Daniela Cavallo
Papers
1
Total Citations
14
H-Index
1
About
Daniela Cavallo is a leading researcher at the intersection of cognitive ergonomics, human factors, and the aging workforce. Her work centers on understanding how individuals process vast amounts of digital information to perform complex cognitive and motor tasks, with a particular focus on age-related changes in ability. Her most cited paper, "Human Cognitive and Motor Abilities in the Aging Workforce: An Information-Based Model" (2020), synthesizes experimental studies to propose a novel framework for modeling how older workers adapt to information-rich environments. This foundational work has garnered 14 citations and is shaping new approaches to workplace design and training. Cavallo’s research has direct implications for inclusive technology development, helping to create systems that accommodate diverse cognitive and motor profiles. Her contributions are increasingly vital as societies grapple with aging populations and the demands of the digital economy, positioning her as a key voice in the future of human-centered work.
Research Focus
Key Achievements
Top Papers
- 1