Eliran Itzhak
Papers
4
Total Citations
57
H-Index
3
About
Eliran Itzhak is a leading researcher in human-robot interaction (HRI), with a focused expertise on the role of politeness in shaping user perceptions and behaviors. His major contributions center on empirically testing Lakoff's politeness theory within the context of non-humanoid robots, moving beyond human-like agents to explore how even simple, task-oriented machines can benefit from socially aware communication. In his landmark multi-experiment study (2022, 45 citations), Itzhak conducted eight experiments manipulating three levels of robot politeness during a table-setting task, demonstrating that polite robots are perceived more favorably and elicit greater compliance. He further advanced the field by examining how cultural background and gender influence older adults' responses to polite versus impolite robot behavior (2022, 4 citations), highlighting the need for inclusive design. With a cumulative citation count approaching 60, Itzhak’s work is foundational for developing socially intelligent robots that can interact effectively across diverse user groups. His research not only bridges social science theory with robotics engineering but also provides actionable guidelines for designing more acceptable and trustworthy robotic assistants.
Research Focus
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