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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

Michael C. Dorneich

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3 papers indexed here

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Sep 2026

Exploring AI Teammates’ Initiative in Supporting Teamwork Processes in Human-AI Teams

This study explores the impact of designing AI teammates to support teamwork processes in Human-AI Teams (HATs), comparing reactive and proactive support’s influence on teamwork experiences. HATs achieve shared objectives through taskwork and teamwork processes. Teamwork processes between humans are well documented, su...

Yvonne A. Farah, Michael C. Dorneich · 0 citations
Sep 2026

Human-AI Collaboration: Designing Generative AI and Training Users to Engage in Collaborative Patterns

Generative AI (GenAI) applications are increasingly adopted in co-creative workflows, taking an active role in design and development tasks. GenAI offers unique opportunities through content generation and synthesis across resources, yet it can lead to losses in co-creativity, due to limited collaborative interactions...

Yvonne A. Farah, Michael C. Dorneich · 0 citations
Open access Aug 2026

Interpreting FMS and SSQ Cybersickness Ratings via User Tolerance in Virtual Reality.

Cybersickness remains a persistent challenge limiting the usability of virtual reality (VR), yet commonly used subjective measures such as the Simulator Sickness Questionnaire (SSQ) and the Fast Motion Sickness (FMS) scale are often difficult to interpret in terms of user outcomes. In particular, there is limited guida...

Jonathan W. Kelly, Michael C. Dorneich, Stephen B. Gilbert · 1 citation

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