The Role of Robot Competence, Autonomy, and Personality on Trust Formation in Human–Robot Interaction

Human trust in social robots is a complex attitude based on cognitive and emotional evaluations, as well as a behavior, such as task delegation. Although previous research explored the features of robots that influence the overall trust attitude, it remains unclear whether these features affect behavioral trust. Additionally, there is limited investigation into which features of robots influence cognitive and emotional attitudes, and how these attitudes impact humans’ willingness to delegate new tasks to robots. This study examines the interplay between robot competence, autonomy, and personality trait of agreeableness and their impact on trust attitudes (cognitive and affective trust) and trust behavior (task delegation), within the context of task-oriented Human–Robot Interaction. Our findings indicate that robot competence is a key determinant of trust, influencing cognitive, affective, and behavioral trust. In contrast, robot agreeableness significantly impact only affective trust without affecting cognitive trust or trust behavior. In addition, autonomy was found to moderate the relationship between competence and cognitive trust, as well as between personality and affective trust. Finally, cognitive trust was found to positively influence task delegation, whereas affective trust did not show a significant effect. This article contributes to the literature on Human–Robot Trust by providing novel evidence that enhances the acceptance and effectiveness of social robots in collaborative scenarios.

Authors

Institutions

Publication Details

Journal
ACM Transactions on Human-Robot Interaction
Published
2025-12-30
DOI
https://doi.org/10.1145/3786770
Citations
1
Primary Topic
Social Robot Interaction and HRI
Type
article
Field-Weighted Citation Impact
2.44
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Role of Robot Competence, Autonomy, and Personality on Trust Formation in Human–Robot Interaction

Filippo Cantucci, Marco Marini, Rino Falcone
1 citations
ACM Transactions on Human-Robot Interaction
Social Robot Interaction and HRI
2.44
article

The Role of Robot Competence, Autonomy, and Personality on Trust Formation in Human–Robot Interaction

Filippo Cantucci, Marco Marini, Rino Falcone
article en
1 citations

Abstract

Human trust in social robots is a complex attitude based on cognitive and emotional evaluations, as well as a behavior, such as task delegation. Although previous research explored the features of robots that influence the overall trust attitude, it remains unclear whether these features affect behavioral trust. Additionally, there is limited investigation into which features of robots influence cognitive and emotional attitudes, and how these attitudes impact humans’ willingness to delegate new tasks to robots. This study examines the interplay between robot competence, autonomy, and personality trait of agreeableness and their impact on trust attitudes (cognitive and affective trust) and trust behavior (task delegation), within the context of task-oriented Human–Robot Interaction. Our findings indicate that robot competence is a key determinant of trust, influencing cognitive, affective, and behavioral trust. In contrast, robot agreeableness significantly impact only affective trust without affecting cognitive trust or trust behavior. In addition, autonomy was found to moderate the relationship between competence and cognitive trust, as well as between personality and affective trust. Finally, cognitive trust was found to positively influence task delegation, whereas affective trust did not show a significant effect. This article contributes to the literature on Human–Robot Trust by providing novel evidence that enhances the acceptance and effectiveness of social robots in collaborative scenarios.

ACM Transactions on Human-Robot InteractionVol. 15(3)
Institute of Cognitive Sciences and Technologies (IT)
Openalex Percentile: Top 8%
Social Robot Interaction and HRI
2.44
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.