Diana Nicoleta Popa
Papers
1
Total Citations
3
H-Index
1
About
Diana Nicoleta Popa is a leading researcher in human-computer interaction, specializing in user experience and affective computing within task-oriented dialog (TOD) systems. Her work addresses a critical gap in modern AI: detecting and mitigating user frustration in real-world conversational agents. In her highly influential paper, “Stupid robot, I want to speak to a human!” (2024, 3 citations), Popa pioneers methods to identify subtle cues of user dissatisfaction that go beyond standard sentiment analysis. She argues that traditional emotion detection fails to capture the nuanced implications of frustration in practical TOD applications, such as customer service bots. By developing frameworks that prioritize user engagement and retention, Popa’s contributions directly impact the design of more empathetic and responsive AI. Her research is essential for students and engineers aiming to create systems that not only understand language but also the emotional state of their users, ultimately bridging the gap between robotic efficiency and human-centered interaction.
Research Focus
Key Achievements
Top Papers
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