![[2509.18008] Through the Lens of Human-Human Collaboration: A Configurable Research Platform for Exploring Human-Agent Collaboration](https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png){kind=logo}
[2509.18008] Through the Lens of Human-Human Collaboration: A Configurable Research Platform for Exploring Human-Agent Collaboration
Summary
This article presents a configurable research platform aimed at enhancing human-agent collaboration, exploring the dynamics of human-human collaboration principles in the context of intelligent systems.
Why It Matters
As AI systems evolve, understanding how humans interact with these agents is crucial for developing effective collaborative tools. This research platform allows for systematic exploration of these interactions, potentially leading to improved designs in human-computer interaction (HCI) and collaborative systems.
Key Takeaways
- The platform supports the adaptation of classic CSCW experiments for modern AI interactions.
- Three case studies demonstrate the platform's usability and research efficacy.
- Insights gained can inform the design of future human-agent collaborative systems.
Computer Science > Human-Computer Interaction arXiv:2509.18008 (cs) [Submitted on 22 Sep 2025 (v1), last revised 16 Feb 2026 (this version, v2)] Title:Through the Lens of Human-Human Collaboration: A Configurable Research Platform for Exploring Human-Agent Collaboration Authors:Bingsheng Yao, Jiaju Chen, Chaoran Chen, April Wang, Toby Jia-jun Li, Dakuo Wang View a PDF of the paper titled Through the Lens of Human-Human Collaboration: A Configurable Research Platform for Exploring Human-Agent Collaboration, by Bingsheng Yao and 5 other authors View PDF HTML (experimental) Abstract:Intelligent systems have traditionally been designed as tools rather than collaborators, often lacking critical characteristics that collaboration partnerships require. Recent advances in large language model (LLM) agents open new opportunities for human-LLM-agent collaboration by enabling natural communication and various social and cognitive behaviors. Yet it remains unclear whether principles of computer-mediated collaboration established in HCI and CSCW persist, change, or fail when humans collaborate with LLM agents. To support systematic investigations of these questions, we introduce an open and configurable research platform for HCI researchers. The platform's modular design allows seamless adaptation of classic CSCW experiments and manipulation of theory-grounded interaction controls. We demonstrate the platform's research efficacy and usability through three case studies: (1) two Shape F...
