Daisy Ingle
Papers
1
Total Citations
2
H-Index
1
About
Daisy Ingle’s research sits at the fascinating intersection of human-robot interaction and cognitive psychology, exploring how a robot’s appearance influences human attention and cognitive load. Her most-cited work, “The Valley of non-Distraction: Effect of Robot's Human-likeness on Perception Load” (2021), builds on established psychological findings that human faces are uniquely distracting under high perceptual load. Ingle’s key contribution is extending this framework to robotics, hypothesizing that a robot’s degree of human-likeness—its position on the “uncanny valley”—modulates its distracting potential. This foundational paper, with 2 citations, marks an early but critical step in understanding how robot design can either aid or hinder human performance in shared environments. By bridging cognitive science and robotics, Ingle’s work has implications for designing robots that are less intrusive in high-stakes settings like healthcare or manufacturing. Her research is particularly notable for applying rigorous experimental psychology methods to emerging technology, offering a novel lens on how humans perceive and interact with increasingly human-like machines. For students and researchers, Ingle’s work is a compelling entry point into the cognitive dimensions of human-robot interaction.
Research Focus
Key Achievements
Top Papers
- 1