Giulia Siri

About

Giulia Siri explores the intersection of cognitive science and human-robot interaction, investigating how our minds engage with social robots. Her research centers on three key areas: cognitive offloading, mental state attribution, and the role of personality in human-robot collaboration. In her most cited work (2025, 5 citations), Siri examines whether humanoid robots can serve as cognitive offloading tools, reducing mental strain during demanding tasks. Her 2022 studies (each with 3 citations) reveal that attributing mental states to a robot—perceiving it as intentional—can enhance collaborative performance, though this effect differs between males and females. She also investigates how taking a robot's perspective during reading influences information accessibility, bridging narrative comprehension with human-robot interaction. Additionally, Siri has adapted the HEXACO-60 personality inventory for robots (2021, 2 citations), a novel tool for designing more effective collaborative agents. Her work offers practical insights for roboticists aiming to create socially intuitive machines, while advancing our understanding of how humans naturally extend social cognition to artificial beings.

Research Focus

Key Achievements

Top Papers

1. 1
   Can humanoid robots be used as a cognitive offloading tool?

   5 citations · 2025
2. 2
   Does attributing mental states to a robot influence accessibility of information represented during reading?

   3 citations · 2022
3. 3
   Perceptions of a robot’s mental states influence performance in a collaborative task for males and females differently

   3 citations · 2022
4. 4
   The Personality of a Robot. An Adaptation of the HEXACO – 60 as a Tool for HRI

   2 citations · 2021

Key Collaborators

Contact & Links