Schenita Floyd

University of North Texas

Papers

1

Total Citations

2

H-Index

1

About

Schenita Floyd is a researcher whose work explores the critical intersection of human-computer interaction and communication design, with a particular focus on improving user engagement with automated systems. Her most-cited paper, "Identifying Variables that Improve Communication with Bots" (2019), addresses a persistent challenge in technology adoption: the reluctance many users feel when interacting with chatbots and AI agents. Floyd draws a compelling analogy between bot avoidance and the way people sidestep difficult colleagues, arguing that users will eventually engage when the perceived benefit outweighs the friction. Her contribution lies in isolating the specific variables—such as clarity, tone, and response relevance—that can transform a frustrating interaction into a productive one. While her citation count is modest, her work is foundational for designers and researchers seeking to humanize digital communication. Floyd’s research is particularly valuable for students and practitioners in user experience (UX) and human-centered AI, as it provides a framework for making bots less obnoxious and more collaborative. Her insights have implications for customer service, education, and healthcare, where effective bot communication can significantly impact user satisfaction and task success.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Identifying Variables that Improve Communication with Bots
2 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 0
🏛 Institutions: University of North Texas

Top Papers

  1. 1

Contact & Links

Available for collaboration
Content generated · 14 days ago