Home /Research /Transparency Classification for HRI with Humanoid Service Robots
PERCEPTION

Transparency Classification for HRI with Humanoid Service Robots

Lejla Nukovic, Jérôme Kirchhoff, Oskar von Stryk

Year
2024
Citations
6

Abstract

As humanoid service robots are increasingly becoming part of our everyday life, their acceptance in society requires a general understanding of those robots. Transparency can be a means to establish this. Complementary to the general IEEE Standard 7001-2021, a new transparency classification for humanoid service robots is proposed in this work as a baseline for the goal-oriented definition of concrete transparency mechanisms. Here, Content Transparency and Interaction Transparency are introduced, separating transparency of service content information from effective communication and robot usage. Interaction Transparency is further subdivided to include interaction aspects unique to humanoid robots. Further, it integrates Traceability and Privacy. Overall, it covers a larger range of interaction aspects than common transparency models. The proposed transparency classification also supports the systematic investigation of individual transparency mechanism's influence on the interaction. For this, novel classification-specific scales should be developed to assess the perception of, e.g., Interaction Transparency.

Keywords

Transparency (behavior)Humanoid robotTraceabilityComputer scienceRobotHuman–computer interactionPerceptionService (business)Artificial intelligenceComputer security

Related papers

Browse all PERCEPTION papers