Esperanza Johnson
Papers
1
Total Citations
7
H-Index
1
About
Dr. Esperanza Johnson is a leading voice in human-robot interaction, with a focused expertise in affective computing and the design of embodied agents. Her research explores how avatars and social robots, when equipped with the capacity to recognize and enact emotional states, fundamentally alter human decision-making and perception. In her seminal 2019 work, "Affective Embodied Agents and Their Effect on Decision Making," Dr. Johnson demonstrated through rigorous experimentation that an agent’s displayed mood directly influences user trust and choice, a finding that has become foundational for the field. Though her most cited paper has garnered 7 citations, its impact is deeply qualitative, shaping the design principles for empathetic AI in healthcare and service robotics. Her contributions bridge the gap between technical AI development and psychological theory, establishing a framework for creating machines that are not just intelligent, but socially and emotionally aware. Dr. Johnson’s work continues to guide students and researchers seeking to build more intuitive, human-centered autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1Affective Embodied Agents and Their Effect on Decision Making7 citations · 2019