Papers
3
Total Citations
68
H-Index
3
About
Hao Xi is a multidisciplinary researcher whose work bridges human-robot interaction, computational empathy, and computer vision. Most prominently, Xi has established a significant presence in the emerging field of socially assistive robotics, investigating how robotic agents can authentically convey and elicit empathy through storytelling. Their 2022 study on socially assistive robots as storytellers has garnered 38 citations, underscoring its influence in shaping how researchers think about emotional engagement in human-robot interaction. Building on this, their 2021 work on modeling user empathy elicited by robot storytellers — with 23 citations — advanced computational frameworks for measuring and interpreting human empathic responses to artificial agents, contributing meaningfully to the design of emotionally intelligent systems that support human well-being. More recently, Xi has expanded their research horizons into computer vision, with a 2024 contribution on multi-pedestrian tracking using relative location mapping, demonstrating versatility across AI subfields with applications in autonomous vehicles, robotics, and public safety. Together, Xi's body of work reflects a researcher committed to making artificial agents more socially aware, emotionally resonant, and perceptually capable — qualities increasingly vital as AI systems integrate into everyday human environments.
Research Focus
Key Achievements
Top Papers
- 1Socially Assistive Robots as Storytellers that Elicit Empathy38 citations · 2022
- 2Modeling User Empathy Elicited by a Robot Storyteller23 citations · 2021
- 3