About

Joana Campos is a researcher at the forefront of human-robot interaction, specializing in the subtle dynamics of multiparty teamwork and conversational memory. Her work explores how robotic agents can use non-verbal cues—such as gaze responsiveness—to foster trust and coordination in group settings, as demonstrated in her highly cited 2022 study on robotic gaze in multiparty teamwork (7 citations). Campos also tackles the complex challenge of endowing artificial agents with conversational memory, investigating how robots can leverage past interactions to build rapport and social identity over time, a theme central to her 2018 paper on exploiting conversational memory in human-agent interaction (4 citations). By bridging robotics, social cognition, and linguistics, her research advances the design of more intuitive and socially aware AI. Campos’s contributions are particularly notable for their focus on real-world team dynamics, offering practical insights for developing robots that can collaborate seamlessly with humans in workplaces, healthcare, and education. Her work is essential reading for anyone interested in creating machines that not only understand but also remember and respond to the social fabric of human interaction.

Research Focus

Key Achievements

2
H-Index
2
Papers
11
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Robotic Gaze Responsiveness in Multiparty Teamwork
7 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento, Walt Disney (United States)

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago