Hannah Bargel
Papers
1
Total Citations
8
H-Index
1
About
Hannah Bargel’s research sits at the compelling intersection of social cognition and human-robot interaction, probing how our minds process both human and artificial social agents. Her most-cited work, “Faces Do Not Attract More Attention Than Non-Social Distractors in the Stroop Task” (2021, 8 citations), challenges long-held assumptions about the automatic attentional capture of faces. By demonstrating that faces do not inherently command more attention than non-social distractors in a classic cognitive paradigm, Bargel’s findings have important implications for understanding attentional control and the limits of social prioritization. This work is particularly relevant as robots increasingly occupy social roles—receiving citizenship, serving as companions, and integrating into family life. Her research underscores the need to move beyond self-report measures in human-robot interaction, advocating for more rigorous cognitive assessments of how people truly engage with artificial agents. Bargel’s contributions offer a critical, empirically grounded perspective on the psychology of our emerging relationships with machines, making her a thoughtful voice in debates about attention, sociality, and the future of human-robot coexistence.
Research Focus
Key Achievements
Top Papers
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