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.

翻译：随着非人形机器人日益渗透到各个领域，理解其设计对人类接受度的影响变得至关重要。尽管这类机器人应用广泛，但关于如何优化其设计以改善人机交互的研究却较为匮乏。我们通过两项综合性调查研究填补了这一空白。第一项调查揭示了机器人行为与物理属性、感知职业适配性以及性别归因之间的相关性，表明设计和感知性别均显著影响接受度。第二项调查深入探讨了不同性别线索对机器人设计的影响及其对人机交互的后续作用。研究结果强调，不同的性别线索可能增强或削弱交互舒适度。