Alexander Hong
Papers
7
Total Citations
294
H-Index
4
About
Alexander Hong is a robotics and human-robot interaction (HRI) researcher whose work has significantly advanced the field of affective computing and socially intelligent robots. His research primarily focuses on enabling robots to detect, interpret, and respond to human emotional cues — a capability critical for meaningful and natural interactions between humans and machines. Hong's most influential contribution, a 2015 survey on autonomous human affect detection methods for social robots (122 citations), established a foundational reference for the HRI community. Building on this, his 2020 architecture for multimodal emotional HRI (112 citations) introduced a novel framework allowing robots to engage in genuinely bidirectional emotional communication — interpreting human affective signals while generating appropriate emotional responses of their own. His research extends into socially assistive robotics, with dedicated work on supporting vulnerable populations, including older adults experiencing isolation and individuals with cognitive impairments or autism. He has also explored multi-robot team coordination in urban search-and-rescue scenarios and contributed to robotic localization techniques. Collectively, Hong's publications have accumulated nearly 300 citations, reflecting his meaningful impact on designing robots that are not merely functional, but socially and emotionally aware partners for humans.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4Multimodal Affect Recognition for Assistive Human-Robot Interactions4 citations · 2017
- 5Affective Voice Recognition of Older Adults14 citations · 2016
- 6Human-Robot Interactions for Single Robots and Multi-Robot Teams4 citations · 2016
- 7Line-of-Sight Based 3D Localization of Parallel Kinematic Mechanisms3 citations · 2015