ReviewCurrent robotics reports2020
Trust in Robots: Challenges and Opportunities.
Review in Current robotics reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Conventions and research challenges in considering trust with socially assistive robots for older adults.Frontiers in robotics and AI · 2025Pooled it
- Humans vs. Robots: Utilization of pointing cues and the mediators of trust in nonverbal communication.Computers in human behavior. Artificial humans · 2026Article
- Toward a Compositional Theory of Trust in Embodied Intelligence: A QNLP Framework for Modeling Context, Interaction, and Trustworthiness.Biomimetics (Basel, Switzerland) · 2026Article
- Persuasion, pride and prejudice: factors associated with students' resistance to a social robot's incorrect mathematical solution.Frontiers in robotics and AI · 2026Article
- Beyond Binary Decisions: Evaluating the Effects of AI Error Type on Trust and Performance in AI-Assisted Tasks.Human factors · 2025Article
- From Trust in Automation to Trust in AI in Healthcare: A 30-Year Longitudinal Review and an Interdisciplinary Framework.Bioengineering (Basel, Switzerland) · 2025Review
- Artificial Intelligence and Assistive Robotics in Healthcare Services: Applications in Silver Care.International journal of environmental research and public health · 2025Review
- TICK: A Knowledge Processing Infrastructure for Cognitive Trust in Human-Robot Interaction.International journal of social robotics · 2025Article
- New colleague or gimmick hurdle? A user-centric scoping review of the barriers and facilitators of robots in hospitals.PLOS digital health · 2024Article
- Socially adaptive cognitive architecture for human-robot collaboration in industrial settings.Frontiers in robotics and AI · 2024Article
- A review of mathematical models of human trust in automation.Frontiers in neuroergonomics · 2023Review
- Ethics and Automated Systems in the Health Domain: Design and Submission of a Survey on Rehabilitation and Assistance Robotics to Collect Insiders' Opinions and Perception.Healthcare (Basel, Switzerland) · 2022Article
- Article
- Hurry Up, We Need to Find the Key! How Regulatory Focus Design Affects Children's Trust in a Social Robot.Frontiers in robotics and AI · 2021Article
- A public value-based model to understand patients' adoption of eHealth: Theoretical underpinnings and empirical application.Digital healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purpose of reviewTo assess the state-of-the-art in research on trust in robots and to examine if recent methodological advances can aid in the development of trustworthy robots. RECENT
findingsWhile traditional work in trustworthy robotics has focused on studying the antecedents and consequences of trust in robots, recent work has gravitated towards the development of strategies for robots to actively gain, calibrate, and maintain the human user's trust. Among these works, there is emphasis on endowing robotic agents with reasoning capabilities (e.g., via probabilistic modeling). SUMMARY: The state-of-the-art in trust research provides roboticists with a large trove of tools to develop trustworthy robots. However, challenges remain when it comes to trust in real-world human-robot interaction (HRI) settings: there exist outstanding issues in trust measurement, guarantees on robot behavior (e.g., with respect to user privacy), and handling rich multidimensional data. We examine how recent advances in psychometrics, trustworthy systems, robot-ethics, and deep learning can provide resolution to each of these issues. In conclusion, we are of the opinion that these methodological advances could pave the way for the creation of truly autonomous, trustworthy social robots.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.