Xiangyu Peng

Papers

1

Total Citations

2

H-Index

1

About

Xiangyu Peng is a researcher at the intersection of artificial intelligence, human-robot interaction, and computational creativity. Their work explores how AI systems can engage in imaginative play and narrative generation, pushing the boundaries of what it means for machines to be creative. In their notable 2023 paper "Ambient Adventures: Teaching ChatGPT on Developing Complex Stories," Peng investigates how large language models can be guided to construct rich, interactive narratives that mirror the spontaneity of human pretend play. This research has implications for developing more personified robots capable of engaging with real-world objects as props in virtual scenarios, bridging the gap between physical environments and digital storytelling. While still early in their career, Peng's contributions are gaining attention, with their most-cited work accumulating citations that signal growing interest in this novel area. By focusing on the cognitive and creative processes underlying story generation, Peng is helping to shape a future where AI can participate in open-ended, collaborative play—a key step toward more natural and engaging human-robot interaction.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Ambient Adventures: Teaching ChatGPT on Developing Complex Stories
2 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 4

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago