Papers

3

Total Citations

73

H-Index

3

About

Alexis Jones is a pioneering researcher at the intersection of child-robot interaction and automated biotechnology. Her most influential work explores how social robots can serve as non-judgmental interviewers to elicit sensitive disclosures from children. In her landmark 2016 study (52 citations), Jones demonstrated that children aged 8–12 were more willing to disclose bullying experiences to a robot than to a human interviewer, revealing fewer socially desirable responses and richer detail—a finding with profound implications for forensic psychology and child welfare. She further examined children’s perceptions of robot cognition in her 2017 work (9 citations), showing that even simple guessing games can lead children to attribute mind-reading abilities to robots, raising important questions about trust and deception in human-robot interaction. Demonstrating remarkable versatility, Jones also leads cutting-edge work in bioengineering, as evidenced by her 2024 paper on developing robotic clusters for automated, scalable cell therapy manufacturing (12 citations). This dual expertise—spanning social robotics and biomedical automation—positions Jones as a unique voice in human-centered robotics, with her research informing both therapeutic interventions and life-saving medical manufacturing.

Research Focus

Key Achievements

3
H-Index
3
Papers
73
Total Citations
24
Avg Citations/Paper
🏆 Most Cited Paper
Using robots to interview children about bullying: Lessons learned from an exploratory study
52 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 39
🏛 Institutions: Mississippi State University, Massachusetts Institute of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago