World and Human Action Models towards gameplay ideation (Supplementary Video 1)

Channel:
Microsoft Research
Subscribers:
351,000
Published on ● Video Link: https://www.youtube.com/watch?v=pclsvLeTjjw


Duration: 0:00
566 views
23

Supplementary Video 1 provided with the article "World and Human Action Models towards gameplay ideation" (Kanervisto et al. 2025, https://www.nature.com/articles/s41586-025-08600-3). We show video case studies of WHAM-generated gameplay sequences that demonstrate consistency, diversity and persistency. An overview of the WHAM Demonstrator and how its features could support iterative tweaking and divergent thinking. This is illustrated through an example of generating and exploring gameplay sequences starting from a single promotional image.

See more at https://www.microsoft.com/en-us/research/video/world-and-human-action-models-towards-gameplay-ideation-supplementary-video-1/



Other Videos By Microsoft Research


2025-04-29AI for Africa’s Future: Innovation, Equity, and Impact
2025-04-22Hamming Quasi-Cyclic
2025-04-22Towards Safer Augmented Reality: Identifying, Evaluating, and Mitigating Security & Privacy Threats
2025-04-22Shining light on the learning brain: Estimating mental workload in a simulated flight task using opt
2025-03-24How to Compress Garbled Circuit Input Labels, Efficiently
2025-03-24Differentially Private Synthetic Data without Training
2025-03-21Celebrating Susan Dumais: Reflections on a Legacy of Research and Collaboration | Plenary Session
2025-03-21The Assistant: Situated Interaction Project (2012)
2025-03-20The AI Revolution in Medicine, Revisited: An Introduction
2025-03-10AI and Europe's history of reinvention
2025-03-03World and Human Action Models towards gameplay ideation (Supplementary Video 1)
2025-03-03LLMs vs. Torch 1.5: Why Your Code Assistant Can't Keep Up
2025-02-25Using LLMs for safe low-level programming | Microsoft Research Forum
2025-02-25AutoGen v0.4: Reimagining the foundation of agentic AI for scale and more | Microsoft Research Forum
2025-02-25Belief state transformers | Microsoft Research Forum
2025-02-25Magma: A foundation model for multimodal AI Agents | Microsoft Research Forum
2025-02-25Chimera: Accurate synthesis prediction by ensembling models with... | Microsoft Research Forum
2025-02-25AI for Precision Health: Learning the language of nature and patients | Microsoft Research Forum
2025-02-25Keynote: Multimodal Generative AI for Precision Health | Microsoft Research Forum
2025-02-21WHAM Demonstrator tutorial
2025-02-07Attestations over TLS 1.3 and ZKP