Trust perception scale-HRI [Long version]
Modifié le 18/12/2025 à 08h59
This scale, of 40 items, was developed to provide a means to subjectively measure trust perceptions over time and across robotic domains.
When the scale is used as a pre-interaction measure, the participants should first be shown a picture of the robot they will be interacting with or provided a description of the task prior to completing the pre-interaction scale. This accounts for any mental model effects of robots and allows for comparison specific to the robot at hand.
For post-interaction measurement, the scale should be administered directly following the interaction.
To create the overall trust score, 5 items must first be reverse coded (incompetent, unresponsive, malfunction, require frequent maintenance, have errors). All items are then summed and divided by the total number of items (40). This provides an overall percentage of trust score.
While use of the 40 items scale is recommended, a 14 items subscale can be used to provide rapid trust measurement specific to measuring changes in trust over time, or during assessment with multiple trials or time restrictions. This subscale is specific to functional capabilities of the robot, and therefore may not account for changes in trust due to the feature-based antecedents of the robot.
Reference: Schaefer, K. E. (2016). Measuring trust in human robot interactions: Development of the “trust perception scale-HRI”. In Robust intelligence and trust in autonomous systems (pp. 191-218). Boston, MA: Springer US. https://d1wqtxts1xzle7.cloudfront.net/114178129/978-1-4899-7668-020240505-1-agu5dz-libre.pdf?1714934405=&response-content-disposition=inline%3B+filename%3DRobust_Intelligence_and_Trust_in_Autonom.pdf&Expires=1720525011&Signature=GiwTFX8RVqIoZ0hbY~O4fmCLoHrC4Zk6y-yviwJvsGZKm2pg7HiR3BNPjcyV4ROsD7TmigLEFsXIXf8UppjDyCRJWrbqyAFgpogdMr21TAWd9JakETZoju5qsSh8qgpmCQdR19PUJbtnb~DgcEdW7JpjjAYoY5A7h7aNXz97kUS0iHpRZaG-~1~ez4K82~5arEkL016b1QQUaaqk9Kk4A~j4qKbHg3fUST60QOKxwtzju1MQOscVJLX882NQmG03rhZ1jqAzb6VG4OnTjQL2hQP1eegcQk4j6TF1fTp0Q9idZo9LdQ7eq6yPro-8nCluVQ6w3bVUBc-45HPs43IjLg__&Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA#page=198
When the scale is used as a pre-interaction measure, the participants should first be shown a picture of the robot they will be interacting with or provided a description of the task prior to completing the pre-interaction scale. This accounts for any mental model effects of robots and allows for comparison specific to the robot at hand.
For post-interaction measurement, the scale should be administered directly following the interaction.
To create the overall trust score, 5 items must first be reverse coded (incompetent, unresponsive, malfunction, require frequent maintenance, have errors). All items are then summed and divided by the total number of items (40). This provides an overall percentage of trust score.
While use of the 40 items scale is recommended, a 14 items subscale can be used to provide rapid trust measurement specific to measuring changes in trust over time, or during assessment with multiple trials or time restrictions. This subscale is specific to functional capabilities of the robot, and therefore may not account for changes in trust due to the feature-based antecedents of the robot.
Reference: Schaefer, K. E. (2016). Measuring trust in human robot interactions: Development of the “trust perception scale-HRI”. In Robust intelligence and trust in autonomous systems (pp. 191-218). Boston, MA: Springer US. https://d1wqtxts1xzle7.cloudfront.net/114178129/978-1-4899-7668-020240505-1-agu5dz-libre.pdf?1714934405=&response-content-disposition=inline%3B+filename%3DRobust_Intelligence_and_Trust_in_Autonom.pdf&Expires=1720525011&Signature=GiwTFX8RVqIoZ0hbY~O4fmCLoHrC4Zk6y-yviwJvsGZKm2pg7HiR3BNPjcyV4ROsD7TmigLEFsXIXf8UppjDyCRJWrbqyAFgpogdMr21TAWd9JakETZoju5qsSh8qgpmCQdR19PUJbtnb~DgcEdW7JpjjAYoY5A7h7aNXz97kUS0iHpRZaG-~1~ez4K82~5arEkL016b1QQUaaqk9Kk4A~j4qKbHg3fUST60QOKxwtzju1MQOscVJLX882NQmG03rhZ1jqAzb6VG4OnTjQL2hQP1eegcQk4j6TF1fTp0Q9idZo9LdQ7eq6yPro-8nCluVQ6w3bVUBc-45HPs43IjLg__&Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA#page=198
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