As humanoid service robots are becoming more and more perceptible in public service settings for instance as a guide to welcome visitors or to explain a procedure to follow, it is desirable to improve the comprehensibility of complex issues for human customers and to adapt the level of difficulty of the information provided as well as the language used to individual requirements. This work examines a case study using a humanoid social robot Pepper performing support for customers in a public service environment offering advice and information. An application architecture is proposed that improves the intelligibility of the information received by providing the possibility to translate this information into easy language and/or into another spoken language.

翻译：随着仿人服务机器人在公共服务场景（例如作为迎宾向导或程序说明助手）中日益普及，提高复杂问题对人类用户的可理解性，并根据个体需求调整信息难度和语言表达水平变得尤为重要。本研究通过案例分析了仿人社交机器人Pepper在公共服务环境中为客户提供咨询与信息支持的应用。我们提出了一种应用架构，该架构通过将信息转换为简明语言和/或其他口语的可能性，显著提升了接收信息的可理解性。