Lauren L. Wright
Papers
1
Total Citations
8
H-Index
1
About
Lauren L. Wright explores the intersection of human-robot interaction and child development, focusing on how social robots can be effectively integrated into educational settings. Her key research areas include the impact of robotic vocalization on children’s speech, learning, and social engagement, as well as the technological barriers—such as limitations in automated speech recognition—that hinder the widespread adoption of autonomous robots in classrooms. In her most-cited work, “How a Social Robot’s Vocalization Affects Children’s Speech, Learning, and Interaction” (2022, 8 citations), Wright demonstrates that even imperfect robotic vocalizations can significantly influence how children communicate and absorb information, challenging assumptions that full autonomy is necessary for effective human-robot interaction. This contribution highlights the potential for simpler, more reliable robotic designs to support early education. Wright’s research is particularly notable for bridging engineering constraints with developmental psychology, offering practical insights for designing robots that enhance, rather than disrupt, children’s learning experiences. Her work is a valuable resource for researchers and educators seeking to harness technology in age-appropriate, evidence-based ways.
Research Focus
Key Achievements
Top Papers
- 1