SynthesisSensors (Basel, Switzerland)2020
Trust in AI Agent: A Systematic Review of Facial Anthropomorphic Trustworthiness for Social Robot Design.
Synthesis in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
17 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- The uncanny valley effect in embodied conversational agents: a critical systematic review of attractiveness, anthropomorphism, and uncanniness.Frontiers in psychology · 2025Pooled it
- Visual analysis of trustworthiness studies: based on the Web of Science database.Frontiers in psychology · 2024Pooled it
- The Influence of Academic Emotions on Learning Effects: A Systematic Review.International journal of environmental research and public health · 2021Pooled it
- Comparing Facial Attractiveness and Professional Acceptance Between Real and AI-Generated Orthodontic Treatment Outcome Images.Orthodontics & craniofacial research · 2026Article
- User requirements for an emotion-intelligent autonomous care robot in long-term care.European geriatric medicine · 2026Article
- Toward a Compositional Theory of Trust in Embodied Intelligence: A QNLP Framework for Modeling Context, Interaction, and Trustworthiness.Biomimetics (Basel, Switzerland) · 2026Article
- Promoting xenomorphic patient-facing AIs: The case against anthropomorphism in medical AIs.NPJ digital medicine · 2025Review
- Factors influencing older adults' adoption of AI voice assistants: extending the UTAUT model.Frontiers in psychology · 2025Article
- Agentive linguistic framing affects responsibility assignments toward AIs and their creators.Frontiers in psychology · 2025Article
- When Trustworthiness Meets Face: Facial Design for Social Robots.Sensors (Basel, Switzerland) · 2024Article
- Research Hotspots and Trends of Social Robot Interaction Design: A Bibliometric Analysis.Sensors (Basel, Switzerland) · 2023Review
- Enhancing the Sense of Attention from an Assistance Mobile Robot by Improving Eye-Gaze Contact from Its Iconic Face Displayed on a Flat Screen.Sensors (Basel, Switzerland) · 2022Article
- Would You Trust Driverless Service? Formation of Pedestrian's Trust and Attitude Using Non-Verbal Social Cues.Sensors (Basel, Switzerland) · 2022Article
- The Social Robot and the Digital Physiotherapist: Are We Ready for the Team Play?Healthcare (Basel, Switzerland) · 2021Article
- An empirical investigation of trust in AI in a Chinese petrochemical enterprise based on institutional theory.Scientific reports · 2021Article
- Feeling of Safety and Comfort towards a Socially Assistive Unmanned Aerial Vehicle That Monitors People in a Virtual Home.Sensors (Basel, Switzerland) · 2021Article
- Integration of a Social Robot in a Pedagogical and Logopedic Intervention with Children: A Case Study.Sensors (Basel, Switzerland) · 2020Article
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
Abstract
As an emerging artificial intelligence system, social robot could socially communicate and interact with human beings. Although this area is attracting more and more attention, limited research has tried to systematically summarize potential features that could improve facial anthropomorphic trustworthiness for social robot. Based on the literature from human facial perception, product, and robot face evaluation, this paper systematically reviews, evaluates, and summarizes static facial features, dynamic features, their combinations, and related emotional expressions, shedding light on further exploration of facial anthropomorphic trustworthiness for social robot design.
Indexed as
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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.