B Faerber

Papers

Total Citations

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About

B. Faerber’s research lies at the intersection of human-robot interaction (HRI) and affective computing, with a focus on understanding and measuring emotional responses during human-machine encounters. In their most-cited work, “Emotion induction during human-robot interaction” (2009), Faerber pioneered a method to capture physiological correlates of emotions naturally arising in HRI contexts, moving beyond artificially induced basic emotions. This study, which has garnered 3 citations, provided foundational insights into how users’ autonomic nervous system responses—such as heart rate or skin conductance—can reveal subtle emotional states during robot interactions. By prioritizing ecologically valid emotional induction, Faerber’s work helped shape early frameworks for designing robots that can perceive and adapt to human affect. Their contributions are particularly notable for bridging experimental psychology and robotics, offering a rigorous, data-driven approach to a field often dominated by self-report measures. While their citation count is modest, this paper remains a key reference for researchers exploring real-time emotion detection in HRI, underscoring Faerber’s role in advancing empathetic, responsive robotic systems.