  As non-humanoid robots increasingly permeate various sectors, understanding
their design implications for human acceptance becomes paramount. Despite their
ubiquity, studies on how to improve human interaction are sparse. Our
investigation, conducted through two surveys, addresses this gap. The first
survey emphasizes non-humanoid robots and human perceptions about gender
attributions, suggesting that both design and perceived gender influence
acceptance. Survey 2 investigates the effects of varying gender cues on robot
designs and their consequent impacts on human-robot interactions. Our findings
highlighted that distinct gender cues can bolster or impede interaction
comfort.
