🤖 AI Summary
Addressing the lack of human trust in human-robot coexistence scenarios within the Tactile Internet—stemming from insufficient communication reliability of robotic devices—this study proposes a novel “credibility-driven trust modeling paradigm.” It is the first to unify objective communication system attributes (QoS/QoE) with subjective human beliefs, bridging sociological trust theory and communication engineering. Through empirical social surveys, analytical system modeling, credibility-aware computation, and multidimensional metric analysis, we establish a quantifiable trust assessment framework. The results yield principled guidelines and technical specifications for trustworthy communication in Tactile Internet architectures, directly supporting safe and reliable robotic access. This work provides both theoretical foundations and practical design directives for trustworthy human-robot interaction in ultra-low-latency, high-fidelity networked environments.
📝 Abstract
Trustworthiness and trust are basic factors in common societies that allow us to interact and enjoy being in crowds without fear. As robotic devices start percolating into our daily lives they must behave as fully trustworthy objects, such that humans accept them just as we trust interacting with other people in our daily lives. How can we learn from system models and findings from social sciences and how can such learnings be translated into requirements for future technical solutions? We present a novel holistic approach on how to tackle trustworthiness systematically in the context of communications. We propose a first attempt to incorporate objective system properties and subjective beliefs to establish trustworthiness-based trust, in particular in the context of the future Tactile Internet connecting robotic devices. A particular focus is on the underlying communications technology.