Enrico Dolza
Papers
1
Total Citations
17
H-Index
1
About
Enrico Dolza is a researcher at the intersection of affective computing, cultural heritage, and human-computer interaction. His work focuses on developing intelligent systems that enhance visitor engagement in museums by leveraging emotional and commonsense reasoning. His most cited paper, "A sensemaking system for grouping and suggesting stories from multiple affective viewpoints in museums" (2023, 17 citations), introduces a novel framework that uses Plutchik’s wheel of emotions and the TCL commonsense reasoning model to group user-generated stories based on affective perspectives. This contribution enables museums to offer personalized, emotionally resonant narrative experiences, transforming how visitors connect with cultural artefacts. Dolza’s research is notable for bridging computational emotion modeling with real-world cultural applications, demonstrating how AI can enrich human storytelling. His work has been recognized for its innovative approach to sensemaking in informal learning environments, laying groundwork for more empathetic and adaptive digital heritage tools.
Research Focus
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Top Papers
- 1