Find related topics. | Discover entities. | See connections. | Build a topical map.
Human reliability: Research, Technology, Cultures & Measurement
In the field of human factors and ergonomics, human reliability (also known as human performance or HU) is the probability that a human performs a task to a sufficient standard. Reliability of humans can be affected by many factors such as age, physical health, mental state, attitude, emotions, personal propensity for certain mistakes, and cognitive biases.
Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.
More settings
Human reliability topic overview
The analysis highlights Research, Technology, Cultures and Measurement as prominent areas in the source structure around Human reliability.
Related topics
58
Source areas
4
Connected nodes
62
Extracted relationships
68
Related term clusters
24
Bridge connections
62
What this topic covers Research coverage
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Human reliability analysis · 30 topics
Overview · 16 topics
Factors Affecting Human Performance · 7 topics
Research labs · 5 topics
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
Key facts & relationships
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Start with your topic. Discover where to go next.
Explore different angles and find fresh ideas to shape your next piece of content.
Human reliability
8Human factors and ergonomics · Human · Senescence
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
You can skip this section if you’re here for content ideas and keyword inspiration.
Advanced semantic analysis
How Human reliability connects Entity context
Entity context groups extracted connections by relationship type. Counts show recurrence in the analyzed source; the examples are research signals, not claims about importance.
The extracted context around Human reliability shows recurring relationship patterns in the source. For example, Human reliability → Archived, Cognitive Systems Engineering Laboratory, Complexity, Crisis, Dekker's Leonardo, Erik Hollnagel, Human Reliability Studies, LaboratoryFlight Cognition Laboratory, Lund University, MINES ParisTechHuman Reliability Analysis, NASA Ames Research CenterDavid, Risk Research Centre, Sweden, Systems Thinking, The Ohio State UniversitySidney, US Oak Ridge National, US Sandia National LaboratoriesCenter, Vinci Laboratory, Wayback Machine, Woods Another extracted example is Human reliability → ASEP, Code, Human Error Rate Prediction, Human Reliability Analysis, One, PRA, Program, SHEAN, Simplified Human Error Analysis, SPAR-H, Standardized Plant Analysis Risk, Technique, The Accident Sequence Evaluation, THERP, US Nuclear Regulatory Commission. Use these groups to spot repeated connection types before inspecting the individual relationships.
Human reliability
Top relations
related to Research labs· 20
Human reliability → Archived, Cognitive Systems Engineering Laboratory, Complexity, Crisis, Dekker's Leonardo, Erik Hollnagel, Human Reliability Studies, LaboratoryFlight Cognition Laboratory, Lund University, MINES ParisTechHuman Reliability Analysis, NASA Ames Research CenterDavid, Risk Research Centre, Sweden, Systems Thinking, The Ohio State UniversitySidney, US Oak Ridge National, US Sandia National LaboratoriesCenter, Vinci Laboratory, Wayback Machine, Woods
related to PRA-based techniques· 15
Human reliability → ASEP, Code, Human Error Rate Prediction, Human Reliability Analysis, One, PRA, Program, SHEAN, Simplified Human Error Analysis, SPAR-H, Standardized Plant Analysis Risk, Technique, The Accident Sequence Evaluation, THERP, US Nuclear Regulatory Commission
related to Cognitive control based techniques· 6
Human reliability → COCOM, Cognitive Reliability, Contextual Control Model, CREAM, Erik Hollnagel, Error Analysis Method
related to Media coverage· 5
Human reliability → Archived, Avoid Human Error, Industrial Engineer, November, Wayback Machine
related to Human reliability analysis· 3
Human reliability → HRA, PRA, Two
related to Factors Affecting Human Performance· 2
Human reliability → Human, Strategies
is a· 1
Human reliability → straightforward extension of probabilistic risk assessment
Important terminology
Frequent words and multi-word phrases across the lead, headings, infobox and body. Useful for terminology coverage.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
Human reliability relationships Subject–Predicate–Object triples
Relationships are represented as Subject → Predicate → Object triples. Confidence describes extraction strength, not the real-world importance of a relationship; lower-confidence rows may be contextual rather than explicit.
TTTA extracted 68 structured relationships around Human reliability. Examples in this analysis include Human reliability → is a → straightforward extension of probabilistic risk assessment and age → instance of → Reliability of humans can be affected by many factors. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Human reliability
is a
straightforward extension of probabilistic risk assessment
0.90
text
age
instance of
Reliability of humans can be affected by many factors
0.80
text
physical health
instance of
Reliability of humans can be affected by many factors
0.80
text
mental state
instance of
Reliability of humans can be affected by many factors
0.80
text
attitude
instance of
Reliability of humans can be affected by many factors
0.80
text
emotions
instance of
Reliability of humans can be affected by many factors
0.80
text
personal propensity for certain mistakes
instance of
Reliability of humans can be affected by many factors
0.80
text
and cognitive biases.Human reliability is important to the resilience of socio-technical systems
instance of
Reliability of humans can be affected by many factors
0.80
text
and has implications for fields like manufacturing
instance of
Reliability of humans can be affected by many factors
0.80
text
medicine
instance of
Reliability of humans can be affected by many factors
0.80
text
nuclear power
instance of
Reliability of humans can be affected by many factors
0.80
text
psychological stress
instance of
and human reliability are especially important to consider when work is performed in a complex and high-risk environment.Strategies for dealing with performance-shaping factors
0.80
text
No triples extracted yet.
Related concept clusters Related term clusters
Related term clusters group terms that sit near one another in the extracted graph. They are useful for discovering adjacent language and context, but proximity does not by itself imply a factual relationship.
The concept neighborhoods around Human reliability bring nearby vocabulary together. In this analysis, examples include Error, Reliability and Analysis. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Human reliability
Error
Reliability
Analysis
Systems
Performance
Safety
Therp
Power
System
Method
Nuclear
Assessment
human reliability
Analysis
Error
Reliability
Method
Assessment
Power
Nuclear
Systems
Performance
Risk
Control
Safety
human factors and ergonomics
Error
Reliability
System
Analysis
Cognitive
Biases
Aviation
Human
Approach
Control
Systems
Performance
cognitive biases
Control
Performance
Factors
Reliability
Biases
Cognitive
Based
Risk
Analysis
Engineering
Hollnagel
Method
nuclear power
Power
Regulatory
Risk
Reliability
Book
Analysis
Archived
Assessment
Authors
Cite
Cs1
Link
human error
Error
Human
Reliability
Analysis
Therp
Systems
Performance
System
Method
Safety
Factors
Power
task analysis
Reliability
Human
Error
Method
System
Cognitive
Factors
Control
Nuclear
Safety
Systems
Assessment
technique for human error rate prediction
Error
Human
Reliability
Analysis
Therp
Systems
Performance
System
Method
Safety
Factors
Power
Connections between topic areas Semantic bridges
Semantic bridges connect parts of the graph that would otherwise be more separate. A bridge is a structural signal in this analysis, not a claim that the two topic areas are equivalent.
For Human reliability, one of the stronger structural bridges in this analysis connects Human reliability with Human reliability analysis. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
Min side: 3
Human reliability — Human reliability analysis· splits 32 ⟂ 31Human reliability — Overview· splits 46 ⟂ 17Human reliability — Factors Affecting Human Performance· splits 55 ⟂ 8Human reliability — Research labs· splits 57 ⟂ 6
Map overview Semantic statistics
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Human reliability
Nodes63
Edges62
Triples68
Avg. degree1.97
Density0.031746
Components1
Source & methodology
TTTA analyzes the structure around Human reliability to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Research, Technology, Cultures & Measurement, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
