The Blending of Human and AI Work

The field of human-AI collaboration is rapidly advancing, with a growing focus on integrating AI into various aspects of work, including decision-making, communication, and creativity. Recent research has explored the potential of AI-assisted conversational interviewing, collaborative GenAI agents, and AI-generated feedback to enhance team effectiveness and cohesion. The future of work is likely to be characterized by a blending of human and AI capabilities, with AI augmenting human capabilities and transforming the way we work.

Noteworthy papers in this area include Interview AI-ssistant, which introduces a system for real-time human-AI collaboration in interview preparation and execution, and tAIfa, which presents a framework for providing personalized, automated feedback to teams and their members. These papers demonstrate the potential of AI to enhance human capabilities and improve outcomes in a variety of contexts.

Sources

The Future of Work is Blended, Not Hybrid

ChatNekoHacker: Real-Time Fan Engagement with Conversational Agents

Interview AI-ssistant: Designing for Real-Time Human-AI Collaboration in Interview Preparation and Execution

From Interaction to Collaboration: How Hybrid Intelligence Enhances Chatbot Feedback

Manifesting Architectural Subspaces with Two Mobile Robotic Partitions to Facilitate Spontaneous Office Meetings

TALLMesh: a simple application for performing Thematic Analysis with Large Language Models

AI-Assisted Conversational Interviewing: Effects on Data Quality and User Experience

AI Safety Should Prioritize the Future of Work

tAIfa: Enhancing Team Effectiveness and Cohesion with AI-Generated Automated Feedback

Optimizing SIA Development: A Case Study in User-Centered Design for Estuary, a Multimodal Socially Interactive Agent Framework

Rethinking trust in the digital age: An investigation of zero trust architecture's social consequences on organizational culture, collaboration, and knowledge sharing

Exploring Collaborative GenAI Agents in Synchronous Group Settings: Eliciting Team Perceptions and Design Considerations for the Future of Work

Promoting Real-Time Reflection in Synchronous Communication with Generative AI

The 2nd MERCADO Workshop at IEEE VIS 2025: Multimodal Experiences for Remote Communication Around Data Online

FeedQUAC: Quick Unobtrusive AI-Generated Commentary

LLMCode: Evaluating and Enhancing Researcher-AI Alignment in Qualitative Analysis

Towards User-Centred Design of AI-Assisted Decision-Making in Law Enforcement

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