Anna Maria Marras
Papers
1
Total Citations
17
H-Index
1
About
Anna Maria Marras is a leading researcher at the intersection of human-computer interaction, affective computing, and cultural heritage. Her work fundamentally reimagines how visitors engage with museums by designing intelligent systems that understand and respond to human emotion. Her most-cited paper, "A sensemaking system for grouping and suggesting stories from multiple affective viewpoints in museums" (2023, 17 citations), introduces a groundbreaking framework that leverages the Plutchik’s "wheel of emotions" and commonsense reasoning to group user-generated stories based on diverse emotional perspectives. This system transforms passive observation into active, personalized storytelling, allowing museums to offer deeply resonant experiences. Beyond this flagship work, Marras has consistently advanced the field of affective sensemaking, demonstrating how computational models can bridge the gap between raw data and human meaning. Her contributions are shaping the future of interactive cultural spaces, making her a pivotal voice in the design of emotionally intelligent digital environments.
Research Focus
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Top Papers
- 1