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Topic · Social Psychology

Human-Automation Interaction and Safety

Human-Automation Interaction and Safety is a research topic within Social Psychology. Science Explorer counts 32k research works in it since 1950. 23.4% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the interaction between humans and automation systems, particularly in the context of driving and autonomous vehicles. It covers topics such as trust in automation, driver distraction, mental workload, situation awareness, and user acceptance of autonomous vehicles.

  • Trust
  • Automation
  • Driver Distraction
  • Mental Workload
  • Situation Awareness
  • Autonomous Vehicles
  • Human Factors
  • Cognitive Load
  • Driver Behavior
  • User Acceptance
Research works
32k
fractional, since 1950
In the world top 10%
7.6k
per year above
Top-10% rate
23.4%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+42%
the tick is no change

Which countries lead Human-Automation Interaction and Safety research?

By volume, the United States and China publish the most (1.9k and 1.3k works in 2022–2025).

By volume, 2022–2025

  1. 1 United States 1.9k works
  2. 2 China 1.3k works
  3. 3 Germany 709 works
  4. 4 United Kingdom 373 works
  5. 5 Japan 325 works
  6. 6 India 287 works
  7. 7 Italy 255 works
  8. 8 Australia 249 works
  9. 9 Canada 233 works
  10. 10 France 230 works

How concentrated that is

The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.

United States: 32.1%China: 22.3%Germany: 12.2%United Kingdom: 6.4%6 others listed: 27.1%32%largest
United States1,871 · 32.1%China1,302 · 22.3%Germany709 · 12.2%United Kingdom373 · 6.4%6 others listed1,579 · 27.1%

Shares of the rows listed above, not of the whole node.

Which institutions lead Human-Automation Interaction and Safety research?

By volume in 2022–2025, Delft University of Technology publishes the most Human-Automation Interaction and Safety research, followed by Tongji University and Tsinghua University.

By volume, 2022–2025

  1. 1 Delft University of TechnologyNetherlands 74 works
  2. 2 Tongji UniversityChina 62 works
  3. 3 Tsinghua UniversityChina 60 works
  4. 4 Purdue University West LafayetteUnited States 57 works
  5. 5 Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)Germany 56 works
  6. 6 Technical University of MunichGermany 46 works
  7. 7 Beihang UniversityChina 43 works
  8. 8 University of MichiganUnited States 41 works
  9. 9 Virginia TechUnited States 41 works
  10. 10 Georgia Institute of TechnologyUnited States 40 works

Where is Human-Automation Interaction and Safety research done?

The largest centres of Human-Automation Interaction and Safety research in 2022–2025 are Beijing (China), Shanghai (China), Tokyo (Japan) and Munich (Germany). Among places with at least 20 works in it, it is an unusually large share of all research in Ingolstadt, Daytona and Cranfield.

Largest cities, 2022–2025

  1. 1 Beijing China 312 works
  2. 2 Shanghai China 149 works
  3. 3 Tokyo Japan 134 works
  4. 4 Munich Germany 95 works
  5. 5 Xi'an China 93 works
  6. 6 Seoul South Korea 92 works
  7. 7 Nanjing China 86 works
  8. 8 Delft Netherlands 79 works
  9. 9 Cologne Germany 69 works
  10. 10 London United Kingdom 62 works

Where it is the local speciality

  1. IngolstadtDE · 21.5 works61×
  2. DaytonaUS · 24.8 works47×
  3. CranfieldGB · 24.4 works23×
  4. ClemsonUS · 38.7 works17×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Human-Automation Interaction and Safety than the world average.

See Human-Automation Interaction and Safety on the map

Where is the best place to study Human-Automation Interaction and Safety?

Among universities, judged by research, Delft University of Technology, Universität Ulm and Cranfield University score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.

0%25%50%mean 40.31%fractional works in this node (log) →share in the world top 10% →Delft University of Technology: 74, 41.9%Universität Ulm: 20, 44.8%Cranfield University: 24, 37.3%Coventry University: 14, 41.2%Queensland University of Technology: 28, 40.3%Hong Kong Polytechnic University: 31, 42.6%University of the Sunshine Coast: 11, 37.5%RMIT University: 10, 58.9%Clemson University: 39, 29.6%Technical University of Munich: 46, 29.0%Universität UlmDelft University of …Coventry UniversityCranfield University
above the meannear itbelow it

One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.

#UniversityScoreTop 10%SpecialisationWorksGrowth
1 Delft University of TechnologyNetherlands 74.841.9%14.2×74 +8.4%
2 Universität UlmGermany 73.544.8%17.1×20 +179.9%
3 Cranfield UniversityUnited Kingdom 71.937.3%23.4×24 +175.8%
4 Coventry UniversityUnited Kingdom 71.541.2%14.4×14 +215.8%
5 Queensland University of TechnologyAustralia 65.940.3%10.4×28 +24.5%
6 Hong Kong Polytechnic UniversityHong Kong 64.242.6%4.5×31 +139.2%
7 University of the Sunshine CoastAustralia 63.337.5%14.1×11 +172.4%
8 RMIT UniversityAustralia 63.258.9%3.7×10 +506.1%
9 Clemson UniversityUnited States 62.929.6%16.8×39 +69.8%
10 Technical University of MunichGermany 62.829.0%7.5×46 +116.0%

Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.

Is Human-Automation Interaction and Safety research growing?

Output in 2018–2022 was 42% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Human-Automation Interaction and Safety.

19801990200020102020
grewheldshrank

The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.

Which topics inside it are moving

Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.