Hao-Tien Lewis Chiang
Biographic Data
| ID | 5120411 |
|---|---|
| NAME | Hao-Tien Lewis Chiang |
| GIVEN NAMES | Hao-Tien Lewis |
| FAMILY NAME | Chiang |
| SIGNATURE | CHIANG H L |
| AFFILIATIONS | Google DeepMind, Google Inc, Mountain View, California, USA |
| ORCID | 0000-0001-5418-6371 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Predicting Human Perceptions of Robot Performance during Navigation Tasks
Understanding human perceptions of robot performance is crucial for designing socially intelligent robots that can adapt to human expectations. Current approaches often rely on surveys, which can disrupt ongoing human–robot interactions. As an alternative, we explore predicting people’s perceptions of robot performance using non-verbal behavioral cues and machine learning techniques. We contribute the SEAN TOGETHER Dataset consisting of observati…
Principles and Guidelines for Evaluating Social Robot Navigation Algorithms
A major challenge to deploying robots widely is navigation in human-populated environments, commonly referred to as social robot navigation . While the field of social navigation has advanced tremendously in recent years, the fair evaluation of algorithms that tackle social navigation remains hard because it involves not just robotic agents moving in static environments but also dynamic human agents and their perceptions of the appropriateness of…
No prominent works on this page.
Predicting Human Perceptions of Robot Performance during Navigation Tasks
Understanding human perceptions of robot performance is crucial for designing socially intelligent robots that can adapt to human expectations. Current approaches often rely on surveys, which can disrupt ongoing human–robot interactions. As an alternative, we explore predicting people’s perceptions of robot performance using non-verbal behavioral cues and machine learning techniques. We contribute the SEAN TOGETHER Dataset consisting of observati…
Principles and Guidelines for Evaluating Social Robot Navigation Algorithms
A major challenge to deploying robots widely is navigation in human-populated environments, commonly referred to as social robot navigation . While the field of social navigation has advanced tremendously in recent years, the fair evaluation of algorithms that tackle social navigation remains hard because it involves not just robotic agents moving in static environments but also dynamic human agents and their perceptions of the appropriateness of…
Artificial Intelligence (2 works) · Computer Science (2 works) · Human–computer interaction (2 works) · Psychology (2 works) · Robot (2 works) · Social Robot Interaction and HRI (2 works) · Benchmarking (1 work) · Computer vision (1 work) · Context (archaeology (1 work) · Evacuation and Crowd Dynamics (1 work)