The Journey or the Destination: The Impact of Transparency and Goal Attainment on Trust in Human-Robot Teams

• Published in: ACM transactions on human-robotic interaction Vol. 14; no. 2; pp. 1 - 23
• Main Authors: Kox, Esther S., van den Boogaard, Juul, Turjaka, Vesa, Kerstholt, José H.
• Format: Journal Article
• Language: English
• Published: New York, NY ACM 25.12.2024
• Subjects: Applied computing; Auditory feedback; Computer systems organization; Empirical studies in collaborative and social computing; Empirical studies in HCI; Experimentation; General and reference; Graphical user interfaces; Human-centered computing; Laboratory experiments; Psychology; Robotics; User studies; Human-Autonomy Teaming; Transparency; Trust; Outcome; Delegation
• ISSN: 2573-9522; 2573-9522
• DOI: 10.1145/3702245

As robots gain autonomy, human-robot task delegation can become more goal-oriented; specifying what to do rather than how. This can lead to unexpected robot behaviour. We investigated the effect of transparency and outcome on the perceived trustworthiness of a robot that deviates from the expected manner to reach a delegated goal. Participants (N \(=\) 82) engaged in a virtual military mission as a Human-Robot Team using a 2 \(\times\) 2 between-subjects design (low vs. high transparency, positive vs. negative outcome). Participants received training on the expected manner to reach the mission’s goal. In the actual mission, the robot deviated from the planned path. We manipulated whether the robot explained its deviation and whether the outcome was better or worse than the original plan. Results showed that transparency contributed to higher and more stable levels of trust, without increasing subjective workload. While the robot’s deviation led to a violation of trust in the low transparency condition, trust remained stable in the high transparency condition, indicating a buffering effect of transparency on trust in case of unexpected behaviour. The impact of outcome on trust was consistent across transparency conditions. Our findings underscore the role of transparency as a tool for fostering human-robot trust.