Towards a Legibility Metric: How to Measure the Perceived Value of a Robot
Abstract
Our goal is to assess the perceived value of autonomous robots in human working and living environments. As a specific indicator we define legibility as an important prerequisite for high perceived value. Inspired by recommender systems, which also target the perceived value of products, we identify different measurements for explicit and implicit user feedback in a framework to compare different algorithms. Finally we propose the design of a specific study to measure the legibility of robot navigation behavior in dynamic situations.
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