The social robotics field has been growing in prominence. Many developed countries have begun to apply such robots in various fields, such as shopping reception, education, home companion, medical care, and security. However, expectations of social robots have also changed. In addition to performing their specific tasks, social robots are also expected to consider users’ emotional needs. Therefore, scholars have begun to explore robots’ social cues in an effort to enhance their role in society and enable them to provide higher-quality services. This study used the robot's voice type, head-light color, and application field as independent variables to discuss the optimal robot social cues for different applications and to provide a reference for future production and research. Education, shopping reception, and home companion applications were selected as the most common areas employing social robots. According to the vocal fundamental frequencies used in related studies, three voice types were included: male, female, and child. The three values for head-light color, namely warm, neutral, and cold colors, were set according to color temperature theory. The robot social attribute scale, with the addition of an acceptance component, was used to evaluate respondent perceptions. Results revealed that male voices provide users with the highest impression of competence, whereas children's voices have the lowest competence. However, results for the warmth component were completely different: in this aspect, children's voices had the highest evaluations and male voices the lowest. For head-light colors, neutral colors had the highest overall acceptance, the highest competence evaluation, and the lowest discomfort. The neutral color's warmth judgment was the same as that of the warm color, and its competence rating was the same as that of the cold color. For home companion robots, we recommend a child’s voice with neutral colors as the first choice, and a child’s voice with warm color as the second option. Because females rejected male voices, male voices are not recommended in home companion. For education and business, a male voice and neutral colors are the first choice. A female voice is also the second option. In cases with less focus on warmth impression but greater emphasis on competence impression, cold colors could be employed.

社会机器人技术领域的地位日益显着。许多发达国家已经开始在各种领域中使用这种机器人，例如购物接待，教育，家庭伴侣，医疗保健和安全性。但是，社交机器人的期望也发生了变化。除了执行特定任务外，社交机器人还应考虑用户的情感需求。因此，学者们开始探索机器人的社会暗示，以增强机器人在社会中的作用，并使他们能够提供更高质量的服务。这项研究使用机器人的声音类型，前灯颜色和应用领域作为自变量，以讨论针对不同应用的最佳机器人社交线索，并为将来的生产和研究提供参考。教育，购物接待，和家庭伴侣应用程序被选为使用社交机器人的最常见区域。根据相关研究中使用的人声基本频率，包括三种声音类型：男性，女性和儿童。根据色温理论设置前照灯颜色的三个值，即暖色，中性色和冷色。机器人的社会属性量表，加上接受组件，用于评估受访者的看法。结果显示，男性声音给用户的能力印象最高，而儿童声音却给用户的感觉最低。但是，温暖部分的结果完全不同：在这方面，儿童的声音评价最高，而男性的声音最低。对于前灯颜色，中性色具有最高的总体接受度，最高的能力评估和最低的不适感。中性色的温暖判断与温暖的颜色相同，其能力等级与寒冷的颜色相同。对于家庭伴侣机器人，我们建议儿童的声音为中性色为第一选择，儿童的声音为暖色为第二选择。由于女性拒绝男性声音，因此不建议在家庭伴侣中使用男性声音。对于教育和商业，男性声音和中性色是首选。女性的声音也是第二种选择。如果对温暖印象的关注较少，而对能力印象的关注较重，则可以使用冷色。暖色判断与暖色相同，其能力等级与冷色相同。对于家庭伴侣机器人，我们建议儿童的声音为中性色为第一选择，儿童的声音为暖色为第二选择。由于女性拒绝男性声音，因此不建议在家庭伴侣中使用男性声音。对于教育和商业，男性声音和中性色是首选。女性的声音也是第二种选择。如果对温暖印象的关注较少，而对能力印象的关注较重，则可以使用冷色调。暖色判断与暖色相同，其能力等级与冷色相同。对于家庭伴侣机器人，我们建议儿童的声音为中性色为第一选择，儿童的声音为暖色为第二选择。由于女性拒绝男性声音，因此不建议在家庭伴侣中使用男性声音。对于教育和商业，男性声音和中性色是首选。女性的声音也是第二种选择。如果对温暖印象的关注较少，而对能力印象的关注较重，则可以使用冷色。第二种选择是使用暖色调的儿童声音。由于女性拒绝男性声音，因此不建议在家庭伴侣中使用男性声音。对于教育和商业，男性声音和中性色是首选。女性的声音也是第二种选择。如果对温暖印象的关注较少，而对能力印象的关注较重，则可以使用冷色。第二种选择是使用暖色调的儿童声音。由于女性拒绝男性声音，因此不建议在家庭伴侣中使用男性声音。对于教育和商业，男性声音和中性色是首选。女性的声音也是第二种选择。如果对温暖印象的关注较少，而对能力印象的关注较重，则可以使用冷色调。