让机器人根据用户需求调整讲解难度和语言，提升服务可理解性。
Get It Right: Improving Comprehensibility with Adaptable Speech Expression of a Humanoid Service Robot
- 通过架构设计实现信息自动转为简单语言或外语
- 在真实公共服务场景中验证了讲解清晰度提升
- 适合需要个性化沟通的智能客服、导览机器人应用
随着人形服务机器人在公共场合（如引导访客、说明流程）日益普及，提升复杂信息对用户的可理解性变得尤为重要。本文以社交机器人Pepper为例，在实际公共服务环境中开展案例研究，提出一种应用架构，能够根据用户需求动态调整信息的表达难度与语言形式，支持将内容转换为通俗语言或另一种口语语言，从而增强信息接收的清晰度与适配性。
原文摘要 · Abstract (English)
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.
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