Manisha Natarajan
Biographic Data
| ID | 5132571 |
|---|---|
| NAME | Manisha Natarajan |
| GIVEN NAMES | Manisha |
| FAMILY NAME | Natarajan |
| SIGNATURE | NATARAJAN M |
| AFFILIATIONS | Georgia Institute of Technology |
| ORCID | 0000-0001-7583-9685 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Concerning Trends in Likert Scale Usage in Human-robot Interaction
As robots become more prevalent, the importance of the field of human-robot interaction (HRI) grows accordingly. As such, we should endeavor to employ the best statistical practices in HRI research. Likert scales are commonly used metrics in HRI to measure perceptions and attitudes. Due to misinformation or honest mistakes, many HRI researchers do not adopt best practices when analyzing Likert data. We conduct a review of psychometric literature …
Coordinating Human-Robot Teams with Dynamic and Stochastic Task Proficiencies
As robots become ubiquitous in the workforce, it is essential that human-robot collaboration be both intuitive and adaptive. A robot’s ability to coordinate team activities improves based on its ability to infer and reason about the dynamic (i.e., the “learning curve”) and stochastic task performance of its human counterparts. We introduce a novel resource coordination algorithm that enables robots to schedule team activities by (1) actively char…
No prominent works on this page.
Coordinating Human-Robot Teams with Dynamic and Stochastic Task Proficiencies
As robots become ubiquitous in the workforce, it is essential that human-robot collaboration be both intuitive and adaptive. A robot’s ability to coordinate team activities improves based on its ability to infer and reason about the dynamic (i.e., the “learning curve”) and stochastic task performance of its human counterparts. We introduce a novel resource coordination algorithm that enables robots to schedule team activities by (1) actively char…
Concerning Trends in Likert Scale Usage in Human-robot Interaction
As robots become more prevalent, the importance of the field of human-robot interaction (HRI) grows accordingly. As such, we should endeavor to employ the best statistical practices in HRI research. Likert scales are commonly used metrics in HRI to measure perceptions and attitudes. Due to misinformation or honest mistakes, many HRI researchers do not adopt best practices when analyzing Likert data. We conduct a review of psychometric literature …
Computer Science (2 works) · Human-Automation Interaction and Safety (2 works) · Occupational Health and Safety Research (2 works) · Applied Psychology (1 work) · Artificial Intelligence (1 work) · Behavioral Health and Interventions (1 work) · Data science (1 work) · Engineering (1 work) · Human–computer interaction (1 work) · Human–robot interaction (1 work)