As non-humanoid robots increasingly permeate various sectors, understanding their design implications for human acceptance becomes paramount. Despite their ubiquity, studies on how to optimize their design for better human interaction are sparse. Our investigation, conducted through two comprehensive surveys, addresses this gap. The first survey delineated correlations between robot behavioral and physical attributes, perceived occupation suitability, and gender attributions, suggesting that both design and perceived gender significantly influence acceptance. Survey 2 delved into 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.

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