Papers
9
Total Citations
359
H-Index
8
About
Elaine Marsh is a pioneering researcher in human-robot interaction and multimodal interface design, whose work has significantly advanced how humans communicate with autonomous and intelligent robotic systems. Her most influential contribution, "Building a Multimodal Human-Robot Interface" (2001), has garnered over 219 citations and established foundational principles for designing interfaces that leverage natural human communication patterns — including speech, gesture, and natural language — when interacting with humanoid and autonomous robots. Marsh's research consistently explores the challenge of adjustable autonomy, investigating how intelligent robots can dynamically calibrate their independence based on situational demands, as demonstrated in her work on goal tracking and cooperative robot teams. Her earlier investigations into natural language interfaces across spatial environments, including air combat simulations and immersive virtual reality systems, revealed the versatility and complexity of spoken language integration across diverse applications. Marsh also examined the cognitive dimensions of human-robot interaction, notably how people select frames of reference during navigational tasks. Collectively, her body of work, spanning the late 1990s through the mid-2000s, helped lay essential groundwork for the natural, intuitive human-robot communication systems that researchers and engineers continue to build upon today.
Research Focus
Key Achievements
Top Papers
- 1Building a multimodal human-robot interface219 citations · 2001
- 2
- 3Communicating with Teams of Cooperative Robots30 citations · 2002
- 4Towards Seamless Integration in a Multi-modal Interface20 citations · 2000
- 5Natural language in four spatial interfaces16 citations · 1997
- 6Building a Multimodal Human-Robot Interface13 citations · 2001
- 7
- 8
- 9Using a Natural Language and Gesture Interface for Unmanned Vehicles4 citations · 2000