Remotely Seeing Is Believing: How Trust in Cyber-Physical Systems Evolves Through Virtual Observation

2025-09-12

AI Summary

It remains unclear whether remote video observation—either prerecorded or live—can independently modulate human trust in cyber-physical systems (e.g., autonomous vehicles), absent physical interaction. Method: We developed a web-based virtual laboratory platform supporting synchronized video playback, real-time affective button responses, open-ended chat, and multidimensional trust measurement. Contribution/Results: Through an 80-participant user study, we provide the first empirical evidence that passive remote observation of system behavior alone significantly modulates trust levels. Exposure to positively or negatively valenced behavioral videos induced statistically significant, measurable increases or decreases in trust, respectively. These findings validate the causal role of virtual observation in trust evolution and establish a novel, scalable, low-cost paradigm for remote human–machine trust assessment, grounded in empirical data.

Technology Category

• Cognitive Modeling & Cognitive Systems: Social Cognition And Interaction
• Computer Vision: Video Understanding & Activity Analysis
• Humans and AI: Game Design — Virtual Humans, NPCs and Autonomous Characters

Application Category

• Responsible Web: Machine-in-the-loop, human agency and autonomy
• Economics, Online Markets and Human Computation: Trust and reliance of crowd workers and data experts on GenAI
• Security and Privacy: Large-scale security measurements

Abstract

In this paper, we develop a virtual laboratory for measuring human trust. Our laboratory, which is realized as a web application, enables researchers to show pre-recorded or live video feeds to groups of users in a synchronized fashion. Users are able to provide real-time feedback on these videos via affect buttons and a freeform chat interface. We evaluate our application via a quantitative user study ($N approx 80$) involving videos of cyber-physical systems, such as autonomous vehicles, performing positively or negatively. Using data collected from user responses in the application, as well as customized survey instruments assessing different facets of trust, we find that human trust in cyber-physical systems can be affected merely by remotely observing the behavior of such systems, without ever encountering them in person.

Problem

• Measuring human trust evolution in cyber-physical systems
• Developing virtual laboratory with synchronized video observation
• Assessing trust impact through remote system behavior observation

Innovation

• Virtual laboratory for measuring human trust
• Synchronized video feeds with real-time feedback
• Web application evaluating trust through observation