Wavelength.AI: Extending the Collaborative Game Wavelength as a Testbed for Studying Shared Understanding in Human–Agent Collaboration
Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence. Demo Track. Pages 8466-8470.
https://doi.org/10.24963/ijcai.2026/981
Keywords
- AI: Agent-based and Multi-agent Systems
- AI: Humans and AI
Abstract
AI's increasing role as a personal agent assisting knowledge workers in everyday tasks underscores the need to investigate how to help human–agent teams build a shared understanding. We extend the collaborative "mind-reading" game Wavelength to include an AI teammate, presenting the first demonstration of an LLM capable of playing this game. Based on our agent–agent play experiments, we developed Wavelength.AI, which implements two strategies to support shared understanding: an initial team grounding conversation and post-game reflective explanations. We interpret higher team scores as evidence for better shared understanding in a preliminary user study with 24 human–AI teams. Our findings reveal that Wavelength.AI can help researchers evaluate and design different strategies to shape human-agent teams' shared understanding. Human players can see if they are on the same wavelength with AI and view our demo video today at https://play-wavelength-ai.com.
@inproceedings{ijcai2026p981,
title = {Wavelength.AI: Extending the Collaborative Game Wavelength as a Testbed for Studying Shared Understanding in Human–Agent Collaboration},
author = {Morrison, Katelyn and Gonzalez, Gabriel Enrique and Ashktorab, Zahra and Riemer, Matt and Anderson, Andrew and Bouneffouf, Djallel and Weisz, Justin D.},
booktitle = {Proceedings of the Thirty-Fifth International Joint Conference on
Artificial Intelligence, {IJCAI-26}},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
editor = {Diego Calvanese},
pages = {8466--8470},
year = {2026},
month = {8},
note = {Demo Track},
doi = {10.24963/ijcai.2026/981},
url = {https://doi.org/10.24963/ijcai.2026/981},
}
TY - CPAPER TI - Wavelength.AI: Extending the Collaborative Game Wavelength as a Testbed for Studying Shared Understanding in Human–Agent Collaboration AU - Morrison, Katelyn AU - Gonzalez, Gabriel Enrique AU - Ashktorab, Zahra AU - Riemer, Matt AU - Anderson, Andrew AU - Bouneffouf, Djallel AU - Weisz, Justin D. T2 - Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence, IJCAI-26 PB - International Joint Conferences on Artificial Intelligence Organization PY - 2026 SP - 8466 EP - 8470 DO - 10.24963/ijcai.2026/981 UR - https://doi.org/10.24963/ijcai.2026/981 ER -Copied
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