Pith. sign in

REVIEW 4 cited by

A Review on Trust in Human-Robot Interaction

Not yet reviewed by Pith; the record is open.

Re-run · record.json Download PDF Read on arXiv ↗

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2105.10045 v1 pith:VS3GSX4O submitted 2021-05-20 cs.RO cs.CYcs.HC

Zahra Rezaei Khavas This is my paper · ORCID
classification cs.ROcs.CYcs.HC
keywords human-robottrusthumansfieldinteractionresearchrobotsreview
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

Due to agile developments in the field of robotics and human-robot interaction, prospective robotic agents are intended to play the role of teammates and partner with humans to perform operations, rather than tools that are replacing humans helping humans in a specific task. this notion of partnering with robots raises new challenges for human-robot interaction (HRI), which gives rise to a new field of research in HRI, namely human-robot trust. Where humans and robots are working as partners, the performance of the work can be diminished if humans do not trust robots appropriately. Considering the impact of human-robot trust observed in different HRI fields, many researchers have investigated the field of human-robot trust and examined various concerns related to human-robot trust. In this work, we review the past works on human-robot trust based on the research topics and discuss selected trends in this field. Based on these reviews, we finally propose some ideas and areas of potential future research at the end of this paper.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 4 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Safety in Embodied AI: A Survey of Risks, Attacks, and Defenses

    cs.CR 2026-03 unverdicted novelty 6.0 of 10

    The survey organizes over 400 papers on embodied AI safety into a multi-level taxonomy and flags overlooked issues such as fragile multimodal fusion and unstable planning under jailbreaks.

  2. PPTP: Performance-Guided Physiological Signal-Based Trust Prediction in Human-Robot Collaboration

    cs.HC 2025-06 conditional novelty 6.0 of 10

    A performance-guided fusion of ECG, GSR, and EMG reaches 81.1% accuracy in three-level and 74.3% in seven-level trust classification during human-robot construction tasks.

  3. Humans Coexist, So Must Embodied Artificial Agents

    cs.LG 2025-02 conditional novelty 5.0 of 10

    Coexistence, defined as sustained meaningful and reciprocal interaction among an agent, humans, and environment, is presented as a necessary design goal for embodied AI.

  4. A Call for Collaborative Intelligence: Why Human-Agent Systems Should Precede AI Autonomy

    cs.AI 2025-06 conditional novelty 4.0 of 10

    A position paper arguing that LLM-based human-agent systems, not fully autonomous agents, should be the immediate goal for AI development.

Pith tools