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Multi-device trust transfer: Can trust be transferred among multiple devices?

Kohei Okuoka¹, Kouichi Enami¹, Mitsuhiko Kimoto^1,2

¹Graduate School of Science and Technology, Keio University, Yokohama, Japan.

Frontiers in Psychology

|August 22, 2022

Summary

User trust can transfer between different autonomous systems, but this transfer is reduced when devices have distinct assigned roles. Understanding trust dynamics is key for human-robot collaboration.

Keywords:

human-AI cooperation human-agent interaction (HAI)multi-device trust trust transfer trusted AI virtual agent

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Area of Science:

Human-computer interaction
Robotics
Automation technology

Background:

Collaboration between humans and autonomous systems (e.g., robots, self-driving cars) is increasing.
User trust in autonomous systems is crucial for effective collaboration.
Prior research indicates trust transfer between tasks, but primarily for single or identical devices.

Purpose of the Study:

To investigate trust transfer among multiple, different autonomous devices.
To examine the influence of device similarity and attributed agency on trust transfer.

Main Methods:

Experimental study involving human participants interacting with multiple autonomous devices.
Manipulation of device similarity and attributed agency as key factors.
Measurement of trust levels before and after task observation and interaction.

Main Results:

Trust can indeed be transferred from one autonomous device to others, even if they are different.
Attributing distinct agencies (roles or responsibilities) to each device significantly reduced trust transfer.
Device similarity played a role, but attributed agency was a stronger moderator.

Conclusions:

Trust transfer among diverse autonomous systems is possible but can be intentionally managed.
Clearly defining distinct roles for each device can prevent unintended trust generalization.
Findings have implications for designing safer and more effective human-multi-robot systems.