Nicolas Wiecek

Papers

Total Citations

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About

Nicolas Wiecek is a researcher whose work sits at the intersection of natural language processing, human-robot interaction, and conversational AI. His primary research focuses on enhancing the emotional intelligence of open-domain conversational agents, with a particular emphasis on sentiment analysis within dynamic, real-world dialogue systems. In his most cited work, "Sentiment Analysis for Open Domain Conversational Agent" (2021), Wiecek investigates the applicability of common sentiment analysis models to human-robot interaction, specifically using a dataset derived from user interactions with the Alana system—a notable Alexa Prize socialbot. By evaluating which models are most appropriate for the task, he provides critical insights into how conversational agents can better perceive and respond to user emotions, a key challenge in creating more natural and engaging interactions. While his citation count is still growing, his work contributes to the foundational engineering of emotionally aware dialogue systems, bridging the gap between sentiment analysis and practical deployment in open-domain settings.