-powered tools to support various applications, including mental health, education, and civic decision-making. A key direction in this field is the design of conversational agents and chatbots that can effectively interact with humans, understand their needs, and provide tailored support. Another important area of research is the development of frameworks and taxonomies to characterize and compare intelligent systems, such as the proposed Similarity Field Theory. Noteworthy papers in this area include 'Collective Voice: Recovered-Peer Support Mediated by An LLM-Based Chatbot for Eating Disorder Recovery', which introduced a chatbot that reproduces the support affordances of peer recovery narratives, and 'Similarity Field Theory: A Mathematical Framework for Intelligence', which formalizes the principles governing similarity values among entities and their evolution. Overall, the field is moving towards more human-centered and inclusive designs, with a focus on empowering users and promoting positive outcomes.
Advances in Human-AI Collaboration and Intelligent Systems
Sources
Collective Voice: Recovered-Peer Support Mediated by An LLM-Based Chatbot for Eating Disorder Recovery
Re-imagining Behavioral Sleep Medicine: Designing Conversational Sleep Diary and Visualization Tool
Where Do I 'Add the Egg'?: Exploring Agency and Ownership in AI Creative Co-Writing Systems
From Service-Oriented Computing to Metaverse Services: A Framework for Inclusive and Immersive Learning for Neurodivergent Students
Designing with Culture: How Social Norms Shape Trust and Preference in Health Chatbots
How important is language for human-like intelligence?
A Nascent Taxonomy of Machine Learning in Intelligent Robotic Process Automation
Campus AI vs. Commercial AI: How Customizations Shape Trust and Usage of LLM as-a-Service Chatbots
Relational Dissonance in Human-AI Interactions: The Case of Knowledge Work
AnchoredAI: Contextual Anchoring of AI Comments Improves Writer Agency and Ownership
Similarity Field Theory: A Mathematical Framework for Intelligence
Not a Collaborator or a Supervisor, but an Assistant: Striking the Balance Between Efficiency and Ownership in AI-incorporated Qualitative Data Analysis
Experimentally Testing AI-Powered Content Transformations on Student Learning
A Scoping Review of Mixed Initiative Visual Analytics in the Automation Renaissance
YAC: Bridging Natural Language and Interactive Visual Exploration with Generative AI for Biomedical Data Discovery
AlloyInter: Visualising Alloy Mixture Interpolations in t-SNE Representations
Similarity Field Theory: A General Mathematical Framework for Intelligence
Generative AI as a catalyst for democratic Innovation: Enhancing citizen engagement in participatory budgeting
A Longitudinal Randomized Control Study of Companion Chatbot Use: Anthropomorphism and Its Mediating Role on Social Impacts
Human-AI Narrative Synthesis to Foster Shared Understanding in Civic Decision-Making
Visual Tools for Input and Reflection in Social Work